{
  "metadata": {
    "generated_at": "2026-11-10T10:14:00Z",
    "min_stars": 100,
    "total": 333,
    "source": "GitHub REST API; persistent catalog with search discovery",
    "ranking": "stars_desc_then_trend_score",
    "trend_window_days": 7,
    "long_window_days": 30,
    "history_retention_days": 60,
    "first_seen_baseline_date": "2026-08-27",
    "first_seen_source": "ranking_snapshots",
    "collection": {
      "status": "partial",
      "pending_count": 1,
      "search_errors": 0
    }
  },
  "items": [
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 1,
      "repo": "binary-husky/gpt_academic",
      "stars": 71634,
      "star_delta_1d": 1,
      "star_delta_7d": 32,
      "star_delta_30d": 32,
      "trend_score": 77.24,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。",
      "language": "Python",
      "topics": [
        "academic",
        "chatglm-6b",
        "chatgpt",
        "gpt-4",
        "large-language-models"
      ],
      "created_date": "2023-03-20",
      "last_push_date": "2026-01-25",
      "url": "https://github.com/binary-husky/gpt_academic",
      "homepage": "https://github.com/binary-husky/gpt_academic/wiki/online",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 8319,
      "open_issues": 333,
      "watchers": 71634,
      "size_kb": 72756,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 2,
      "repo": "K-Dense-AI/scientific-agent-skills",
      "stars": 56660,
      "star_delta_1d": 31,
      "star_delta_7d": 802,
      "star_delta_30d": 8323,
      "trend_score": 1020.2,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.",
      "language": "Python",
      "topics": [
        "agent-skills",
        "ai-scientist",
        "bioinformatics",
        "chemoinformatics",
        "claude",
        "claude-skills",
        "claudecode",
        "clinical-research",
        "computational-biology",
        "data-analysis",
        "drug-discovery",
        "genomics",
        "materials-science",
        "metabolomics",
        "proteomics",
        "scientific-computing",
        "scientific-visualization"
      ],
      "created_date": "2025-10-19",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/K-Dense-AI/scientific-agent-skills",
      "homepage": "https://arxiv.org/abs/2609.00065",
      "agents": [
        "claude-code",
        "codex",
        "cursor"
      ],
      "precision_signals": [
        "agent skill",
        "research",
        "science",
        "scientific",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 4972,
      "open_issues": 84,
      "watchers": 56660,
      "size_kb": 471615,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 177,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 3,
      "repo": "Imbad0202/academic-research-skills",
      "stars": 56288,
      "star_delta_1d": 66,
      "star_delta_7d": 1218,
      "star_delta_30d": 5025,
      "trend_score": 1519.55,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Academic Research Skills for Claude Code: research → write → review → revise → finalize",
      "language": "Python",
      "topics": [
        "academic-pipeline",
        "academic-writing",
        "ai-research",
        "claude",
        "claude-code",
        "literature-review",
        "peer-review",
        "prompt-engineering"
      ],
      "created_date": "2026-02-26",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/Imbad0202/academic-research-skills",
      "homepage": "https://buymeacoffee.com/crucify020v",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "literature",
        "research",
        "review",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 4283,
      "open_issues": 41,
      "watchers": 56288,
      "size_kb": 25343,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 5,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 4,
      "repo": "Yuan1z0825/nature-skills",
      "stars": 53000,
      "star_delta_1d": 51,
      "star_delta_7d": 1096,
      "star_delta_30d": 5744,
      "trend_score": 1372.92,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "符合nature论文学术表达和科研绘图的Skill",
      "language": "Python",
      "topics": [
        "codex-skills",
        "nature",
        "nature-skills"
      ],
      "created_date": "2026-04-24",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/Yuan1z0825/nature-skills",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "skill",
        "skills",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2757,
      "open_issues": 10,
      "watchers": 53000,
      "size_kb": 41980,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 24,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 5,
      "repo": "mli/paper-reading",
      "stars": 34095,
      "star_delta_1d": 0,
      "star_delta_7d": 34,
      "star_delta_30d": 34,
      "trend_score": 77.06,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "深度学习经典、新论文逐段精读",
      "language": "",
      "topics": [
        "deep-learning",
        "paper",
        "reading-list"
      ],
      "created_date": "2021-10-22",
      "last_push_date": "2025-03-22",
      "url": "https://github.com/mli/paper-reading",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2810,
      "open_issues": 2,
      "watchers": 34095,
      "size_kb": 9001,
      "default_branch": "main",
      "has_issues": false,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 6,
      "repo": "AccumulateMore/CV",
      "stars": 24268,
      "star_delta_1d": 0,
      "star_delta_7d": 74,
      "star_delta_30d": 74,
      "trend_score": 132.46,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】",
      "language": "Jupyter Notebook",
      "topics": [
        "agent",
        "agents",
        "book",
        "chinese",
        "computer-vision",
        "cv",
        "deep-learning",
        "jupyter-notebook",
        "llm",
        "llms",
        "machine-learning",
        "natural-language-processing",
        "nlp",
        "notebook",
        "python",
        "rag"
      ],
      "created_date": "2022-03-31",
      "last_push_date": "2026-09-20",
      "url": "https://github.com/AccumulateMore/CV",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2672,
      "open_issues": 29,
      "watchers": 24268,
      "size_kb": 395031,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 7,
      "repo": "amusi/CVPR2026-Papers-with-Code",
      "stars": 22951,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 49.29,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "CVPR 2026 论文和开源项目合集",
      "language": "",
      "topics": [
        "computer-vision",
        "cvpr",
        "cvpr2020",
        "cvpr2021",
        "cvpr2022",
        "cvpr2023",
        "cvpr2024",
        "cvpr2025",
        "cvpr2026",
        "deep-learning",
        "image-processing",
        "image-segmentation",
        "machine-learning",
        "object-detection",
        "paper",
        "python",
        "semantic-segmentation",
        "transformer",
        "transformers",
        "visual-tracking"
      ],
      "created_date": "2020-02-26",
      "last_push_date": "2026-03-08",
      "url": "https://github.com/amusi/CVPR2026-Papers-with-Code",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "thesis",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2786,
      "open_issues": 29,
      "watchers": 22951,
      "size_kb": 473,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 8,
      "repo": "kaixindelele/ChatPaper",
      "stars": 20017,
      "star_delta_1d": 2,
      "star_delta_7d": 24,
      "star_delta_30d": 24,
      "trend_score": 63.21,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "peer-review",
        "zh": "评审反馈",
        "en": "Peer Review"
      },
      "description": "Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复",
      "language": "Python",
      "topics": [
        "arxiv",
        "paper"
      ],
      "created_date": "2023-03-08",
      "last_push_date": "2026-03-02",
      "url": "https://github.com/kaixindelele/ChatPaper",
      "homepage": "https://academic.chatpaper.top",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "arxiv",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "学术",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 1936,
      "open_issues": 84,
      "watchers": 20017,
      "size_kb": 37021,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 9,
      "repo": "wanshuiyin/Auto-claude-code-research-in-sleep",
      "stars": 18965,
      "star_delta_1d": 14,
      "star_delta_7d": 445,
      "star_delta_30d": 1710,
      "trend_score": 587.78,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.",
      "language": "Python",
      "topics": [
        "ai-research",
        "ai-tools",
        "aris",
        "autonomous-agent",
        "claude",
        "claude-code",
        "claude-code-skills",
        "codex",
        "deep-learning",
        "gpt",
        "idea-generation",
        "llm",
        "machine-learning",
        "mcp",
        "mcp-server",
        "ml-research",
        "openai",
        "paper-review",
        "paper-writing",
        "research-automation"
      ],
      "created_date": "2026-03-10",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex",
        "mcp"
      ],
      "precision_signals": [
        "claude code",
        "experiment",
        "paper",
        "research",
        "review",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 1535,
      "open_issues": 74,
      "watchers": 18965,
      "size_kb": 37995,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 197,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 10,
      "repo": "Orchestra-Research/AI-Research-SKILLs",
      "stars": 14408,
      "star_delta_1d": 7,
      "star_delta_7d": 200,
      "star_delta_30d": 969,
      "trend_score": 286.53,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.",
      "language": "TeX",
      "topics": [
        "ai",
        "ai-research",
        "claude",
        "claude-code",
        "claude-skills",
        "codex",
        "gemini",
        "gpt-5",
        "grpo",
        "huggingface",
        "machine-leanring",
        "megatron",
        "skills",
        "vllm"
      ],
      "created_date": "2025-11-03",
      "last_push_date": "2026-10-11",
      "url": "https://github.com/Orchestra-Research/AI-Research-SKILLs",
      "homepage": "http://orchestra-research.com",
      "agents": [
        "claude-code",
        "codex",
        "gemini"
      ],
      "precision_signals": [
        "claude code",
        "research",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 996,
      "open_issues": 26,
      "watchers": 14408,
      "size_kb": 21171,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 98,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 11,
      "repo": "Imbad0202/academic-research-skills-codex",
      "stars": 14315,
      "star_delta_1d": 19,
      "star_delta_7d": 380,
      "star_delta_30d": 1771,
      "trend_score": 508.32,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows",
      "language": "Python",
      "topics": [
        "academic-pipeline",
        "academic-research",
        "academic-writing",
        "ai-research",
        "codex",
        "literature-review",
        "openai-codex",
        "peer-review",
        "prompt-engineering",
        "research-assistant"
      ],
      "created_date": "2026-04-25",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/Imbad0202/academic-research-skills-codex",
      "homepage": "https://github.com/Imbad0202/academic-research-skills",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "literature",
        "research",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 616,
      "open_issues": 1,
      "watchers": 14315,
      "size_kb": 13663,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 12,
      "repo": "extreme-assistant/CVPR2024-Paper-Code-Interpretation",
      "stars": 12457,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 32.76,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理",
      "language": "",
      "topics": [
        "computer-vision",
        "cvpr2019",
        "cvpr2020",
        "cvpr2021",
        "cvpr2022",
        "deep-learning",
        "image-classification",
        "image-segmentation",
        "machine-learning",
        "object-detection",
        "papers"
      ],
      "created_date": "2019-02-26",
      "last_push_date": "2024-04-25",
      "url": "https://github.com/extreme-assistant/CVPR2024-Paper-Code-Interpretation",
      "homepage": "http://bbs.cvmart.net/",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "assistant",
        "missing_strong_skill_signal",
        "paper",
        "paper reading",
        "papers",
        "readme_scope",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 2221,
      "open_issues": 40,
      "watchers": 12457,
      "size_kb": 1357,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 13,
      "repo": "HKUSTDial/Supervisor-Skills",
      "stars": 12173,
      "star_delta_1d": 35,
      "star_delta_7d": 722,
      "star_delta_30d": 3264,
      "trend_score": 917.98,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。",
      "language": "Python",
      "topics": [
        "ai-research",
        "ai-researcher",
        "awesome",
        "awesome-list",
        "phd-research",
        "research-skills",
        "skills",
        "vibe-research"
      ],
      "created_date": "2026-04-19",
      "last_push_date": "2026-11-05",
      "url": "https://github.com/HKUSTDial/Supervisor-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "phd",
        "research",
        "skill",
        "skills",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 719,
      "open_issues": 3,
      "watchers": 12173,
      "size_kb": 64514,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 12,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 14,
      "repo": "AhmadHassan-BTed/Turnitout-Humanizer",
      "stars": 12032,
      "star_delta_1d": 14,
      "star_delta_7d": 427,
      "star_delta_30d": 427,
      "trend_score": 568.72,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "FREE FOREVER, NO LIMITS 100% Programmatic, Zero-AI Plagiarism Remover & Similarity Evader. Bypass Turnitin, iThenticate, GPTZero, CopyLeaks, Quillbot & ZeroGPT for LaTeX, DOCX, & Multi-Language Source Code.",
      "language": "HTML",
      "topics": [
        "academic-writing",
        "ai-humanizer",
        "ai-humanizer-bypass",
        "ai-humanizer-crack",
        "ai-humanizer-free",
        "ai-humanizer-online",
        "ai-remover",
        "code-humanizer",
        "document-humanizer",
        "humanizer",
        "paraphrasing-tool",
        "plagerism-reduction",
        "plagerism-remover",
        "plagiarism-checker-free",
        "similarity-removal",
        "text-humanizer",
        "turnitin",
        "turnitin-bypass",
        "turnitin-destroyer",
        "writing-assistant"
      ],
      "created_date": "2026-07-10",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/AhmadHassan-BTed/Turnitout-Humanizer",
      "homepage": "https://ahmadhassan-bted.github.io/Turnitout-Humanizer/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "assistant",
        "latex",
        "manuscript",
        "missing_strong_skill_signal",
        "readme_scope",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 288,
      "open_issues": 0,
      "watchers": 12032,
      "size_kb": 688,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 15,
      "repo": "ChenLiu-1996/figures4papers",
      "stars": 10724,
      "star_delta_1d": 68,
      "star_delta_7d": 1233,
      "star_delta_30d": 2369,
      "trend_score": 1527.03,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "My Python scripts to make high-quality figures for publications in top AI conferences and journals.",
      "language": "Python",
      "topics": [
        "acl",
        "cvpr",
        "eccv",
        "emnlp",
        "figures",
        "iccv",
        "iclr",
        "icml",
        "llm",
        "llm-skills",
        "machine-learning",
        "nature",
        "nature-machine-intelligence",
        "neurips",
        "python",
        "scientific-figure",
        "skill",
        "skills"
      ],
      "created_date": "2025-04-29",
      "last_push_date": "2026-10-19",
      "url": "https://github.com/ChenLiu-1996/figures4papers",
      "homepage": "https://chenliu-1996.github.io/",
      "agents": [],
      "precision_signals": [
        "journal",
        "paper",
        "papers",
        "scientific",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 751,
      "open_issues": 1,
      "watchers": 10724,
      "size_kb": 45640,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 16,
      "repo": "hoochanlon/hamuleite",
      "stars": 10075,
      "star_delta_1d": 2,
      "star_delta_7d": 51,
      "star_delta_30d": 196,
      "trend_score": 110.27,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。",
      "language": "Jupyter Notebook",
      "topics": [
        "academic",
        "economics",
        "humanities",
        "research",
        "skills",
        "sociology"
      ],
      "created_date": "2018-02-15",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/hoochanlon/hamuleite",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "research",
        "skill",
        "skills",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 1915,
      "open_issues": 1,
      "watchers": 10075,
      "size_kb": 76832,
      "default_branch": "master",
      "has_issues": false,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-07",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 17,
      "repo": "LAMDA-NeSy/Research-Starter-Kit",
      "stars": 9973,
      "star_delta_1d": 9,
      "star_delta_7d": 403,
      "star_delta_30d": 403,
      "trend_score": 527.2,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "从0开始，掌握做科研、写论文的基本流程。",
      "language": "",
      "topics": [
        "ai-research",
        "awesome",
        "awesome-list",
        "phd",
        "phd-research",
        "research-assistant",
        "research-skills"
      ],
      "created_date": "2026-08-29",
      "last_push_date": "2026-09-01",
      "url": "https://github.com/LAMDA-NeSy/Research-Starter-Kit",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "assistant",
        "phd",
        "research",
        "skill",
        "skills",
        "trusted_seed",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 372,
      "open_issues": 4,
      "watchers": 9973,
      "size_kb": 202,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 18,
      "repo": "francescopace/espectre",
      "stars": 9796,
      "star_delta_1d": 6,
      "star_delta_7d": 69,
      "star_delta_30d": 69,
      "trend_score": 134.56,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Wi-Fi motion sensing platform for ESP32. C++ SDK, ESPHome, Native, and Matter frontends, browser tools, and a CLI for the full device lifecycle. GPLv3 and commercial licensing.",
      "language": "Python",
      "topics": [
        "csi",
        "diy",
        "embedded",
        "esp-32",
        "espectre",
        "espressif",
        "home-assistant",
        "matter",
        "motion-detection",
        "wifi",
        "wifi-sensing",
        "wifisensing"
      ],
      "created_date": "2025-10-26",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/francescopace/espectre",
      "homepage": "https://espectre.dev/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "assistant",
        "literature review",
        "missing_academic_signal",
        "missing_strong_skill_signal",
        "readme_scope",
        "research workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 741,
      "open_issues": 14,
      "watchers": 9796,
      "size_kb": 441071,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 19,
      "repo": "datawhalechina/Agent-Learning-Hub",
      "stars": 9326,
      "star_delta_1d": 3,
      "star_delta_7d": 126,
      "star_delta_30d": 126,
      "trend_score": 183.15,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI Agent 学习路线与资料库收集",
      "language": "HTML",
      "topics": [],
      "created_date": "2026-05-17",
      "last_push_date": "2026-07-19",
      "url": "https://github.com/datawhalechina/Agent-Learning-Hub",
      "homepage": "https://datawhalechina.github.io/Agent-Learning-Hub/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 931,
      "open_issues": 9,
      "watchers": 9326,
      "size_kb": 57,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T02:03:55Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 20,
      "repo": "Master-cai/Research-Paper-Writing-Skills",
      "stars": 8230,
      "star_delta_1d": 9,
      "star_delta_7d": 199,
      "star_delta_30d": 846,
      "trend_score": 270.12,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.",
      "language": "",
      "topics": [],
      "created_date": "2026-03-05",
      "last_push_date": "2026-06-23",
      "url": "https://github.com/Master-cai/Research-Paper-Writing-Skills",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex",
        "gemini"
      ],
      "precision_signals": [
        "claude code",
        "paper",
        "research",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 380,
      "open_issues": 0,
      "watchers": 8230,
      "size_kb": 40,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 21,
      "repo": "dwzhu-pku/PaperBanana",
      "stars": 7607,
      "star_delta_1d": 2,
      "star_delta_7d": 64,
      "star_delta_30d": 64,
      "trend_score": 126.33,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "PaperBanana: Automating Academic Illustration For AI Scientists",
      "language": "Python",
      "topics": [],
      "created_date": "2026-01-30",
      "last_push_date": "2026-11-03",
      "url": "https://github.com/dwzhu-pku/PaperBanana",
      "homepage": "https://dwzhu-pku.github.io/PaperBanana/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 576,
      "open_issues": 3,
      "watchers": 7607,
      "size_kb": 15138,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 22,
      "repo": "alchaincyf/darwin-skill",
      "stars": 6871,
      "star_delta_1d": 4,
      "star_delta_7d": 102,
      "star_delta_30d": 102,
      "trend_score": 161.35,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "达尔文.skill —— 一个让你的Skill无限进化的系统：评估→改进→测试→保留或回滚 | Autoresearch-inspired autonomous skill optimization for Claude Code. Evaluate, improve, test, keep or revert.",
      "language": "HTML",
      "topics": [
        "agent-skills",
        "ai-agents",
        "autoresearch",
        "claude-code",
        "claude-code-skills",
        "claude-skills",
        "codex",
        "evaluation",
        "huashu-skills",
        "llm",
        "openclaw",
        "prompt-optimization",
        "self-improving",
        "skills"
      ],
      "created_date": "2026-04-13",
      "last_push_date": "2026-09-18",
      "url": "https://github.com/alchaincyf/darwin-skill",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "claude code",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 709,
      "open_issues": 7,
      "watchers": 6871,
      "size_kb": 4474,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 23,
      "repo": "src-d/awesome-machine-learning-on-source-code",
      "stars": 6672,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 37.79,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Cool links & research papers related to Machine Learning applied to source code (MLonCode)",
      "language": "",
      "topics": [
        "awesome",
        "awesome-list",
        "machine-learning",
        "machine-learning-on-source-code"
      ],
      "created_date": "2017-06-20",
      "last_push_date": "2020-12-03",
      "url": "https://github.com/src-d/awesome-machine-learning-on-source-code",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "literature review",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 829,
      "open_issues": 8,
      "watchers": 6672,
      "size_kb": 698,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "cc-by-sa-4.0",
        "name": "Creative Commons Attribution Share Alike 4.0 International",
        "spdx_id": "CC-BY-SA-4.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 24,
      "repo": "jihe520/MathModelAgent",
      "stars": 6306,
      "star_delta_1d": 0,
      "star_delta_7d": 25,
      "star_delta_30d": 114,
      "trend_score": 78.6,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模，生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.",
      "language": "TeX",
      "topics": [
        "agent",
        "llm",
        "mathmodel",
        "skills"
      ],
      "created_date": "2025-01-30",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/jihe520/MathModelAgent",
      "homepage": "https://mathmodel.top/home",
      "agents": [],
      "precision_signals": [
        "paper",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 457,
      "open_issues": 44,
      "watchers": 6306,
      "size_kb": 101913,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 11,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 25,
      "repo": "WUBING2023/PaperSpine",
      "stars": 6246,
      "star_delta_1d": 3,
      "star_delta_7d": 81,
      "star_delta_30d": 81,
      "trend_score": 141.7,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "PaperSpine5 — local-first, evidence-bound paper research, writing, figures, review and delivery. Download: https://wubing2023.github.io/PaperSpine/v5/",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-17",
      "last_push_date": "2026-10-14",
      "url": "https://github.com/WUBING2023/PaperSpine",
      "homepage": "https://wubing2023.github.io/PaperSpine/v5/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "review",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 252,
      "open_issues": 1,
      "watchers": 6246,
      "size_kb": 95684,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 7,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 26,
      "repo": "ScrapeCreators/social-media-research-skills",
      "stars": 6141,
      "star_delta_1d": 25,
      "star_delta_7d": 806,
      "star_delta_30d": 806,
      "trend_score": 1002.25,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn & more. Powered by ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.",
      "language": "Python",
      "topics": [
        "agent-skills",
        "ai-agents",
        "claude-code",
        "claude-skills",
        "competitor-analysis",
        "content-marketing",
        "cursor",
        "influencer-marketing",
        "market-research",
        "social-media",
        "social-media-research",
        "workflow-automation"
      ],
      "created_date": "2026-06-06",
      "last_push_date": "2026-08-26",
      "url": "https://github.com/ScrapeCreators/social-media-research-skills",
      "homepage": "https://scrapecreators.com",
      "agents": [
        "claude-code",
        "codex",
        "cursor",
        "gemini"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "research workflow",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 171,
      "open_issues": 9,
      "watchers": 6141,
      "size_kb": 41,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 13,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 27,
      "repo": "SamuelSchmidgall/AgentLaboratory",
      "stars": 5929,
      "star_delta_1d": 1,
      "star_delta_7d": 13,
      "star_delta_30d": 13,
      "trend_score": 45.78,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas",
      "language": "Python",
      "topics": [],
      "created_date": "2025-01-08",
      "last_push_date": "2025-08-20",
      "url": "https://github.com/SamuelSchmidgall/AgentLaboratory",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "literature review",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "research paper",
        "research papers",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 806,
      "open_issues": 75,
      "watchers": 5929,
      "size_kb": 1424,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 28,
      "repo": "zLanqing/codex-claude-academic-skills",
      "stars": 5845,
      "star_delta_1d": 10,
      "star_delta_7d": 250,
      "star_delta_30d": 1102,
      "trend_score": 330.13,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-14",
      "last_push_date": "2026-05-14",
      "url": "https://github.com/zLanqing/codex-claude-academic-skills",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "research",
        "scientific",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 308,
      "open_issues": 3,
      "watchers": 5845,
      "size_kb": 2674,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 24,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 29,
      "repo": "Adkid-Zephyr/anti-defensive-writing-Skill",
      "stars": 5667,
      "star_delta_1d": 40,
      "star_delta_7d": 870,
      "star_delta_30d": 3032,
      "trend_score": 1096.9,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "极致轻量｜阻止论文的防御性写作 | Anti-defensive writing for academic papers — 学术写作原则 Skill + prompt pack (CN/EN)",
      "language": "Python",
      "topics": [
        "academic-writing",
        "ai-writing",
        "claude-skill",
        "paper-writing",
        "prompt"
      ],
      "created_date": "2026-08-11",
      "last_push_date": "2026-10-27",
      "url": "https://github.com/Adkid-Zephyr/anti-defensive-writing-Skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "papers",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 131,
      "open_issues": 4,
      "watchers": 5667,
      "size_kb": 41,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 30,
      "repo": "tuna/thuthesis",
      "stars": 5487,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 45.67,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "LaTeX Thesis Template for Tsinghua University",
      "language": "TeX",
      "topics": [
        "ctan",
        "latex",
        "latex-thesis-template",
        "tex",
        "thuthesis",
        "tsinghua",
        "tsinghua-university"
      ],
      "created_date": "2011-09-12",
      "last_push_date": "2026-08-18",
      "url": "https://github.com/tuna/thuthesis",
      "homepage": "https://www.ctan.org/pkg/thuthesis",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "research paper",
        "research papers",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 1168,
      "open_issues": 10,
      "watchers": 5487,
      "size_kb": 8626,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "lppl-1.3c",
        "name": "LaTeX Project Public License v1.3c",
        "spdx_id": "LPPL-1.3c"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-02",
      "first_seen_at": "2026-11-02T03:20:20Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 31,
      "repo": "brycewang-stanford/Auto-Empirical-Research-Skills",
      "stars": 4978,
      "star_delta_1d": 6,
      "star_delta_7d": 86,
      "star_delta_30d": 408,
      "trend_score": 152.58,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.",
      "language": "Stata",
      "topics": [
        "academic-research",
        "agent-skills",
        "ai-agent",
        "awesome-list",
        "communication",
        "copaper",
        "economics",
        "education",
        "empirical-research",
        "international-relations",
        "political-science",
        "psychology",
        "public-administration",
        "reproducible-research",
        "skills-library",
        "social-science",
        "sociology"
      ],
      "created_date": "2026-04-03",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
      "homepage": "https://copaper.ai",
      "agents": [],
      "precision_signals": [
        "academic",
        "agent skill",
        "paper",
        "research",
        "science",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 574,
      "open_issues": 0,
      "watchers": 4978,
      "size_kb": 46655,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1262,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 32,
      "repo": "MLNLP-World/Paper-Writing-Tips",
      "stars": 4705,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 45.36,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips",
      "language": "",
      "topics": [
        "mlnlp"
      ],
      "created_date": "2022-04-13",
      "last_push_date": "2026-09-26",
      "url": "https://github.com/MLNLP-World/Paper-Writing-Tips",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "paper writing",
        "readme_scope",
        "学术",
        "投稿",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 543,
      "open_issues": 5,
      "watchers": 4705,
      "size_kb": 31611,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 33,
      "repo": "CLUEbenchmark/CLUEDatasetSearch",
      "stars": 4457,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 29.19,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "搜索所有中文NLP数据集，附常用英文NLP数据集",
      "language": "Python",
      "topics": [
        "chinese",
        "corpus",
        "datasets",
        "knowledge-graph",
        "machine-reading-comprehension",
        "machine-translation",
        "match",
        "ner",
        "nlp",
        "qa",
        "sentiment-analysis",
        "text-classification",
        "text-similarity",
        "text-summarization"
      ],
      "created_date": "2020-02-21",
      "last_push_date": "2022-11-21",
      "url": "https://github.com/CLUEbenchmark/CLUEDatasetSearch",
      "homepage": "https://www.cluebenchmarks.com/dataSet_search.html",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 621,
      "open_issues": 11,
      "watchers": 4457,
      "size_kb": 9301,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T08:49:02Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 34,
      "repo": "dennybritz/deeplearning-papernotes",
      "stars": 4425,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 30.37,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Summaries and notes on Deep Learning research papers",
      "language": "",
      "topics": [],
      "created_date": "2015-12-19",
      "last_push_date": "2018-02-13",
      "url": "https://github.com/dennybritz/deeplearning-papernotes",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 891,
      "open_issues": 6,
      "watchers": 4425,
      "size_kb": 411,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 35,
      "repo": "wdcpclover/ai4paper",
      "stars": 4390,
      "star_delta_1d": 10,
      "star_delta_7d": 339,
      "star_delta_30d": 339,
      "trend_score": 455.91,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "PDF 全文翻译，保留排版双语对照 · 2.4 亿文献检索一键入库 · 文库知识库问答 · AI 精读论文、综述与思维导图 · 列表直显期刊分区 / 中科院 / JCR / 影响因子 · 免插件网页版 app.ai4paper.pro · 适配 Zotero 7–10",
      "language": "HTML",
      "topics": [
        "academic-writing",
        "ai-research",
        "literature-review",
        "paper-reading",
        "pdf-translation",
        "research-tools",
        "zotero",
        "zotero-plugin"
      ],
      "created_date": "2026-02-27",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/wdcpclover/ai4paper",
      "homepage": "https://ai4paper.pro",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "literature",
        "paper",
        "plugin",
        "readme_scope",
        "research",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 46,
      "open_issues": 6,
      "watchers": 4390,
      "size_kb": 338,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 36,
      "repo": "synthetic-sciences/openscience",
      "stars": 4363,
      "star_delta_1d": 4,
      "star_delta_7d": 35,
      "star_delta_30d": 35,
      "trend_score": 94.21,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "The open-source AI workbench for scientific research",
      "language": "TypeScript",
      "topics": [
        "agent",
        "ai",
        "ai-agent",
        "ai-scientist",
        "bioinformatics",
        "bun",
        "cli",
        "co-scientist",
        "llm",
        "ml",
        "ml-engineering",
        "open-source",
        "opensource",
        "research",
        "research-tools",
        "science",
        "scientific-computing"
      ],
      "created_date": "2026-07-03",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/synthetic-sciences/openscience",
      "homepage": "https://openscience.sh",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "science",
        "scientific",
        "scientific research",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 550,
      "open_issues": 13,
      "watchers": 4363,
      "size_kb": 82358,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 373,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 37,
      "repo": "esbatmop/MNBVC",
      "stars": 4300,
      "star_delta_1d": 1,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 49.1,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。",
      "language": "",
      "topics": [
        "chinese",
        "chinese-language",
        "chinese-nlp",
        "chinese-simplified",
        "corpus-data",
        "nlp",
        "nlp-machine-learning"
      ],
      "created_date": "2022-12-31",
      "last_push_date": "2026-10-25",
      "url": "https://github.com/esbatmop/MNBVC",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 298,
      "open_issues": 22,
      "watchers": 4300,
      "size_kb": 678,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 38,
      "repo": "hzwer/WritingAIPaper",
      "stars": 4170,
      "star_delta_1d": 0,
      "star_delta_7d": 24,
      "star_delta_30d": 24,
      "trend_score": 57.76,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Writing AI Conference Papers: A Handbook for Beginners",
      "language": "",
      "topics": [
        "ai",
        "paper",
        "writing"
      ],
      "created_date": "2024-09-13",
      "last_push_date": "2025-07-16",
      "url": "https://github.com/hzwer/WritingAIPaper",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "conference",
        "missing_skill_signal",
        "paper",
        "papers",
        "peer review",
        "readme_scope",
        "research paper"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 153,
      "open_issues": 0,
      "watchers": 4170,
      "size_kb": 388,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 39,
      "repo": "km1994/nlp_paper_study",
      "stars": 4034,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 42.17,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记",
      "language": "C++",
      "topics": [
        "attention",
        "bert",
        "entity-recognition",
        "gcn",
        "relation-extraction"
      ],
      "created_date": "2019-05-18",
      "last_push_date": "2026-10-11",
      "url": "https://github.com/km1994/nlp_paper_study",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 637,
      "open_issues": 2,
      "watchers": 4034,
      "size_kb": 899270,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 40,
      "repo": "jmiao24/Paper2Agent",
      "stars": 3998,
      "star_delta_1d": 3,
      "star_delta_7d": 56,
      "star_delta_30d": 56,
      "trend_score": 104.08,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents.",
      "language": "Python",
      "topics": [],
      "created_date": "2025-09-09",
      "last_push_date": "2026-09-17",
      "url": "https://github.com/jmiao24/Paper2Agent",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 594,
      "open_issues": 5,
      "watchers": 3998,
      "size_kb": 6031,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 4,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 41,
      "repo": "AIScientists-Dev/academic-humanizer",
      "stars": 3955,
      "star_delta_1d": 23,
      "star_delta_7d": 711,
      "star_delta_30d": 1976,
      "trend_score": 884.45,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Strip AI-writing tells from papers and grant proposals (NSF/NIH), while keeping scholarly voice and tying claims to evidence. A skill for Claude Code, Codex, and MorphMind.",
      "language": "",
      "topics": [
        "academic-writing",
        "grant-writing",
        "llm",
        "nih",
        "nsf",
        "research",
        "scientific-writing",
        "writing-assistant"
      ],
      "created_date": "2026-06-20",
      "last_push_date": "2026-07-03",
      "url": "https://github.com/AIScientists-Dev/academic-humanizer",
      "homepage": "https://morphmind.ai",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "codex",
        "paper",
        "papers",
        "research",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 291,
      "open_issues": 5,
      "watchers": 3955,
      "size_kb": 293,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 42,
      "repo": "M-3LAB/awesome-industrial-anomaly-detection",
      "stars": 3858,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 48.72,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。",
      "language": "",
      "topics": [
        "anomaly-detection",
        "anomaly-segmentation",
        "computer-vision",
        "dataset",
        "deep-learning",
        "defect-detection",
        "industrial-image",
        "medical"
      ],
      "created_date": "2022-12-02",
      "last_push_date": "2026-11-05",
      "url": "https://github.com/M-3LAB/awesome-industrial-anomaly-detection",
      "homepage": "https://link.springer.com/content/pdf/10.1007/s11633-023-1459-z.pdf",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "manuscript",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 345,
      "open_issues": 1,
      "watchers": 3858,
      "size_kb": 6875,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-05",
      "first_seen_at": "2026-11-05T09:48:29Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 43,
      "repo": "guanyingc/latex_paper_writing_tips",
      "stars": 3847,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 37.08,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Tips for Writing a Research Paper using LaTeX",
      "language": "TeX",
      "topics": [
        "cvpr",
        "latex",
        "paper",
        "poster",
        "thesis-latex-template"
      ],
      "created_date": "2021-11-19",
      "last_push_date": "2023-05-04",
      "url": "https://github.com/guanyingc/latex_paper_writing_tips",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "latex",
        "missing_skill_signal",
        "paper",
        "paper writing",
        "phd",
        "readme_scope",
        "research",
        "research paper",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 409,
      "open_issues": 1,
      "watchers": 3847,
      "size_kb": 4128,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 44,
      "repo": "PaddlePaddle/awesome-DeepLearning",
      "stars": 3667,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 35.72,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI",
      "language": "Jupyter Notebook",
      "topics": [
        "bert",
        "classification",
        "cnn",
        "detection",
        "dqn",
        "dssm",
        "dynabert",
        "gan",
        "nlp",
        "pose",
        "recommender-system",
        "reinforcement-learning",
        "rnn",
        "sarsa",
        "segmentation",
        "tinybert",
        "transformer",
        "video"
      ],
      "created_date": "2019-12-11",
      "last_push_date": "2024-07-25",
      "url": "https://github.com/PaddlePaddle/awesome-DeepLearning",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 856,
      "open_issues": 444,
      "watchers": 3667,
      "size_kb": 501410,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": false,
      "repository_kind": "unknown",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 45,
      "repo": "zouzhekang/YJYpaper",
      "stars": 3630,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 28.48,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "一个用来记录武汉大学杨景媛论文问题的仓库",
      "language": "HTML",
      "topics": [],
      "created_date": "2025-07-29",
      "last_push_date": "2025-08-13",
      "url": "https://github.com/zouzhekang/YJYpaper",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "学术",
        "科研",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 216,
      "open_issues": 238,
      "watchers": 3630,
      "size_kb": 102205,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 46,
      "repo": "Norman-bury/research-writing-skill",
      "stars": 3617,
      "star_delta_1d": 2,
      "star_delta_7d": 42,
      "star_delta_30d": 223,
      "trend_score": 78.87,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "科研写作助手 (Research Writing Assistant)",
      "language": "Python",
      "topics": [],
      "created_date": "2026-03-04",
      "last_push_date": "2026-06-10",
      "url": "https://github.com/Norman-bury/research-writing-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "assistant",
        "research",
        "skill",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 234,
      "open_issues": 6,
      "watchers": 3617,
      "size_kb": 23724,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 20,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 47,
      "repo": "yilewang/llm-for-zotero",
      "stars": 3540,
      "star_delta_1d": 1,
      "star_delta_7d": 55,
      "star_delta_30d": 275,
      "trend_score": 114.36,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An open-source research agent system for your Zotero library.",
      "language": "TypeScript",
      "topics": [
        "academic-paper",
        "codex",
        "literature-analysis",
        "llm-agent",
        "mcp",
        "rag",
        "research-tool",
        "zotero",
        "zotero-plugin"
      ],
      "created_date": "2026-01-29",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/yilewang/llm-for-zotero",
      "homepage": "https://yilewang.github.io/llm-for-zotero",
      "agents": [
        "codex",
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "literature",
        "mcp",
        "paper",
        "plugin",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 221,
      "open_issues": 217,
      "watchers": 3540,
      "size_kb": 421924,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 48,
      "repo": "DSXiangLi/DecryptPrompt",
      "stars": 3451,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 47.98,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "总结Prompt&LLM论文，开源数据&模型，AIGC应用",
      "language": "",
      "topics": [
        "aigc",
        "chain-of-thought",
        "chatgpt",
        "demonstration",
        "few-shot-learning",
        "in-context-learning",
        "instruction-tuning",
        "llm",
        "llm-agent",
        "papers",
        "prompt",
        "prompt-engineering",
        "prompt-tuning",
        "zero-shot-learning"
      ],
      "created_date": "2023-02-10",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/DSXiangLi/DecryptPrompt",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 325,
      "open_issues": 1,
      "watchers": 3451,
      "size_kb": 3163585,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 49,
      "repo": "google-deepmind/science-skills",
      "stars": 3440,
      "star_delta_1d": 1,
      "star_delta_7d": 55,
      "star_delta_30d": 55,
      "trend_score": 110.32,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-13",
      "last_push_date": "2026-10-23",
      "url": "https://github.com/google-deepmind/science-skills",
      "homepage": "https://antigravity.google/use-cases/science",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "grounding",
        "literature search",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "science",
        "scientific",
        "scientific research",
        "skill",
        "skills",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 399,
      "open_issues": 1,
      "watchers": 3440,
      "size_kb": 2076,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 40,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-03",
      "first_seen_at": "2026-11-03T03:54:51Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 50,
      "repo": "secdr/research-method",
      "stars": 3423,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 42.68,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "论文写作与资料分享",
      "language": "",
      "topics": [
        "paper",
        "research",
        "sci"
      ],
      "created_date": "2015-07-14",
      "last_push_date": "2022-08-07",
      "url": "https://github.com/secdr/research-method",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "phd",
        "readme_scope",
        "research",
        "research paper",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 654,
      "open_issues": 2,
      "watchers": 3423,
      "size_kb": 220904,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 51,
      "repo": "blazickjp/arxiv-mcp-server",
      "stars": 3271,
      "star_delta_1d": 2,
      "star_delta_7d": 21,
      "star_delta_30d": 21,
      "trend_score": 66.01,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A local MCP server for agent literature work. Original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk. Search is optional.",
      "language": "Python",
      "topics": [
        "ai",
        "arxiv",
        "claude-ai",
        "gpt",
        "llm",
        "mcp-server",
        "model-context-protocol",
        "papers",
        "python",
        "research"
      ],
      "created_date": "2024-11-29",
      "last_push_date": "2026-10-08",
      "url": "https://github.com/blazickjp/arxiv-mcp-server",
      "homepage": "https://www.pulsemcp.com/servers/blazickjp-arxiv-mcp-server",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "literature",
        "mcp",
        "missing_strong_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 263,
      "open_issues": 7,
      "watchers": 3271,
      "size_kb": 1516,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T03:21:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 52,
      "repo": "EvoMap/AutoResearch",
      "stars": 3092,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 43.08,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI/ML research agents from idea to paper-ready evidence. An EvoMap open-source project.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-08-15",
      "last_push_date": "2026-09-16",
      "url": "https://github.com/EvoMap/AutoResearch",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "paper writing",
        "readme_scope",
        "research",
        "research workflow",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 278,
      "open_issues": 6,
      "watchers": 3092,
      "size_kb": 825,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 4,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 53,
      "repo": "Octoday-Hub/Embodied-AI",
      "stars": 3071,
      "star_delta_1d": 0,
      "star_delta_7d": 70,
      "star_delta_30d": 70,
      "trend_score": 130.75,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "「Octoday Hub 星期八具身智能生态社区」聚合论文、项目、课程、工具、数据集、招聘等资源，连接全球开发者、研究者与产业伙伴。",
      "language": "",
      "topics": [
        "awesome-list",
        "community",
        "embodied-ai",
        "jobs",
        "papers",
        "research",
        "robot",
        "robot-learning",
        "robotics",
        "tools"
      ],
      "created_date": "2026-05-10",
      "last_push_date": "2026-11-05",
      "url": "https://github.com/Octoday-Hub/Embodied-AI",
      "homepage": "https://github.com/Octoday-Hub/Embodied-Al",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 284,
      "open_issues": 3,
      "watchers": 3071,
      "size_kb": 68717,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 54,
      "repo": "dw-dengwei/daily-arXiv-ai-enhanced",
      "stars": 3047,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 43.5,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Automatically crawl arXiv papers daily and summarize them using AI. Illustrating them using GitHub Pages.",
      "language": "JavaScript",
      "topics": [
        "ai-tools",
        "arxiv",
        "llms",
        "read-papers",
        "research-tool"
      ],
      "created_date": "2025-03-20",
      "last_push_date": "2026-09-08",
      "url": "https://github.com/dw-dengwei/daily-arXiv-ai-enhanced",
      "homepage": "https://arxiv.dw-dengwei.cn",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "arxiv",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 1128,
      "open_issues": 21,
      "watchers": 3047,
      "size_kb": 231526,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-31",
      "first_seen_at": "2026-10-31T03:03:15Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 55,
      "repo": "openags/paper-search-mcp",
      "stars": 3045,
      "star_delta_1d": 3,
      "star_delta_7d": 66,
      "star_delta_30d": 262,
      "trend_score": 118.37,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.",
      "language": "Python",
      "topics": [
        "ai-scientist",
        "arxiv-papers",
        "mcp-server",
        "paper-search"
      ],
      "created_date": "2025-04-06",
      "last_push_date": "2026-10-02",
      "url": "https://github.com/openags/paper-search-mcp",
      "homepage": "",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "arxiv",
        "mcp",
        "paper",
        "papers",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 305,
      "open_issues": 20,
      "watchers": 3045,
      "size_kb": 1836,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 56,
      "repo": "OpenNSWM-Lab/FAROS",
      "stars": 3042,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 43.44,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.",
      "language": "Python",
      "topics": [
        "academic-research",
        "academic-writing",
        "agentic-workflow",
        "ai-for-science",
        "ai-scientist",
        "ai4science",
        "automated-research",
        "autonomous-research",
        "autoresearch",
        "llm-agents",
        "multi-agent",
        "paper-generation",
        "paper-writing",
        "research-agent",
        "research-automation",
        "research-orchestration",
        "research-workflow",
        "scientific-discovery",
        "scientific-workflow",
        "workflow-orchestration"
      ],
      "created_date": "2026-05-13",
      "last_push_date": "2026-10-21",
      "url": "https://github.com/OpenNSWM-Lab/FAROS",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "research",
        "review",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 388,
      "open_issues": 147,
      "watchers": 3042,
      "size_kb": 7679,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-08-30",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 57,
      "repo": "yb2460/harness-anything",
      "stars": 3034,
      "star_delta_1d": 9,
      "star_delta_7d": 205,
      "star_delta_30d": 792,
      "trend_score": 287.68,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Harness Anything - AI agent control hub: WPS, MS Office, Zotero, Photoshop, 47 CLI commands, 27 academic skills, SVG-to-PPTX",
      "language": "Python",
      "topics": [
        "ai-agent",
        "automation",
        "cli",
        "cli-anything",
        "com",
        "office",
        "python",
        "windows",
        "wps"
      ],
      "created_date": "2026-05-27",
      "last_push_date": "2026-10-09",
      "url": "https://github.com/yb2460/harness-anything",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 205,
      "open_issues": 27,
      "watchers": 3034,
      "size_kb": 14162,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 58,
      "repo": "huangwb8/ChineseResearchLaTeX",
      "stars": 3030,
      "star_delta_1d": 0,
      "star_delta_7d": 26,
      "star_delta_30d": 138,
      "trend_score": 78.87,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "中国科研常用LaTeX模板集",
      "language": "Python",
      "topics": [
        "ai",
        "claude-code",
        "codex-cli",
        "funding",
        "graduate",
        "latex-template",
        "research",
        "researchpapers",
        "vibe-codng"
      ],
      "created_date": "2024-02-12",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/huangwb8/ChineseResearchLaTeX",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "codex",
        "latex",
        "paper",
        "papers",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 282,
      "open_issues": 0,
      "watchers": 3030,
      "size_kb": 259495,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 26,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 59,
      "repo": "weslynn/AlphaTree-graphic-deep-neural-network",
      "stars": 3027,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 42.75,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱",
      "language": "",
      "topics": [
        "deep-learning",
        "image-classification",
        "machine-learning",
        "neural-network"
      ],
      "created_date": "2018-03-06",
      "last_push_date": "2026-10-13",
      "url": "https://github.com/weslynn/AlphaTree-graphic-deep-neural-network",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 616,
      "open_issues": 7,
      "watchers": 3027,
      "size_kb": 94647,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 60,
      "repo": "LigphiDonk/academic-figure-generator",
      "stars": 2903,
      "star_delta_1d": 3,
      "star_delta_7d": 81,
      "star_delta_30d": 335,
      "trend_score": 124.9,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI 驱动的学术论文配图生成平台。上传论文 → AI 分析内容生成 Prompt → 一键生成高质量科研配图，还有配套的skill可在主流agent中使用",
      "language": "Python",
      "topics": [],
      "created_date": "2026-03-01",
      "last_push_date": "2026-03-27",
      "url": "https://github.com/LigphiDonk/academic-figure-generator",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "skill",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 140,
      "open_issues": 7,
      "watchers": 2903,
      "size_kb": 34606,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 61,
      "repo": "Haojae/scipilot-figure-skill",
      "stars": 2805,
      "star_delta_1d": 3,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 31.47,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "SciPilot Skills family - Publication-grade scientific figure copilot for Claude Code ",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-18",
      "last_push_date": "2026-06-15",
      "url": "https://github.com/Haojae/scipilot-figure-skill",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "claude code",
        "missing_high_confidence_academic_signal",
        "paper reading",
        "readme_scope",
        "scientific",
        "scientific plotting",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 100,
      "open_issues": 4,
      "watchers": 2805,
      "size_kb": 95,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-10",
      "first_seen_at": "2026-11-10T06:00:27Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 62,
      "repo": "wxyhgk/retain-pdf",
      "stars": 2712,
      "star_delta_1d": 2,
      "star_delta_7d": 32,
      "star_delta_30d": 32,
      "trend_score": 85.78,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "在保留版面、公式与结构的前提下进行 PDF 翻译，适用于科研与技术文档",
      "language": "Python",
      "topics": [
        "document-ai",
        "document-processing",
        "layout-preserving",
        "ocr",
        "pdf",
        "scientific-papers",
        "translation",
        "typst"
      ],
      "created_date": "2026-03-29",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/wxyhgk/retain-pdf",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "scientific",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 301,
      "open_issues": 19,
      "watchers": 2712,
      "size_kb": 407928,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 6,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 63,
      "repo": "HiLab-git/SSL4MIS",
      "stars": 2705,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 31.06,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.",
      "language": "Python",
      "topics": [
        "semi-supervised-learning"
      ],
      "created_date": "2020-09-25",
      "last_push_date": "2025-06-07",
      "url": "https://github.com/HiLab-git/SSL4MIS",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "literature",
        "literature review",
        "missing_skill_signal",
        "readme_scope",
        "review"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 422,
      "open_issues": 36,
      "watchers": 2705,
      "size_kb": 609,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 64,
      "repo": "Achuan-2/SlideSCI",
      "stars": 2677,
      "star_delta_1d": 1,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 53.27,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "PPT插件，支持素材库、AI助手、一键添加图片标题，复制粘贴位置、一键图片对齐、一键插入Markdown（加粗、超链接等行内样式、代码块、LaTeX等块级样式）、便捷导出图片！",
      "language": "C#",
      "topics": [],
      "created_date": "2025-01-09",
      "last_push_date": "2026-10-24",
      "url": "https://github.com/Achuan-2/SlideSCI",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 96,
      "open_issues": 2,
      "watchers": 2677,
      "size_kb": 32044,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 65,
      "repo": "HughYau/AcademicForge",
      "stars": 2637,
      "star_delta_1d": 0,
      "star_delta_7d": 14,
      "star_delta_30d": 47,
      "trend_score": 62.29,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "One Forge, All Skills: A curated skill collection for academic writing and research.  点开即用，按需配置的一站式学术研究skills平台。",
      "language": "Python",
      "topics": [
        "ai",
        "ai-for-research",
        "research-tool",
        "scientific-agents",
        "skills"
      ],
      "created_date": "2026-02-03",
      "last_push_date": "2026-11-01",
      "url": "https://github.com/HughYau/AcademicForge",
      "homepage": "http://hughyau.com/AcademicForge/",
      "agents": [],
      "precision_signals": [
        "academic",
        "research",
        "scientific",
        "skill",
        "skills",
        "学术"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 155,
      "open_issues": 2,
      "watchers": 2637,
      "size_kb": 1283,
      "default_branch": "site-first",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 33,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 66,
      "repo": "52CV/CVPR-2021-Papers",
      "stars": 2531,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 29.63,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "",
      "language": "",
      "topics": [],
      "created_date": "2021-03-03",
      "last_push_date": "2022-04-11",
      "url": "https://github.com/52CV/CVPR-2021-Papers",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 312,
      "open_issues": 0,
      "watchers": 2531,
      "size_kb": 2006,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 67,
      "repo": "Weizhena/Deep-Research-skills",
      "stars": 2524,
      "star_delta_1d": 2,
      "star_delta_7d": 51,
      "star_delta_30d": 195,
      "trend_score": 90.8,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control",
      "language": "Python",
      "topics": [
        "claude-code",
        "claude-code-skills",
        "deep-research-agent",
        "gpt-skills",
        "llm-agent",
        "opencode",
        "opencode-skills",
        "research"
      ],
      "created_date": "2025-12-29",
      "last_push_date": "2026-08-23",
      "url": "https://github.com/Weizhena/Deep-Research-skills",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex",
        "opencode"
      ],
      "precision_signals": [
        "claude code",
        "research",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 202,
      "open_issues": 2,
      "watchers": 2524,
      "size_kb": 6956,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 20,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 68,
      "repo": "hithesis/hithesis",
      "stars": 2478,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 52.06,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板",
      "language": "TeX",
      "topics": [
        "hithesis",
        "latex-package"
      ],
      "created_date": "2017-06-08",
      "last_push_date": "2026-11-05",
      "url": "https://github.com/hithesis/hithesis",
      "homepage": "https://hithesis.site/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 408,
      "open_issues": 27,
      "watchers": 2478,
      "size_kb": 182106,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 69,
      "repo": "llmsresearch/paperbanana",
      "stars": 2473,
      "star_delta_1d": 0,
      "star_delta_7d": 21,
      "star_delta_30d": 80,
      "trend_score": 60.4,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.",
      "language": "Python",
      "topics": [
        "academic-diagrams",
        "academic-research",
        "agentic-ai",
        "arxiv",
        "diagram-generation",
        "gemini",
        "google-gemini",
        "llm",
        "llms",
        "mcp",
        "mcp-server",
        "multiagent",
        "neurips",
        "paperbanana",
        "python-ai-research-tools",
        "research-automation",
        "research-tools",
        "scientific-visualization",
        "text-to-image",
        "vlm"
      ],
      "created_date": "2026-02-04",
      "last_push_date": "2026-09-17",
      "url": "https://github.com/llmsresearch/paperbanana",
      "homepage": "",
      "agents": [
        "gemini",
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "gemini",
        "mcp",
        "paper",
        "research",
        "scientific"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 344,
      "open_issues": 13,
      "watchers": 2473,
      "size_kb": 142600,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 70,
      "repo": "shengyp/doing_the_PhD",
      "stars": 2400,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 29.44,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "",
      "language": "",
      "topics": [],
      "created_date": "2020-07-27",
      "last_push_date": "2026-02-09",
      "url": "https://github.com/shengyp/doing_the_PhD",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "doi",
        "missing_skill_signal",
        "phd",
        "readme_scope",
        "学术",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 280,
      "open_issues": 1,
      "watchers": 2400,
      "size_kb": 79237,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 71,
      "repo": "zhaoyang97/Paper-Notes",
      "stars": 2367,
      "star_delta_1d": 4,
      "star_delta_7d": 44,
      "star_delta_30d": 44,
      "trend_score": 91.36,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "📚 数千篇 AI、LLM、NLP、CV 顶会论文解读，每篇 5 分钟读懂核心思想。",
      "language": "Python",
      "topics": [
        "acl",
        "acl2026",
        "ai",
        "cv",
        "cvpr",
        "cvpr2026",
        "iclr",
        "icml-2026",
        "llm",
        "neurips",
        "nlp",
        "paper",
        "paper-notes",
        "paper-reading"
      ],
      "created_date": "2026-03-18",
      "last_push_date": "2026-10-03",
      "url": "https://github.com/zhaoyang97/Paper-Notes",
      "homepage": "https://papernotes.org",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 101,
      "open_issues": 8,
      "watchers": 2367,
      "size_kb": 379475,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 72,
      "repo": "c-narcissus/paper-framework-figure-studio-pro",
      "stars": 2338,
      "star_delta_1d": 0,
      "star_delta_7d": 17,
      "star_delta_30d": 17,
      "trend_score": 47.35,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "A multi-round co-design skill for publication-ready paper framework diagrams and method overview figures.",
      "language": "",
      "topics": [],
      "created_date": "2026-04-23",
      "last_push_date": "2026-07-10",
      "url": "https://github.com/c-narcissus/paper-framework-figure-studio-pro",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "paper",
        "readme_scope",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 128,
      "open_issues": 9,
      "watchers": 2338,
      "size_kb": 597057,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T03:21:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 73,
      "repo": "bohyy/academic-ai-prompt",
      "stars": 2330,
      "star_delta_1d": 4,
      "star_delta_7d": 52,
      "star_delta_30d": 253,
      "trend_score": 93.99,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "一套为研究生和学术研究者设计的完整AI Prompt库  📖 包含内容： ✨ 40+ 精心设计的AI Prompt ✨ 论文选题系统方法（生成、评估、论证） ✨ 论文查找快速方案（8个不同方案） ✨ 文献综述框架和工具 ✨ Excel自动评估表格 ✨ 3个完整的论证模板  🚀 核心优势： ⚡ 节省时间 50-70%（选题3-5天而不是2-3周） 🎯 科学方法（基于系统的5维度评估体系） 💡 即插即用（所有Prompt直接复制可用） 📚 全流程覆盖（从选题到出版的完整方案）  🎓 适用人群： 👨‍🎓 硕士研究生 | 博士研究生 | 本科毕业设计 | 学术研究者 | 内容创作者  ",
      "language": "",
      "topics": [
        "academic-research",
        "ai",
        "ai-prompts",
        "ailearning",
        "knowledge-base",
        "open-source",
        "paper-writing",
        "productivity",
        "prompt-engineering",
        "research-tools",
        "research-workflows"
      ],
      "created_date": "2026-02-12",
      "last_push_date": "2026-09-02",
      "url": "https://github.com/bohyy/academic-ai-prompt",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "research",
        "workflow",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 142,
      "open_issues": 0,
      "watchers": 2330,
      "size_kb": 1732,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-03",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 74,
      "repo": "Future-Scholars/paperlib",
      "stars": 2324,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 41.33,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An open-source academic paper management tool.",
      "language": "TypeScript",
      "topics": [
        "academic",
        "academic-paper",
        "computer-science",
        "computer-vision",
        "management",
        "math",
        "neural-language-processing",
        "paper-management",
        "references",
        "science"
      ],
      "created_date": "2021-01-11",
      "last_push_date": "2026-04-01",
      "url": "https://github.com/Future-Scholars/paperlib",
      "homepage": "https://paperlib.app",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_skill_signal",
        "paper",
        "paper writing",
        "phd",
        "readme_scope",
        "scholar",
        "science"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 117,
      "open_issues": 35,
      "watchers": 2324,
      "size_kb": 79168,
      "default_branch": "chore/official-sync",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 75,
      "repo": "AmberLJC/LLMSys-PaperList",
      "stars": 2321,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 50.71,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Large Language Model (LLM) Systems Paper List",
      "language": "Python",
      "topics": [],
      "created_date": "2023-06-06",
      "last_push_date": "2026-10-20",
      "url": "https://github.com/AmberLJC/LLMSys-PaperList",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 126,
      "open_issues": 2,
      "watchers": 2321,
      "size_kb": 9103,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 76,
      "repo": "poco-ai/Agentero",
      "stars": 2271,
      "star_delta_1d": 50,
      "star_delta_7d": 1198,
      "star_delta_30d": 1198,
      "trend_score": 1488.04,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Unified research workspace for humans & agents — PDF Q&A with citations, Vault, writing. 为人与 Agent 协作的科研工作台；补齐 Zotero 时代的人机上下文断点。",
      "language": "TypeScript",
      "topics": [
        "academic",
        "ai-agents",
        "citations",
        "desktop-app",
        "dsh-plugin",
        "knowledge-base",
        "literature-review",
        "llm",
        "mcp",
        "pdf",
        "rag",
        "research",
        "research-assistant",
        "tauri",
        "typescript",
        "writing-assistant"
      ],
      "created_date": "2026-07-07",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/poco-ai/Agentero",
      "homepage": "https://agentero.app",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "literature",
        "mcp",
        "plugin",
        "readme_scope",
        "research",
        "review",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 135,
      "open_issues": 43,
      "watchers": 2271,
      "size_kb": 46480,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 13,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 77,
      "repo": "tsingyuai/scientify",
      "stars": 2252,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 36.45,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Automatic and end-to-end scientific research workflow. Produces state-of-the-art level research results.",
      "language": "TypeScript",
      "topics": [],
      "created_date": "2026-02-04",
      "last_push_date": "2026-09-08",
      "url": "https://github.com/tsingyuai/scientify",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "research",
        "scientific",
        "workflow",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 191,
      "open_issues": 6,
      "watchers": 2252,
      "size_kb": 2981,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 18,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 78,
      "repo": "chi111i/BypassAIGC",
      "stars": 2231,
      "star_delta_1d": 1,
      "star_delta_7d": 15,
      "star_delta_30d": 15,
      "trend_score": 48.33,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "论文润色，AIGC 降重工具(gptzero等检测网站)",
      "language": "Python",
      "topics": [],
      "created_date": "2025-11-02",
      "last_push_date": "2026-08-28",
      "url": "https://github.com/chi111i/BypassAIGC",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 263,
      "open_issues": 10,
      "watchers": 2231,
      "size_kb": 27321,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 79,
      "repo": "ustctug/ustcthesis",
      "stars": 2136,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 46.2,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "LaTeX template for USTC thesis",
      "language": "TeX",
      "topics": [
        "latex",
        "latex-template",
        "thesis-template",
        "ustc"
      ],
      "created_date": "2015-07-07",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/ustctug/ustcthesis",
      "homepage": "https://gradschool.ustc.edu.cn/column/190",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 452,
      "open_issues": 1,
      "watchers": 2136,
      "size_kb": 5522,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "lppl-1.3c",
        "name": "LaTeX Project Public License v1.3c",
        "spdx_id": "LPPL-1.3c"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 80,
      "repo": "aipoch/medical-research-skills",
      "stars": 2037,
      "star_delta_1d": 1,
      "star_delta_7d": 10,
      "star_delta_30d": 99,
      "trend_score": 46.43,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.",
      "language": "Python",
      "topics": [
        "ai",
        "bioinformatics",
        "biology",
        "cancer-genomics",
        "computational-biology",
        "data-analysis",
        "data-visualization",
        "differential-expression",
        "genomics",
        "medical",
        "medical-research",
        "science",
        "single-cell"
      ],
      "created_date": "2026-02-04",
      "last_push_date": "2026-09-17",
      "url": "https://github.com/aipoch/medical-research-skills",
      "homepage": "https://aipoch.com/agent-skills",
      "agents": [],
      "precision_signals": [
        "academic",
        "agent skill",
        "research",
        "science",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 201,
      "open_issues": 11,
      "watchers": 2037,
      "size_kb": 260457,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 605,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 81,
      "repo": "chenking2020/FindTheChatGPTer",
      "stars": 2006,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 26.42,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "ChatGPT爆火，开启了通往AGI的关键一步，本项目旨在汇总那些ChatGPT的开源平替们，包括文本大模型、多模态大模型等，为大家提供一些便利",
      "language": "",
      "topics": [
        "agi",
        "alpaca",
        "autogpt",
        "baichuan",
        "belle",
        "ceval",
        "chatglm",
        "chatgpt",
        "codi",
        "guanaco",
        "learderboard",
        "linly",
        "llama",
        "llama2",
        "llava",
        "lora",
        "minigpt4",
        "self-instruct",
        "vicuna",
        "wizadlm"
      ],
      "created_date": "2023-04-07",
      "last_push_date": "2023-08-14",
      "url": "https://github.com/chenking2020/FindTheChatGPTer",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "科研",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 190,
      "open_issues": 8,
      "watchers": 2006,
      "size_kb": 5244,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T08:49:02Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 82,
      "repo": "XiaoMaColtAI/math-modeling-skill",
      "stars": 1917,
      "star_delta_1d": 0,
      "star_delta_7d": 22,
      "star_delta_30d": 58,
      "trend_score": 72.57,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "数学建模技能 - 面向 CUMCM、MCM/ICM 等数学建模竞赛的三阶段工作流：建模分析、Python/MATLAB 编程与 DOCX 论文生成。包含丰富的算法资源库(优化/预测/评价/图论/机器学习等)、角色指导文档、论文模板和实用工具脚本",
      "language": "Python",
      "topics": [
        "claude-code",
        "claude-skills",
        "codex",
        "codex-skill",
        "cumcm",
        "deepseek-harness",
        "math-modeling",
        "mcm-icm",
        "skills",
        "vibe-coding"
      ],
      "created_date": "2026-01-24",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/XiaoMaColtAI/math-modeling-skill",
      "homepage": "https://mms.weseeworld.cn",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "codex",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 103,
      "open_issues": 4,
      "watchers": 1917,
      "size_kb": 69795,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 20,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-05",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 83,
      "repo": "VoltAgent/awesome-ai-agent-papers",
      "stars": 1896,
      "star_delta_1d": 0,
      "star_delta_7d": 13,
      "star_delta_30d": 59,
      "trend_score": 60.02,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.",
      "language": "",
      "topics": [
        "ai-agents",
        "awesome",
        "awesome-list",
        "llm",
        "llm-agents",
        "memory",
        "rag",
        "research-paper"
      ],
      "created_date": "2026-02-10",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/VoltAgent/awesome-ai-agent-papers",
      "homepage": "https://starterkit.getdesign.md/",
      "agents": [],
      "precision_signals": [
        "paper",
        "papers",
        "research",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 202,
      "open_issues": 4,
      "watchers": 1896,
      "size_kb": 876,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 84,
      "repo": "HuangOwen/Awesome-LLM-Compression",
      "stars": 1895,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 49.07,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Awesome LLM compression research papers and tools.",
      "language": "",
      "topics": [],
      "created_date": "2023-05-30",
      "last_push_date": "2026-10-27",
      "url": "https://github.com/HuangOwen/Awesome-LLM-Compression",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 146,
      "open_issues": 0,
      "watchers": 1895,
      "size_kb": 1390,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 85,
      "repo": "steven-jianhao-li/zotero-AI-Butler",
      "stars": 1873,
      "star_delta_1d": 1,
      "star_delta_7d": 16,
      "star_delta_30d": 16,
      "trend_score": 65.36,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "【Zotero AI 管家】调用大模型，自动精读论文库里的论文，总结为Zotero笔记。支持主流大模型平台！您只需像往常一样把文献丢进 Zotero， 管家会自动帮您精读论文，将文章揉碎了总结为笔记，让您“十分钟完全了解”这篇论文！",
      "language": "TypeScript",
      "topics": [
        "academic-tools",
        "ai",
        "ai-butler",
        "artificial-intelligence",
        "butler",
        "knowledge-management",
        "llm",
        "markdown",
        "paper-reading",
        "pdf-analysis",
        "plugin",
        "productivity",
        "research-assistant",
        "workflow",
        "zotero",
        "zotero-plugin"
      ],
      "created_date": "2025-10-29",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/steven-jianhao-li/zotero-AI-Butler",
      "homepage": "https://github.com/steven-jianhao-li/zotero-AI-Butler/releases",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "assistant",
        "paper",
        "plugin",
        "readme_scope",
        "research",
        "workflow",
        "学术",
        "文献阅读",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 107,
      "open_issues": 6,
      "watchers": 1873,
      "size_kb": 35724,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 86,
      "repo": "delibae/claude-prism",
      "stars": 1848,
      "star_delta_1d": 0,
      "star_delta_7d": 9,
      "star_delta_30d": 38,
      "trend_score": 40.49,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An offline-first scientific writing workspace powered by Claude. LaTeX + Python + 100+ scientific skills all running locally.",
      "language": "TypeScript",
      "topics": [
        "academic",
        "ai",
        "claude",
        "claude-code",
        "desktop-app",
        "editor",
        "latex",
        "llm",
        "offline",
        "open-source",
        "privacy",
        "python",
        "research",
        "rust",
        "scientific-writing",
        "tauri",
        "tectonic",
        "zotero"
      ],
      "created_date": "2026-02-20",
      "last_push_date": "2026-08-28",
      "url": "https://github.com/delibae/claude-prism",
      "homepage": "https://claudeprism.delibae.dev",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "latex",
        "research",
        "scientific",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 179,
      "open_issues": 38,
      "watchers": 1848,
      "size_kb": 15661,
      "default_branch": "chore/bump-1.1.6",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 87,
      "repo": "Kiterlin/anti-defensive-writing",
      "stars": 1821,
      "star_delta_1d": 10,
      "star_delta_7d": 199,
      "star_delta_30d": 199,
      "trend_score": 282.23,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Codex skill for removing defensive writing and strengthening prose.",
      "language": "PowerShell",
      "topics": [
        "academic-writing",
        "agent-skill",
        "codex",
        "codex-skill",
        "editing",
        "writing"
      ],
      "created_date": "2026-06-23",
      "last_push_date": "2026-10-17",
      "url": "https://github.com/Kiterlin/anti-defensive-writing",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 56,
      "open_issues": 4,
      "watchers": 1821,
      "size_kb": 8824,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-20",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 88,
      "repo": "juliye2025/evil-read-arxiv",
      "stars": 1799,
      "star_delta_1d": 2,
      "star_delta_7d": 20,
      "star_delta_30d": 93,
      "trend_score": 57.54,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Claude Code+Obsidian，邪修读论文就是快",
      "language": "Python",
      "topics": [],
      "created_date": "2026-03-03",
      "last_push_date": "2026-09-15",
      "url": "https://github.com/juliye2025/evil-read-arxiv",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "arxiv",
        "claude code",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 174,
      "open_issues": 14,
      "watchers": 1799,
      "size_kb": 255,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 5,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 89,
      "repo": "mims-harvard/ToolUniverse",
      "stars": 1780,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 54,
      "trend_score": 54.4,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Democratizing AI scientists with ToolUniverse",
      "language": "Python",
      "topics": [
        "agents",
        "ai-agents",
        "ai-communication",
        "ai-for-science",
        "ai-scientists",
        "automated-science",
        "autonomous-agents",
        "co-pilot",
        "co-scientist",
        "llms",
        "lrm",
        "mcp-servers",
        "reasoning-agent",
        "reasoning-language-models",
        "scientific-skill",
        "tool-use"
      ],
      "created_date": "2025-03-03",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/mims-harvard/ToolUniverse",
      "homepage": "https://aiscientist.tools",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "mcp",
        "reasoning",
        "science",
        "scientific",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 274,
      "open_issues": 15,
      "watchers": 1780,
      "size_kb": 78558,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 556,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 90,
      "repo": "14790897/paper-ai",
      "stars": 1756,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 44.77,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "搜索真实文献并生成引用对应文献的AI论文",
      "language": "TypeScript",
      "topics": [
        "ai",
        "paper"
      ],
      "created_date": "2024-01-18",
      "last_push_date": "2026-11-05",
      "url": "https://github.com/14790897/paper-ai",
      "homepage": "https://paperai.sixiangjia.de",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "引用",
        "文献",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 184,
      "open_issues": 10,
      "watchers": 1756,
      "size_kb": 15657,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-05",
      "first_seen_at": "2026-11-05T09:48:29Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 91,
      "repo": "zwang4/awesome-machine-learning-in-compilers",
      "stars": 1707,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 30.15,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation",
      "language": "",
      "topics": [
        "artificial-intelligence",
        "auto-tuning",
        "compiler",
        "machine-learning",
        "multi-cores",
        "operating-systems",
        "optimisation",
        "parallel-computing",
        "parallel-programming",
        "parallelisation",
        "parallelism"
      ],
      "created_date": "2020-06-17",
      "last_push_date": "2026-08-26",
      "url": "https://github.com/zwang4/awesome-machine-learning-in-compilers",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 181,
      "open_issues": 0,
      "watchers": 1707,
      "size_kb": 594,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "cc0-1.0",
        "name": "Creative Commons Zero v1.0 Universal",
        "spdx_id": "CC0-1.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 92,
      "repo": "pedrohcgs/claude-code-my-workflow",
      "stars": 1692,
      "star_delta_1d": 3,
      "star_delta_7d": 13,
      "star_delta_30d": 33,
      "trend_score": 60.87,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A ready-to-fork Claude Code template for academic research — papers, data analysis (R, Stata, Python), slides and teaching — with multi-agent review, enforced quality gates and replication protocols. Codex and Antigravity can use it too.",
      "language": "HTML",
      "topics": [
        "academic-writing",
        "agent-skills",
        "causal-inference",
        "claude-code",
        "claude-code-skills",
        "codex",
        "econometrics",
        "economics",
        "latex",
        "quarto",
        "reproducible-research",
        "research-workflow",
        "stata"
      ],
      "created_date": "2026-02-06",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/pedrohcgs/claude-code-my-workflow",
      "homepage": "https://psantanna.com/claude-code-my-workflow/",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "papers",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 3149,
      "open_issues": 1,
      "watchers": 1692,
      "size_kb": 9981,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 105,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 93,
      "repo": "bytedance/pasa",
      "stars": 1675,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 25.79,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive and accurate results for complex scholarly queries.",
      "language": "Python",
      "topics": [
        "research"
      ],
      "created_date": "2024-12-23",
      "last_push_date": "2025-05-27",
      "url": "https://github.com/bytedance/pasa",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "paper reading",
        "papers",
        "readme_scope",
        "research",
        "scholar"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 126,
      "open_issues": 27,
      "watchers": 1675,
      "size_kb": 1520,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T03:21:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 94,
      "repo": "chenryn/aiops-handbook",
      "stars": 1575,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 25.58,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Collection of slides, repositories, papers about AIOps",
      "language": "",
      "topics": [
        "aiops",
        "anomalydetection",
        "kpi"
      ],
      "created_date": "2018-08-06",
      "last_push_date": "2026-03-17",
      "url": "https://github.com/chenryn/aiops-handbook",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 299,
      "open_issues": 0,
      "watchers": 1575,
      "size_kb": 364,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T08:49:02Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 95,
      "repo": "PaperDebugger/paperdebugger",
      "stars": 1554,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 8,
      "trend_score": 25.53,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing",
      "language": "TypeScript",
      "topics": [
        "agent",
        "agentic-ai",
        "ai-agent",
        "ai-agents-framework",
        "chatgpt",
        "latex",
        "latex-copilot",
        "mcp",
        "mcp-client",
        "mcp-server",
        "openai",
        "overleaf",
        "overleaf-copilot",
        "paperdebugger"
      ],
      "created_date": "2025-04-12",
      "last_push_date": "2026-07-03",
      "url": "https://github.com/PaperDebugger/paperdebugger",
      "homepage": "https://www.paperdebugger.com/",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "copilot",
        "latex",
        "mcp",
        "paper",
        "plugin",
        "review"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 75,
      "open_issues": 16,
      "watchers": 1554,
      "size_kb": 11171,
      "default_branch": "chore/pd-agentic",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 96,
      "repo": "lishix520/academic-paper-skills",
      "stars": 1474,
      "star_delta_1d": 1,
      "star_delta_7d": 15,
      "star_delta_30d": 97,
      "trend_score": 43.35,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Systematic framework for planning and writing academic papers using Claude Code. Includes strategist (planning) and composer (writing) skills with quality checkpoints.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "claude-code",
        "philosophy",
        "preprint",
        "research-tools"
      ],
      "created_date": "2026-01-04",
      "last_push_date": "2026-01-04",
      "url": "https://github.com/lishix520/academic-paper-skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "papers",
        "research",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 157,
      "open_issues": 1,
      "watchers": 1474,
      "size_kb": 64,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 97,
      "repo": "zsyggg/paper-craft-skills",
      "stars": 1466,
      "star_delta_1d": 2,
      "star_delta_7d": 32,
      "star_delta_30d": 156,
      "trend_score": 63.73,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Claude Code skills for academic papers: deep analysis, comics, summaries | 论文工艺：深度解读、漫画生成、速览总结",
      "language": "Python",
      "topics": [
        "academic",
        "ai-tools",
        "arxiv",
        "claude-code",
        "paper-reading",
        "pdf-analysis",
        "research",
        "skills"
      ],
      "created_date": "2026-01-23",
      "last_push_date": "2026-05-29",
      "url": "https://github.com/zsyggg/paper-craft-skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "papers",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 92,
      "open_issues": 5,
      "watchers": 1466,
      "size_kb": 49743,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 98,
      "repo": "brycewang-stanford/Awesome-Journal-Skills",
      "stars": 1397,
      "star_delta_1d": 1,
      "star_delta_7d": 41,
      "star_delta_30d": 162,
      "trend_score": 85.29,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。",
      "language": "Stata",
      "topics": [
        "academic-research",
        "academic-writing",
        "agent-skills",
        "ai-agents",
        "anthropic",
        "awesome-list",
        "causal-inference",
        "claude",
        "claude-code",
        "econometrics",
        "economics",
        "empirical-research",
        "finance",
        "journal",
        "llm",
        "mcp",
        "peer-review",
        "replication",
        "research-tools",
        "scholarly-publishing"
      ],
      "created_date": "2026-05-25",
      "last_push_date": "2026-09-27",
      "url": "https://github.com/brycewang-stanford/Awesome-Journal-Skills",
      "homepage": "https://www.copaper.ai",
      "agents": [
        "claude-code",
        "codex",
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "journal",
        "research",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 175,
      "open_issues": 2,
      "watchers": 1397,
      "size_kb": 114035,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 4166,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 99,
      "repo": "tmgthb/Autonomous-Agents",
      "stars": 1388,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 27.54,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Autonomous Agents (LLMs) research papers. Updated Daily.",
      "language": "",
      "topics": [
        "agent",
        "agent-context",
        "agent-harness",
        "agentic",
        "agentic-ai",
        "agents",
        "ai",
        "ai-agents",
        "aiagent",
        "aiagents",
        "autonomous-agents",
        "cognitive-agents",
        "computer-use-agent",
        "embodied-agent",
        "generalist-agent",
        "language-agent",
        "llm",
        "llm-agents",
        "llmagents",
        "research-paper"
      ],
      "created_date": "2023-09-16",
      "last_push_date": "2026-06-24",
      "url": "https://github.com/tmgthb/Autonomous-Agents",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 102,
      "open_issues": 2,
      "watchers": 1388,
      "size_kb": 31988,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 100,
      "repo": "xunbu/docutranslate",
      "stars": 1368,
      "star_delta_1d": 0,
      "star_delta_7d": 13,
      "star_delta_30d": 13,
      "trend_score": 58.75,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "文档（小说、论文、字幕）翻译工具（支持 pdf/word/excel/json/epub/srt...）Document (Novel, Thesis, Subtitle) Translation Tool (Supports pdf/word/excel/json/epub/srt...)",
      "language": "Python",
      "topics": [
        "file-transla",
        "llm",
        "pdf-converter",
        "pdf-translator",
        "translate"
      ],
      "created_date": "2025-05-08",
      "last_push_date": "2026-11-01",
      "url": "https://github.com/xunbu/docutranslate",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 186,
      "open_issues": 26,
      "watchers": 1368,
      "size_kb": 16755,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mpl-2.0",
        "name": "Mozilla Public License 2.0",
        "spdx_id": "MPL-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 101,
      "repo": "huangkiki/dailypaper-skills",
      "stars": 1347,
      "star_delta_1d": 1,
      "star_delta_7d": 16,
      "star_delta_30d": 62,
      "trend_score": 62.43,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Agent skills for daily paper discovery, critical reviews, and connected research notes. Supports English and Chinese.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-26",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/huangkiki/dailypaper-skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "missing_high_confidence_academic_signal",
        "paper",
        "readme_scope",
        "research",
        "review",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 105,
      "open_issues": 8,
      "watchers": 1347,
      "size_kb": 864,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 7,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 102,
      "repo": "xianshang33/llm-paper-daily",
      "stars": 1341,
      "star_delta_1d": 1,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 46.21,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Daily updated LLM papers.        每日更新 LLM 相关的论文，欢迎订阅 👏   喜欢的话动动你的小手 🌟 一个",
      "language": "Python",
      "topics": [
        "agent",
        "chatgpt",
        "large-language-models",
        "llm",
        "rag"
      ],
      "created_date": "2023-11-27",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/xianshang33/llm-paper-daily",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 60,
      "open_issues": 7,
      "watchers": 1341,
      "size_kb": 8258,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 103,
      "repo": "handsome-rich/Awesome-Auto-Research-Tools",
      "stars": 1284,
      "star_delta_1d": 0,
      "star_delta_7d": 18,
      "star_delta_30d": 18,
      "trend_score": 66.34,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "A curated collection of automated research tools, covering literature search, paper reading, experiment management, and code generation to help researchers accelerate their workflow.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-03-16",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/handsome-rich/Awesome-Auto-Research-Tools",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "experiment",
        "literature",
        "missing_high_confidence_academic_signal",
        "paper",
        "paper review",
        "paper writing",
        "readme_scope",
        "research",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 96,
      "open_issues": 15,
      "watchers": 1284,
      "size_kb": 18322,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "cc0-1.0",
        "name": "Creative Commons Zero v1.0 Universal",
        "spdx_id": "CC0-1.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 104,
      "repo": "AgenticHealthAI/Awesome-AI-Agents-for-Healthcare",
      "stars": 1283,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 37.45,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Latest Advances on Agentic AI & AI Agents for Healthcare",
      "language": "",
      "topics": [
        "agentic-ai",
        "ai-agents",
        "healthcare-agents",
        "medical-agents"
      ],
      "created_date": "2025-10-17",
      "last_push_date": "2026-10-02",
      "url": "https://github.com/AgenticHealthAI/Awesome-AI-Agents-for-Healthcare",
      "homepage": "https://www.techrxiv.org/users/994756/articles/1355990-a-comprehensive-survey-of-ai-agents-in-healthcare",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 170,
      "open_issues": 14,
      "watchers": 1283,
      "size_kb": 2706,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 105,
      "repo": "cookjohn/zotero-mcp",
      "stars": 1274,
      "star_delta_1d": 1,
      "star_delta_7d": 15,
      "star_delta_30d": 15,
      "trend_score": 62.43,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "It's a plugin extension in Zotero.  Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP. Zotero MCP Plugin 是一个 Zotero 插件，通过 MCP协议实现 AI 助手与 Zotero深度集成。插件支持文献检索、元   数据管理、全文分析和智能问答等功能，让 Claude、ChatGPT 等 AI 工具能够直接访问和操作您的文献库。",
      "language": "TypeScript",
      "topics": [
        "literature-review",
        "mcp-server",
        "zotero"
      ],
      "created_date": "2025-08-14",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/cookjohn/zotero-mcp",
      "homepage": "",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "literature",
        "literature review",
        "literature search",
        "mcp",
        "plugin",
        "readme_scope",
        "review",
        "文献"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 103,
      "open_issues": 19,
      "watchers": 1274,
      "size_kb": 10137,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 106,
      "repo": "Spark-To-Paper-Skills/paperjury",
      "stars": 1217,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 26.37,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.",
      "language": "JavaScript",
      "topics": [
        "academic-writing",
        "ai-agents",
        "claude-code",
        "latex",
        "llm-agents",
        "paper-review",
        "peer-review",
        "research-tool"
      ],
      "created_date": "2026-06-02",
      "last_push_date": "2026-08-14",
      "url": "https://github.com/Spark-To-Paper-Skills/paperjury",
      "homepage": "https://spark-to-paper-skills.github.io/paperjury/",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "papers",
        "research",
        "skill",
        "skills"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 46,
      "open_issues": 1,
      "watchers": 1217,
      "size_kb": 13803,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 107,
      "repo": "199-biotechnologies/claude-deep-research-skill",
      "stars": 1213,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 35,
      "trend_score": 34.27,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and automated validation. Outperforms OpenAI, Gemini, and Claude Desktop in quality and verification.",
      "language": "Python",
      "topics": [],
      "created_date": "2025-11-04",
      "last_push_date": "2026-04-11",
      "url": "https://github.com/199-biotechnologies/claude-deep-research-skill",
      "homepage": "",
      "agents": [
        "claude-code",
        "gemini"
      ],
      "precision_signals": [
        "claude code",
        "pipeline",
        "research",
        "skill",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 131,
      "open_issues": 9,
      "watchers": 1213,
      "size_kb": 143,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 108,
      "repo": "yzy1996/English-Writing",
      "stars": 1200,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 25.84,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Enhance Your English Writing for Science Research 写论文英语素材",
      "language": "",
      "topics": [],
      "created_date": "2022-08-30",
      "last_push_date": "2026-04-17",
      "url": "https://github.com/yzy1996/English-Writing",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper writing",
        "readme_scope",
        "research",
        "science",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 108,
      "open_issues": 2,
      "watchers": 1200,
      "size_kb": 321,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 109,
      "repo": "OpenLAIR/dr-claw",
      "stars": 1198,
      "star_delta_1d": 0,
      "star_delta_7d": 9,
      "star_delta_30d": 41,
      "trend_score": 54.6,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power. ",
      "language": "JavaScript",
      "topics": [
        "ai-agents",
        "ai-scientist",
        "auto-research",
        "claude-code",
        "claude-science-desktop-alternative",
        "claude-science-free",
        "literature-review",
        "paper-writing",
        "research-assistant"
      ],
      "created_date": "2026-02-26",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/OpenLAIR/dr-claw",
      "homepage": "https://openlair.github.io/dr-claw/",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "assistant",
        "literature",
        "paper",
        "research",
        "review",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 141,
      "open_issues": 21,
      "watchers": 1198,
      "size_kb": 112548,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 123,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 110,
      "repo": "BITNP/BIThesis",
      "stars": 1193,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 39.79,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "📖 北京理工大学非官方 LaTeX 模板集合，包含本科、研究生毕业设计模板及更多。🎉 （更多文档请访问 wiki 和 release 中的手册）",
      "language": "TeX",
      "topics": [
        "academic-affairs",
        "beijing-institute-of-technology",
        "bithesis-wiki",
        "graduation-thesis",
        "latex",
        "latex-templates",
        "online-video-tutorials",
        "thesis-latex-template",
        "xelatex"
      ],
      "created_date": "2020-01-12",
      "last_push_date": "2026-10-03",
      "url": "https://github.com/BITNP/BIThesis",
      "homepage": "https://bithesis.bitnp.net",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "文献综述",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 122,
      "open_issues": 11,
      "watchers": 1193,
      "size_kb": 58746,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "lppl-1.3c",
        "name": "LaTeX Project Public License v1.3c",
        "spdx_id": "LPPL-1.3c"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 111,
      "repo": "bishwaghimire/ai-learning-roadmaps",
      "stars": 1190,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 34.21,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.",
      "language": "",
      "topics": [
        "ai-for-beginners",
        "ai-learning",
        "ai-roadmap",
        "artificial-intelligence",
        "computer-vision",
        "data-science",
        "deep-learning",
        "llm",
        "machine-learning",
        "nlp",
        "rag",
        "roadmap"
      ],
      "created_date": "2025-12-29",
      "last_push_date": "2026-06-15",
      "url": "https://github.com/bishwaghimire/ai-learning-roadmaps",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper writing",
        "readme_scope",
        "research paper",
        "research papers",
        "science"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 136,
      "open_issues": 0,
      "watchers": 1190,
      "size_kb": 225617,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T03:21:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 112,
      "repo": "pengjunchi0/codex-visio-paper-figure-skill",
      "stars": 1174,
      "star_delta_1d": 1,
      "star_delta_7d": 33,
      "star_delta_30d": 161,
      "trend_score": 65.89,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "科研绘图skill、论文绘图skill、图片转visio等可编辑格式，将生成图转化为论文可编辑图，便于作者调整绘图细节",
      "language": "PowerShell",
      "topics": [
        "academic-figures",
        "codex",
        "editable-diagrams",
        "image-to-visio",
        "scientific-figures",
        "skills",
        "visio"
      ],
      "created_date": "2026-05-28",
      "last_push_date": "2026-08-16",
      "url": "https://github.com/pengjunchi0/codex-visio-paper-figure-skill",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "paper",
        "scientific",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 54,
      "open_issues": 3,
      "watchers": 1174,
      "size_kb": 90,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 113,
      "repo": "Oleafly/Oleafly",
      "stars": 1148,
      "star_delta_1d": 0,
      "star_delta_7d": 196,
      "star_delta_30d": 196,
      "trend_score": 283.11,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "LaTeX and Typst editor with live collaboration and AI agents. Open-source IDE and Overleaf alternative for Mac, Windows and Linux.",
      "language": "TypeScript",
      "topics": [
        "academic-writing",
        "ai",
        "desktop-app",
        "latex",
        "latex-editor",
        "latex-ide",
        "latex-template",
        "latex-tools",
        "local-first",
        "markdown",
        "open-source",
        "openai-prism",
        "overleaf-alternative",
        "research",
        "research-paper",
        "scientific-writing",
        "synctex",
        "typst",
        "typst-editor",
        "typst-ide"
      ],
      "created_date": "2026-07-05",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/Oleafly/Oleafly",
      "homepage": "https://oleafly.com",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature review",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "research",
        "research paper",
        "scientific"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 67,
      "open_issues": 29,
      "watchers": 1148,
      "size_kb": 225688,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 39,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 114,
      "repo": "Edwardxlai/easyread",
      "stars": 1140,
      "star_delta_1d": 1,
      "star_delta_7d": 54,
      "star_delta_30d": 245,
      "trend_score": 118.49,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "把英文论文读成舒服的中文：本地 PDF 论文翻译、原文对照、边读边问 AI、文献管理。Read English papers in comfortable Chinese.",
      "language": "Python",
      "topics": [
        "academic",
        "arxiv",
        "chinese",
        "claude-code",
        "codex",
        "electron",
        "llm",
        "paper-reading",
        "pdf-translator",
        "reference-manager",
        "research-tool",
        "translation"
      ],
      "created_date": "2026-09-30",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/Edwardxlai/easyread",
      "homepage": "https://edwardxlai.github.io/easyread/",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "paper",
        "papers",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 97,
      "open_issues": 17,
      "watchers": 1140,
      "size_kb": 18590,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-03",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 115,
      "repo": "hang-jin/editaplot",
      "stars": 1127,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 50.13,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI-guided editable scientific figures with Codex and local Origin/OriginPro",
      "language": "Python",
      "topics": [
        "codex-skill",
        "editable-figures",
        "research",
        "scientific-visualization",
        "windows",
        "xps",
        "xrd"
      ],
      "created_date": "2026-07-21",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/hang-jin/editaplot",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "codex",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "research",
        "scientific",
        "skill",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 37,
      "open_issues": 15,
      "watchers": 1127,
      "size_kb": 6774,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-06",
      "first_seen_at": "2026-11-06T02:17:21Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 116,
      "repo": "CRui5in/paper-ppt-agent",
      "stars": 1070,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 42.43,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Generate editable PPT decks from paper PDFs or LaTeX sources",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-15",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/CRui5in/paper-ppt-agent",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 71,
      "open_issues": 11,
      "watchers": 1070,
      "size_kb": 93567,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T02:03:55Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 117,
      "repo": "cookjohn/cnki-skills",
      "stars": 1056,
      "star_delta_1d": 1,
      "star_delta_7d": 22,
      "star_delta_30d": 73,
      "trend_score": 50.59,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "CNKI (中国知网) skills for Claude Code — search, browse journals, download PDFs, export to Zotero via Chrome DevTools MCP",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-28",
      "last_push_date": "2026-03-13",
      "url": "https://github.com/cookjohn/cnki-skills",
      "homepage": "",
      "agents": [
        "claude-code",
        "mcp"
      ],
      "precision_signals": [
        "claude code",
        "journal",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 89,
      "open_issues": 8,
      "watchers": 1056,
      "size_kb": 449,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 10,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 118,
      "repo": "LeonChaoX/qinyan-academic-skills",
      "stars": 1029,
      "star_delta_1d": 1,
      "star_delta_7d": 27,
      "star_delta_30d": 85,
      "trend_score": 56.5,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.",
      "language": "Python",
      "topics": [
        "academic",
        "ai-assistant",
        "arxiv",
        "claude-code",
        "google-scholar",
        "literature-review",
        "openclaw",
        "paper-search",
        "pubmed",
        "skill"
      ],
      "created_date": "2026-02-27",
      "last_push_date": "2026-07-20",
      "url": "https://github.com/LeonChaoX/qinyan-academic-skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "agent skill",
        "literature",
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 95,
      "open_issues": 1,
      "watchers": 1029,
      "size_kb": 4882,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 187,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 119,
      "repo": "P1kaj1uu/ChattyPlay-Agent",
      "stars": 985,
      "star_delta_1d": 1,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 43.3,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "🚀 告别多个App！本项目主要基于Python+React+TypeScript+Hono+SQLite3+Redis，打造“All in One”智能工具集。免会员播放爱奇艺、腾讯视频、优酷、抖音、B站、小红书等20+平台视频，支持4K在线解析与无水印高速下载。集成Cloudflare Turnstile防机器人和爬虫、Google、GitHub授权登录及OpenAI SDK、埋点SDK、MCP服务和Agent等，支持ChatGPT对话、AI绘画、论文降重、Hugging Face论文爬取、在线Latex编写；更有实时黄金K线、AI思维导图、闲鱼助手等效率黑科技。内置海量动漫漫画资源，畅享阅读！轻量高效，配置即用，完美适配PC与移动端，快来ChattyPlay开启奇妙之旅吧～",
      "language": "TypeScript",
      "topics": [
        "agent",
        "ai-drawing",
        "aigc",
        "chatgpt",
        "docker",
        "eventstream",
        "hono",
        "huggingface",
        "live2d",
        "mcp",
        "music-player",
        "nginx",
        "react",
        "sdk",
        "three-js",
        "typescript",
        "video",
        "vip",
        "vue",
        "xian-yu"
      ],
      "created_date": "2023-01-04",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/P1kaj1uu/ChattyPlay-Agent",
      "homepage": "https://chatty-play-agent.vercel.app",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "mcp",
        "missing_strong_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 194,
      "open_issues": 19,
      "watchers": 985,
      "size_kb": 9868,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 120,
      "repo": "SYSU-SCC/sysu-thesis",
      "stars": 980,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 38.62,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "中山大学 LaTeX 毕业论文项目模板",
      "language": "TeX",
      "topics": [
        "latex"
      ],
      "created_date": "2020-12-28",
      "last_push_date": "2026-09-04",
      "url": "https://github.com/SYSU-SCC/sysu-thesis",
      "homepage": "https://github.com/SYSU-SCC/sysu-thesis/releases",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 95,
      "open_issues": 5,
      "watchers": 980,
      "size_kb": 33060,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 121,
      "repo": "Trae1ounG/paper-plot-skills",
      "stars": 951,
      "star_delta_1d": 0,
      "star_delta_7d": 11,
      "star_delta_30d": 77,
      "trend_score": 37.03,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "Top-Conference Paper Figure Reproduction & Plotting Skills | 顶会论文图表复现绘制Skills",
      "language": "Python",
      "topics": [
        "llms",
        "plot",
        "skills"
      ],
      "created_date": "2026-04-17",
      "last_push_date": "2026-04-20",
      "url": "https://github.com/Trae1ounG/paper-plot-skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "conference",
        "paper",
        "skill",
        "skills",
        "复现",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 39,
      "open_issues": 0,
      "watchers": 951,
      "size_kb": 3811,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 122,
      "repo": "d6t/d6tflow",
      "stars": 950,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 25.03,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Python library for building highly effective data science workflows",
      "language": "Python",
      "topics": [],
      "created_date": "2019-02-03",
      "last_push_date": "2026-06-28",
      "url": "https://github.com/d6t/d6tflow",
      "homepage": "https://d6tflow.readthedocs.io/en/latest/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "research workflow",
        "science",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 72,
      "open_issues": 19,
      "watchers": 950,
      "size_kb": 398,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T02:03:55Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 123,
      "repo": "alephpi/Texo",
      "stars": 919,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 12,
      "trend_score": 35.58,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training pipeline available for self-reproduction. | 超轻量SOTA LaTeX公式识别模型，仅20M参数量，可在浏览器中运行。训练全流程代码开源，以便自学复现。",
      "language": "Python",
      "topics": [
        "computer-vision",
        "deep-learning",
        "distillation-model",
        "formula",
        "formulanet",
        "hydra",
        "latex",
        "latex-ocr",
        "machine-learning",
        "math",
        "math-formula-recognition",
        "ocr",
        "ocr-recognition",
        "python",
        "pytorch",
        "pytorch-lightning",
        "transformers",
        "unimernet",
        "vision-encoder-decoder"
      ],
      "created_date": "2025-07-29",
      "last_push_date": "2026-09-18",
      "url": "https://github.com/alephpi/Texo",
      "homepage": "https://texocr.netlify.app/",
      "agents": [],
      "precision_signals": [
        "latex",
        "pipeline",
        "复现"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 56,
      "open_issues": 0,
      "watchers": 919,
      "size_kb": 4494,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [
        "light0305/light-skills"
      ],
      "rank": 124,
      "repo": "Light0305/Light-Science",
      "stars": 908,
      "star_delta_1d": 4,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 49.55,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A research workflow skill pack connecting literature, experiments, figures, writing, memory and project coordination.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "agent-skills",
        "ai-agent",
        "ai-skills",
        "claude-code",
        "codex",
        "latex",
        "literature-review",
        "llm-skills",
        "opencode",
        "paper-writing",
        "research-tools",
        "scientific-figures",
        "scientific-workflow"
      ],
      "created_date": "2026-06-07",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/Light0305/Light-Science",
      "homepage": "https://lightchuan.xyz/",
      "agents": [
        "claude-code",
        "codex",
        "opencode"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "literature",
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 102,
      "open_issues": 0,
      "watchers": 908,
      "size_kb": 77558,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 19,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 125,
      "repo": "limouren2000/llms-dev-study",
      "stars": 894,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 46.56,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "小李的大模型应用开发学习路线，涵盖 RAG、Agent、面试八股与论文速读。",
      "language": "Jupyter Notebook",
      "topics": [],
      "created_date": "2024-05-09",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/limouren2000/llms-dev-study",
      "homepage": "https://limouren2000.github.io/llms-dev-study/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 72,
      "open_issues": 1,
      "watchers": 894,
      "size_kb": 62423,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 126,
      "repo": "labarba/sciwrite",
      "stars": 877,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 48.79,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Agent Skill for AI-assisted manuscript writing review, based on Dr. Kristin Sainani's \"Writing in the Sciences\" methodology.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-05",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/labarba/sciwrite",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "manuscript",
        "peer review",
        "readme_scope",
        "review",
        "science",
        "scientific writing",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 107,
      "open_issues": 0,
      "watchers": 877,
      "size_kb": 119,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 127,
      "repo": "ganzhi-black/humanities-thesis-skill",
      "stars": 876,
      "star_delta_1d": 3,
      "star_delta_7d": 47,
      "star_delta_30d": 232,
      "trend_score": 79.94,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "AI skill for humanities thesis writing — from topic selection to publication. 8 academic databases, 21 review rules, anti-hallucination guardrails. 人文社科论文写作 AI Skill",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-27",
      "last_push_date": "2026-04-29",
      "url": "https://github.com/ganzhi-black/humanities-thesis-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "review",
        "skill",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 49,
      "open_issues": 5,
      "watchers": 876,
      "size_kb": 139,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 128,
      "repo": "harbor-framework/terminal-bench-science",
      "stars": 865,
      "star_delta_1d": 2,
      "star_delta_7d": 55,
      "star_delta_30d": 55,
      "trend_score": 109.48,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains",
      "language": "Python",
      "topics": [
        "agentic-ai",
        "ai-for-science",
        "ai4science"
      ],
      "created_date": "2026-01-25",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/harbor-framework/terminal-bench-science",
      "homepage": "https://www.terminal-bench-science.ai",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "research",
        "research workflow",
        "science",
        "scientific",
        "scientific research",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 536,
      "open_issues": 573,
      "watchers": 865,
      "size_kb": 1150157,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 129,
      "repo": "Rss3208/Visiomaster",
      "stars": 850,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 33.18,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "参考 ppt-master 思路构建的 Visio 图形重建工具包，将流程图、架构图和论文模块图从图片重建为可编辑 .vsdx，并导出 SVG/PNG。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-12",
      "last_push_date": "2026-09-14",
      "url": "https://github.com/Rss3208/Visiomaster",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 43,
      "open_issues": 3,
      "watchers": 850,
      "size_kb": 2754,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 130,
      "repo": "lcpmgh/colors",
      "stars": 834,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 26.97,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "科研绘图配色推荐器",
      "language": "HTML",
      "topics": [
        "r",
        "shiny"
      ],
      "created_date": "2024-04-05",
      "last_push_date": "2026-06-26",
      "url": "https://github.com/lcpmgh/colors",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 48,
      "open_issues": 0,
      "watchers": 834,
      "size_kb": 40050,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 131,
      "repo": "DaoSword/Time-Series-Forecasting-and-Deep-Learning",
      "stars": 811,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 39.52,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Resources about time series forecasting and deep learning.",
      "language": "Python",
      "topics": [
        "data-science",
        "deep-learning",
        "forecasting",
        "machine-learning",
        "series-data",
        "series-forecasting",
        "time-series",
        "time-series-forecasting"
      ],
      "created_date": "2022-07-25",
      "last_push_date": "2026-10-19",
      "url": "https://github.com/DaoSword/Time-Series-Forecasting-and-Deep-Learning",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "research paper",
        "research papers",
        "science"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 70,
      "open_issues": 0,
      "watchers": 811,
      "size_kb": 842,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T02:03:55Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 132,
      "repo": "FeijiangHan/PaperForge",
      "stars": 810,
      "star_delta_1d": 4,
      "star_delta_7d": 31,
      "star_delta_30d": 31,
      "trend_score": 80.32,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An active paper-reading skill that reconstructs author reasoning, explains methods mechanistically, stress-tests assumptions, and generates follow-up research ideas.",
      "language": "",
      "topics": [],
      "created_date": "2026-06-15",
      "last_push_date": "2026-10-31",
      "url": "https://github.com/FeijiangHan/PaperForge",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "paper",
        "readme_scope",
        "reasoning",
        "research",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 31,
      "open_issues": 2,
      "watchers": 810,
      "size_kb": 146,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [
        "yjz211/vivid-figures-skill"
      ],
      "rank": 133,
      "repo": "yjz211/vivid-illustration-skill",
      "stars": 792,
      "star_delta_1d": 6,
      "star_delta_7d": 120,
      "star_delta_30d": 120,
      "trend_score": 189.77,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "让 AI 用你的数据生成科研图表：108 个配方，鲜艳与稳重两种风格，多套配色，交付图片与源码。仅限个人非商业使用。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-09-10",
      "last_push_date": "2026-10-17",
      "url": "https://github.com/yjz211/vivid-illustration-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 50,
      "open_issues": 0,
      "watchers": 792,
      "size_kb": 320866,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-18",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 134,
      "repo": "WantongC/journal-adapt-writing-skill",
      "stars": 778,
      "star_delta_1d": 1,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 32.73,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Learn any journal's writing conventions from its published papers, then revise your manuscript to match — section by section.",
      "language": "",
      "topics": [
        "academic-writing",
        "claude",
        "economics",
        "journal",
        "latex",
        "llm",
        "manuscript-revision",
        "prompt-engineering",
        "research",
        "writing"
      ],
      "created_date": "2026-05-13",
      "last_push_date": "2026-05-15",
      "url": "https://github.com/WantongC/journal-adapt-writing-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "paper",
        "paper writing",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 46,
      "open_issues": 0,
      "watchers": 778,
      "size_kb": 177,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 135,
      "repo": "Abnerla/AI_paper",
      "stars": 774,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 39.92,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "一站式AI学术论文写作辅助工具 · 支持从定题出稿全过程，涵盖降AIGC、查重率、润色、纠错等辅助功能",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2026-04-05",
      "last_push_date": "2026-09-24",
      "url": "https://github.com/Abnerla/AI_paper",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 58,
      "open_issues": 2,
      "watchers": 774,
      "size_kb": 39129,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 17,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 136,
      "repo": "LigphiDonk/Oh-my--paper",
      "stars": 754,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 14,
      "trend_score": 25.42,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A Claude Code plugin that turns your terminal into an autonomous research lab — literature survey, experiment execution, paper writing, all in one pipeline.",
      "language": "TypeScript",
      "topics": [],
      "created_date": "2026-03-10",
      "last_push_date": "2026-04-15",
      "url": "https://github.com/LigphiDonk/Oh-my--paper",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "claude code",
        "literature",
        "paper",
        "pipeline",
        "plugin",
        "research",
        "survey",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 54,
      "open_issues": 8,
      "watchers": 754,
      "size_kb": 268900,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 71,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 137,
      "repo": "SiriusFzh/NovaForge",
      "stars": 731,
      "star_delta_1d": 2,
      "star_delta_7d": 18,
      "star_delta_30d": 18,
      "trend_score": 44.52,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "锻造你的知识体系 | 考研·考公·专业课·科研·项目·竞赛通用笔记模板。LaTeX+Typst+Markdown三版本，7步模块化结构，6种场景模板，一键换色，开箱即用。",
      "language": "TeX",
      "topics": [
        "latex-template",
        "note-taking",
        "novaforge",
        "study-notes",
        "template"
      ],
      "created_date": "2026-05-12",
      "last_push_date": "2026-05-25",
      "url": "https://github.com/SiriusFzh/NovaForge",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 24,
      "open_issues": 7,
      "watchers": 731,
      "size_kb": 3453,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 138,
      "repo": "7toCR/paper2patent",
      "stars": 728,
      "star_delta_1d": 1,
      "star_delta_7d": 21,
      "star_delta_30d": 72,
      "trend_score": 61.15,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "📄→💡 Paper2Patent：面向科研成果转化的论文转专利智能模板库，提供 Flash/Pro Prompt、专利附图生成与 Agent Skills，辅助规范生成中国发明专利申请文本。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-03",
      "last_push_date": "2026-10-10",
      "url": "https://github.com/7toCR/paper2patent",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "agent skill",
        "paper",
        "skill",
        "skills",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 63,
      "open_issues": 0,
      "watchers": 728,
      "size_kb": 375,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 139,
      "repo": "cheneternity/Zotero-Analytical-Workflow-Skills",
      "stars": 723,
      "star_delta_1d": 0,
      "star_delta_7d": 10,
      "star_delta_30d": 76,
      "trend_score": 45.7,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "主要是用于zotero论文导入obsidian的转换和管理，包括论文精读和精读模板",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-10",
      "last_push_date": "2026-09-30",
      "url": "https://github.com/cheneternity/Zotero-Analytical-Workflow-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "skills",
        "workflow",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 52,
      "open_issues": 1,
      "watchers": 723,
      "size_kb": 169,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 7,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 140,
      "repo": "xiaofenggan01/aigc-reduce",
      "stars": 717,
      "star_delta_1d": 0,
      "star_delta_7d": 36,
      "star_delta_30d": 93,
      "trend_score": 66.05,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "降低学术论文 AIGC 查重率的 Claude Code Skill | A Claude Code skill for reducing AIGC detection rates in academic papers",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-02",
      "last_push_date": "2026-07-08",
      "url": "https://github.com/xiaofenggan01/aigc-reduce",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "papers",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 30,
      "open_issues": 1,
      "watchers": 717,
      "size_kb": 119,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 141,
      "repo": "hanlulong/econ-writing-skill",
      "stars": 714,
      "star_delta_1d": 1,
      "star_delta_7d": 19,
      "star_delta_30d": 62,
      "trend_score": 45.63,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Agent Skill that transforms AI assistants into expert economics paper writers. Synthesizes 50+ guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Kremer. Compatible with Claude Code and OpenAI Codex.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "agent-skills",
        "ai",
        "claude-code",
        "codex",
        "economics",
        "latex",
        "research-tools"
      ],
      "created_date": "2026-02-16",
      "last_push_date": "2026-07-20",
      "url": "https://github.com/hanlulong/econ-writing-skill",
      "homepage": "https://openecon.ai",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "agent skill",
        "latex",
        "paper",
        "research",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 112,
      "open_issues": 0,
      "watchers": 714,
      "size_kb": 229,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 142,
      "repo": "hanlulong/awesome-ai-for-economists",
      "stars": 707,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 43.41,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A curated list of AI tools, agent skills, libraries, and resources for economics research, teaching, and policy analysis. Maintained by the OpenEcon team.",
      "language": "",
      "topics": [
        "agent-skills",
        "ai",
        "artificial-intelligence",
        "awesome",
        "awesome-list",
        "causal-inference",
        "claude-skills",
        "econometrics",
        "economics",
        "economists",
        "generative-ai",
        "llm",
        "machine-learning",
        "mcp",
        "research-tools",
        "social-science",
        "stata"
      ],
      "created_date": "2026-02-21",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/hanlulong/awesome-ai-for-economists",
      "homepage": "https://openecon.ai",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "agent skill",
        "literature review",
        "missing_high_confidence_academic_signal",
        "paper review",
        "readme_scope",
        "research",
        "science",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 160,
      "open_issues": 1,
      "watchers": 707,
      "size_kb": 203,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "cc0-1.0",
        "name": "Creative Commons Zero v1.0 Universal",
        "spdx_id": "CC0-1.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-06",
      "first_seen_at": "2026-11-06T02:17:21Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 143,
      "repo": "ustc-ai4science/academic-search",
      "stars": 706,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 35.27,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2026-04-01",
      "last_push_date": "2026-09-05",
      "url": "https://github.com/ustc-ai4science/academic-search",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "science",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 40,
      "open_issues": 4,
      "watchers": 706,
      "size_kb": 10454,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 144,
      "repo": "M1n-n9/paper-lifecycle",
      "stars": 705,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 12,
      "trend_score": 24.92,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Codex skill for full academic paper lifecycle analysis and revision",
      "language": "",
      "topics": [],
      "created_date": "2026-06-15",
      "last_push_date": "2026-06-16",
      "url": "https://github.com/M1n-n9/paper-lifecycle",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "paper",
        "skill"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 38,
      "open_issues": 0,
      "watchers": 705,
      "size_kb": 1122,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 145,
      "repo": "RealXiaoze/humanoid-motion-intelligence",
      "stars": 704,
      "star_delta_1d": 0,
      "star_delta_7d": 11,
      "star_delta_30d": 11,
      "trend_score": 57.0,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "人形机器人运动智能论文、开源项目、产业与求职知识库",
      "language": "",
      "topics": [
        "embodied-ai",
        "humanoid-robotics",
        "locomotion",
        "motion-control",
        "reinforcement-learning",
        "robot-learning",
        "sim2real",
        "vla"
      ],
      "created_date": "2026-07-19",
      "last_push_date": "2026-10-26",
      "url": "https://github.com/RealXiaoze/humanoid-motion-intelligence",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 51,
      "open_issues": 0,
      "watchers": 704,
      "size_kb": 183944,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 146,
      "repo": "Ar9av/PaperOrchestra",
      "stars": 700,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 20,
      "trend_score": 46.2,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills -  benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.",
      "language": "Python",
      "topics": [
        "agentic-ai",
        "ai-research",
        "anthropic",
        "antigravity",
        "arxiv",
        "automated-paper-writing",
        "claude-code",
        "claude-skills",
        "coding-agents",
        "cursor",
        "latex",
        "literature-review",
        "llm-agents",
        "multi-agent",
        "paper-orchestra",
        "paperorchestra",
        "research-paper",
        "semantic-scholar",
        "skill-pack"
      ],
      "created_date": "2026-04-09",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/Ar9av/PaperOrchestra",
      "homepage": "https://arxiv.org/pdf/2604.05018",
      "agents": [
        "claude-code",
        "cursor",
        "cline"
      ],
      "precision_signals": [
        "claude code",
        "literature",
        "paper",
        "research",
        "review",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 97,
      "open_issues": 1,
      "watchers": 700,
      "size_kb": 3292,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 9,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 147,
      "repo": "datawhalechina/dive-into-embodied-ai",
      "stars": 699,
      "star_delta_1d": 0,
      "star_delta_7d": 26,
      "star_delta_30d": 26,
      "trend_score": 73.96,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "从零到一搭建一台具身智能机器人:深入强化学习、World-Model、VLA 等智能决策方法的工程落地,贯穿仿真环境、控制器、运动规划、感知系统等技能树模块,并在真实项目中跑通\"决策—控制—感知\"完整链路。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-28",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/datawhalechina/dive-into-embodied-ai",
      "homepage": "https://datawhalechina.github.io/dive-into-embodied-ai/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 64,
      "open_issues": 5,
      "watchers": 699,
      "size_kb": 36460,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T08:55:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 148,
      "repo": "massimoaria/bibliometrix",
      "stars": 676,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 43.69,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.",
      "language": "R",
      "topics": [
        "bibliometric-analysis",
        "bibliometrics",
        "citation",
        "citation-network",
        "citations",
        "co-authors",
        "co-occurence",
        "co-word-analysis",
        "correspondence-analysis",
        "coupling",
        "isi-web",
        "journal",
        "manuscript",
        "quantitative-analysis",
        "scholars",
        "science",
        "science-mapping",
        "scientific",
        "scientometrics",
        "scopus"
      ],
      "created_date": "2017-02-22",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/massimoaria/bibliometrix",
      "homepage": "https://www.bibliometrix.org",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "bibliometric",
        "citation",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "research paper",
        "science",
        "scientific",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 176,
      "open_issues": 3,
      "watchers": 676,
      "size_kb": 179432,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 149,
      "repo": "Doryoku1223/lunwen-skill",
      "stars": 671,
      "star_delta_1d": 2,
      "star_delta_7d": 8,
      "star_delta_30d": 19,
      "trend_score": 32.22,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "面向本科计科学生的一键论文初稿 Skill，支持样文/开题报告/模板驱动生成，并补全流程图、ER 图和项目截图",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-03",
      "last_push_date": "2026-04-05",
      "url": "https://github.com/Doryoku1223/lunwen-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 23,
      "open_issues": 2,
      "watchers": 671,
      "size_kb": 94,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 150,
      "repo": "Boom5426/Nature-Paper-Skills",
      "stars": 664,
      "star_delta_1d": 1,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 55.38,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "An AI-powered Scientific Writing Workflow: Agent skills for drafting, revising, auditing, and resubmitting Nature-style journal manuscripts.",
      "language": "Python",
      "topics": [
        "nature-paper",
        "paper",
        "paper-skills",
        "paper-write",
        "paper-writing",
        "paper-writing-agent"
      ],
      "created_date": "2026-04-12",
      "last_push_date": "2026-11-03",
      "url": "https://github.com/Boom5426/Nature-Paper-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "agent skill",
        "journal",
        "manuscript",
        "paper",
        "scientific",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 55,
      "open_issues": 0,
      "watchers": 664,
      "size_kb": 2208,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 28,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 151,
      "repo": "hzysvilla/Academic_Smart_Contract_Papers",
      "stars": 647,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 39.75,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Academic Smart Contract Papers. Welcome developers or researchers to add more published papers to this list.",
      "language": "",
      "topics": [],
      "created_date": "2020-09-04",
      "last_push_date": "2026-10-23",
      "url": "https://github.com/hzysvilla/Academic_Smart_Contract_Papers",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 78,
      "open_issues": 0,
      "watchers": 647,
      "size_kb": 8742,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 152,
      "repo": "WenyuChiou/ai-research-skills",
      "stars": 646,
      "star_delta_1d": 0,
      "star_delta_7d": 98,
      "star_delta_30d": 334,
      "trend_score": 159.79,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "agentic-ai",
        "agentskills",
        "ai-research",
        "ai-skills",
        "claude-code",
        "claude-skills",
        "codex",
        "cursor",
        "gemini",
        "literature-review",
        "marketplace",
        "multi-agent",
        "notebooklm",
        "obsidian",
        "openclaw",
        "research",
        "research-workflow",
        "skill-md",
        "zotero"
      ],
      "created_date": "2026-04-25",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/WenyuChiou/ai-research-skills",
      "homepage": "https://github.com/WenyuChiou/ai-research-skills/blob/main/README.md",
      "agents": [
        "claude-code",
        "codex",
        "cursor",
        "gemini"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "literature",
        "research",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 44,
      "open_issues": 1,
      "watchers": 646,
      "size_kb": 25219,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 153,
      "repo": "QJHWC/PaperForge",
      "stars": 641,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 39.88,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "End-to-end AI-powered academic paper writing system — from idea generation and literature search to experiment execution, result backfill, and LaTeX paper compilation. Supports multi-LLM routing, SSH remote training, incremental sync, and anti-AI-detection writing style.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "ai",
        "latex",
        "llm",
        "paper-generation",
        "remote-execution",
        "ssh"
      ],
      "created_date": "2026-03-06",
      "last_push_date": "2026-10-13",
      "url": "https://github.com/QJHWC/PaperForge",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "latex",
        "literature",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 96,
      "open_issues": 1,
      "watchers": 641,
      "size_kb": 9179,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 9,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 154,
      "repo": "NWPUMetaphysicsOffice/Yet-Another-LaTeX-Template-for-NPU-Thesis",
      "stars": 626,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 29.58,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "西北工业大学硕博学位论文模版 | Yet Another Thesis Template for Northwestern Polytechnical University",
      "language": "TeX",
      "topics": [
        "latex",
        "latex-template",
        "master-thesis",
        "npu-thesis",
        "nwpu-metaphysics-office",
        "phd-thesis",
        "thesis",
        "thesis-template"
      ],
      "created_date": "2019-04-04",
      "last_push_date": "2026-03-18",
      "url": "https://github.com/NWPUMetaphysicsOffice/Yet-Another-LaTeX-Template-for-NPU-Thesis",
      "homepage": "https://nwpumetaphysicsoffice.github.io/Yet-Another-LaTeX-Template-for-NPU-Thesis/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "latex",
        "missing_skill_signal",
        "phd",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 151,
      "open_issues": 24,
      "watchers": 626,
      "size_kb": 23908,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 155,
      "repo": "xiao24bei/xiaobei-skill",
      "stars": 617,
      "star_delta_1d": 1,
      "star_delta_7d": 12,
      "star_delta_30d": 29,
      "trend_score": 40.92,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "小北在读研开源 Codex Skills 合集：Image to VBA、Academic Paper to PPT 等 AI + 科研工作流。",
      "language": "Python",
      "topics": [
        "academic-figures",
        "academic-ppt",
        "academic-presentation",
        "agent-skills",
        "ai-for-research",
        "codex-skill",
        "editable-powerpoint",
        "image-to-vba",
        "office-shapes",
        "office-vba",
        "openai-codex",
        "paper-to-ppt",
        "powerpoint",
        "powerpoint-live",
        "ppt",
        "rebuild-image-in-powerpoint",
        "research-figures",
        "wps",
        "xiaobei",
        "xiaobei-skill"
      ],
      "created_date": "2026-05-26",
      "last_push_date": "2026-08-27",
      "url": "https://github.com/xiao24bei/xiaobei-skill",
      "homepage": "https://xiaobeiai.top",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "paper",
        "research",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 25,
      "open_issues": 2,
      "watchers": 617,
      "size_kb": 33859,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 156,
      "repo": "georgian-io/Multimodal-Toolkit",
      "stars": 617,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 22.33,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Multimodal model for text and tabular data with HuggingFace transformers as building block for text data",
      "language": "Python",
      "topics": [
        "huggingface-transformers",
        "multimodal-learning",
        "natural-language-processing",
        "tabular-data",
        "transformer"
      ],
      "created_date": "2020-08-20",
      "last_push_date": "2026-05-04",
      "url": "https://github.com/georgian-io/Multimodal-Toolkit",
      "homepage": "https://multimodal-toolkit.readthedocs.io",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "literature review",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 93,
      "open_issues": 8,
      "watchers": 617,
      "size_kb": 69608,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-02",
      "first_seen_at": "2026-11-02T09:50:45Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 157,
      "repo": "jimmc414/Kosmos",
      "stars": 607,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 12,
      "trend_score": 36.35,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper -  https://arxiv.org/abs/2511.02824",
      "language": "Python",
      "topics": [],
      "created_date": "2025-11-07",
      "last_push_date": "2026-10-09",
      "url": "https://github.com/jimmc414/Kosmos",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "arxiv",
        "claude code",
        "paper",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 109,
      "open_issues": 2,
      "watchers": 607,
      "size_kb": 23643,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 164,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 158,
      "repo": "ZyhSechub/chinese-thesis-workbench-skill",
      "stars": 597,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 24.61,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "本科毕业论文skill：会把你的项目的源码、数据库、截图和文献，按学校模板与样文风格，工程化地写成整合成可追溯、可续写、可审查的本科毕业论文",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-02",
      "last_push_date": "2026-05-07",
      "url": "https://github.com/ZyhSechub/chinese-thesis-workbench-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "thesis",
        "文献",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 30,
      "open_issues": 1,
      "watchers": 597,
      "size_kb": 190,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 159,
      "repo": "InternScience/Awesome-Scientific-Skills",
      "stars": 590,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 27.19,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!",
      "language": "",
      "topics": [
        "agent-skills",
        "awesome-list",
        "openclaw-skills",
        "scientific-data",
        "scientific-discovery",
        "scientific-skill"
      ],
      "created_date": "2026-03-03",
      "last_push_date": "2026-08-13",
      "url": "https://github.com/InternScience/Awesome-Scientific-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "agent skill",
        "literature search",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "research",
        "science",
        "scientific",
        "scientific research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 51,
      "open_issues": 14,
      "watchers": 590,
      "size_kb": 1167,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 160,
      "repo": "Adkid-Zephyr/oral-paper-skill",
      "stars": 572,
      "star_delta_1d": 4,
      "star_delta_7d": 40,
      "star_delta_30d": 204,
      "trend_score": 85.61,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "向顶会优秀论文学科研｜Oral Paper Skill — 从 883 篇 Oral 论文摘要中“蒸馏”共通做法，用于论文对照改进与学习复盘 · Skill + prompt pack (CN/EN). Learn from 883 Oral paper abstracts to improve your research and writing.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "claude-code",
        "codex-skills",
        "iclr",
        "icml",
        "machine-learning",
        "neurips",
        "research"
      ],
      "created_date": "2026-09-02",
      "last_push_date": "2026-09-17",
      "url": "https://github.com/Adkid-Zephyr/oral-paper-skill",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "paper",
        "research",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 24,
      "open_issues": 0,
      "watchers": 572,
      "size_kb": 2717,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 161,
      "repo": "liubenyuan/nudtpaper",
      "stars": 568,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 36.99,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A LaTeX template for Master/PhD Thesis of NUDT",
      "language": "TeX",
      "topics": [
        "latex",
        "phd-thesis-template",
        "xelatex"
      ],
      "created_date": "2013-02-23",
      "last_push_date": "2026-10-13",
      "url": "https://github.com/liubenyuan/nudtpaper",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "latex",
        "missing_skill_signal",
        "paper",
        "phd",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 179,
      "open_issues": 31,
      "watchers": 568,
      "size_kb": 20665,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 162,
      "repo": "TingxiYu/academic-figure-skill",
      "stars": 566,
      "star_delta_1d": 0,
      "star_delta_7d": 17,
      "star_delta_30d": 81,
      "trend_score": 46.02,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A skill for academic research figure generation that autonomously handles the full workflow — data understanding, chart type recommendation, and format-compliant generation.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-07-07",
      "last_push_date": "2026-07-12",
      "url": "https://github.com/TingxiYu/academic-figure-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "research",
        "skill",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 3,
      "watchers": 566,
      "size_kb": 68742,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 163,
      "repo": "1692775560/dsh-Mimir-Academic-research",
      "stars": 562,
      "star_delta_1d": 0,
      "star_delta_7d": 10,
      "star_delta_30d": 12,
      "trend_score": 59.23,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Mimir — 一站式科研工作台插件：LaTeX 论文边写边编译、arXiv 文献管理、实验追踪、指标图表、GPU 服务器 SSH 任务编排，管理科研全周期。An open-source research workbench plugin for the whole research cycle.",
      "language": "TypeScript",
      "topics": [
        "arxiv",
        "bibtex",
        "deepseek",
        "deepseek-harness",
        "dsh-plugin",
        "experiment-tracking",
        "gpu-cluster",
        "latex",
        "paper-writing",
        "research",
        "research-tools",
        "ssh"
      ],
      "created_date": "2026-08-20",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/1692775560/dsh-Mimir-Academic-research",
      "homepage": "https://mimir.smartlarkai.com",
      "agents": [],
      "precision_signals": [
        "academic",
        "arxiv",
        "paper",
        "plugin",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 18,
      "open_issues": 26,
      "watchers": 562,
      "size_kb": 88761,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 164,
      "repo": "claesbackman/AI-research-feedback",
      "stars": 554,
      "star_delta_1d": 0,
      "star_delta_7d": 28,
      "star_delta_30d": 59,
      "trend_score": 72.64,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2026-03-01",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/claesbackman/AI-research-feedback",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "research",
        "review",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 107,
      "open_issues": 0,
      "watchers": 554,
      "size_kb": 3350,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 13,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 165,
      "repo": "alfonso0512/research-writing-skill",
      "stars": 547,
      "star_delta_1d": 0,
      "star_delta_7d": 11,
      "star_delta_30d": 57,
      "trend_score": 35.11,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "🎓 AI 科研论文写作助手 - 30 个 Prompt 模板覆盖论文写作全流程。支持中英文翻译、润色、文献综述、投稿回复、基金申请等。",
      "language": "Python",
      "topics": [
        "academic-writing",
        "ai-writing",
        "openclaw",
        "paper-writing",
        "productivity",
        "prompt-engineering",
        "research",
        "research-tools",
        "scientific-writing",
        "skill"
      ],
      "created_date": "2026-03-18",
      "last_push_date": "2026-07-15",
      "url": "https://github.com/alfonso0512/research-writing-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "research",
        "scientific",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 46,
      "open_issues": 1,
      "watchers": 547,
      "size_kb": 89,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 166,
      "repo": "bahayonghang/academic-writing-skills",
      "stars": 544,
      "star_delta_1d": 1,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 56.22,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "AI-powered post-writing toolkit for academic papers — format validation, grammar/style polishing, de-AI editing, reference checking, and reviewer-style paper audits. 5 skills for LaTeX, Typst & PDF. Focused on enhancing existing text quality, not generating from scratch.",
      "language": "Python",
      "topics": [
        "academic",
        "latex",
        "typst"
      ],
      "created_date": "2026-01-01",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/bahayonghang/academic-writing-skills",
      "homepage": "https://bahayonghang.github.io/academic-writing-skills/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "paper",
        "papers",
        "phd",
        "readme_scope",
        "review",
        "skill",
        "skills",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 42,
      "open_issues": 0,
      "watchers": 544,
      "size_kb": 31507,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 8,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 167,
      "repo": "damonwan1/AutoScholarLoop",
      "stars": 536,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 31.35,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A multi-agent AUTO Research loop for idea discovery, experiment execution, evidence-grounded paper writing, quality audit, and live Web observation from AI group, CNIC, CAS.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "ai-research",
        "ai-researcher",
        "ai-scientist",
        "ai-scientists",
        "auto-research",
        "paper-writing-agent",
        "research-agent"
      ],
      "created_date": "2026-04-24",
      "last_push_date": "2026-09-24",
      "url": "https://github.com/damonwan1/AutoScholarLoop",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "experiment",
        "missing_skill_signal",
        "paper",
        "paper writing",
        "peer review",
        "phd",
        "readme_scope",
        "research"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 0,
      "watchers": 536,
      "size_kb": 4443,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 6,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 168,
      "repo": "FoShmily/ai-paper-system",
      "stars": 532,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 44.8,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI论文系统 · AI论文生成、AI论文写作，一键论文生成，降AIGC、降重、答辩PPT · OEM白标招商加盟",
      "language": "",
      "topics": [
        "ai",
        "ai-humanizer",
        "ai-ppt",
        "aigc",
        "deepseek",
        "llm",
        "paper-generator",
        "rewriter",
        "saas",
        "thesis"
      ],
      "created_date": "2026-09-29",
      "last_push_date": "2026-10-13",
      "url": "https://github.com/FoShmily/ai-paper-system",
      "homepage": "https://www.openlun.com",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "thesis",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 43,
      "open_issues": 0,
      "watchers": 532,
      "size_kb": 5543,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 169,
      "repo": "federicodeponte/opendraft",
      "stars": 531,
      "star_delta_1d": 1,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 48.79,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "The open-source agent system that writes research papers with verified citations. Every citation checked against Crossref, OpenAlex and Semantic Scholar.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "agents",
        "ai-agents",
        "citation-verification",
        "citations",
        "crossref",
        "dissertation",
        "literature-review",
        "llm",
        "multi-agent",
        "open-source",
        "openalex",
        "python",
        "research-assistant",
        "research-paper",
        "research-paper-generator",
        "semantic-scholar",
        "thesis",
        "thesis-generator",
        "thesis-writer"
      ],
      "created_date": "2025-10-30",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/federicodeponte/opendraft",
      "homepage": "https://opendraft.xyz",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "missing_strong_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": true,
      "forks": 90,
      "open_issues": 3,
      "watchers": 531,
      "size_kb": 123027,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 170,
      "repo": "SPThole/CoexistAI",
      "stars": 531,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 23.01,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions. ",
      "language": "Jupyter Notebook",
      "topics": [
        "agentic-ai",
        "fastapi",
        "github",
        "langchain",
        "langgraph",
        "map",
        "mcp-server",
        "reddit",
        "searxng",
        "tools",
        "websearch",
        "youtube"
      ],
      "created_date": "2025-06-06",
      "last_push_date": "2026-03-10",
      "url": "https://github.com/SPThole/CoexistAI",
      "homepage": "",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "assistant",
        "mcp",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "research paper",
        "research workflow",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 35,
      "open_issues": 4,
      "watchers": 531,
      "size_kb": 38186,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 171,
      "repo": "Tswoen/Paper-Agent",
      "stars": 530,
      "star_delta_1d": 4,
      "star_delta_7d": 11,
      "star_delta_30d": 11,
      "trend_score": 43.25,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构（LangGraph），通过自然语言处理（NLP）、自动化搜索，帮助用户高效查找学术论文、分析文献内容，并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研，提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景，是学术调研的理想助手。",
      "language": "Python",
      "topics": [
        "agent",
        "agents",
        "ai",
        "autogen",
        "chroma",
        "langchain",
        "llm",
        "multi-agent",
        "paper-agent",
        "python",
        "rag"
      ],
      "created_date": "2025-09-01",
      "last_push_date": "2026-09-18",
      "url": "https://github.com/Tswoen/Paper-Agent",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 55,
      "open_issues": 2,
      "watchers": 530,
      "size_kb": 117162,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 172,
      "repo": "vitorfs/parsifal",
      "stars": 529,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 21.79,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Parsifal is a tool to assist researchers to perform Systematic Literature Reviews",
      "language": "Python",
      "topics": [
        "academic",
        "django",
        "publishing",
        "research",
        "scientific-publications",
        "systematic-literature-reviews"
      ],
      "created_date": "2013-07-25",
      "last_push_date": "2026-05-05",
      "url": "https://github.com/vitorfs/parsifal",
      "homepage": "https://parsif.al",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "literature",
        "literature review",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "review"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 187,
      "open_issues": 40,
      "watchers": 529,
      "size_kb": 3393,
      "default_branch": "dev",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 173,
      "repo": "AaronGIG/pdf2zh-desktop",
      "stars": 526,
      "star_delta_1d": 0,
      "star_delta_7d": 10,
      "star_delta_30d": 10,
      "trend_score": 50.9,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "📖 开箱即用的 PDF 学术翻译神器 | Win + Mac 双平台 | 公式排版完美保留 · Zotero 深度联动 · 35 种语言 · 20+ AI 翻译引擎 · 表格/OCR/术语库 · 批量翻译 | 基于 PDFMathTranslate (EMNLP 2025)",
      "language": "Python",
      "topics": [
        "academic",
        "desktop-app",
        "llm",
        "macos",
        "ocr",
        "pdf",
        "pdf-translation",
        "pdf2zh",
        "pdfmathtranslate",
        "translation",
        "windows",
        "zotero"
      ],
      "created_date": "2026-03-17",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/AaronGIG/pdf2zh-desktop",
      "homepage": "https://aarongig.github.io/pdf2zh-desktop/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 21,
      "open_issues": 0,
      "watchers": 526,
      "size_kb": 167076,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 174,
      "repo": "khoj-ai/openpaper",
      "stars": 522,
      "star_delta_1d": 1,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 44.29,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Open Paper is a workbench for managing your research library. Read, annotate, and understand your papers all in one place. Use an AI assistant to conduct your literature review.",
      "language": "Python",
      "topics": [
        "ai",
        "ai-assistant",
        "ai-pdf-reader",
        "copilot",
        "papers",
        "pdf-ai",
        "pdf-annotation",
        "research",
        "research-paper"
      ],
      "created_date": "2025-03-22",
      "last_push_date": "2026-10-31",
      "url": "https://github.com/khoj-ai/openpaper",
      "homepage": "https://openpaper.ai",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "assistant",
        "copilot",
        "literature",
        "missing_strong_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 77,
      "open_issues": 2,
      "watchers": 522,
      "size_kb": 84954,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 175,
      "repo": "donghuixin/AI-Vibe-Writing-Skills",
      "stars": 501,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 38.22,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Using AI for high quality writing",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-18",
      "last_push_date": "2026-10-26",
      "url": "https://github.com/donghuixin/AI-Vibe-Writing-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_academic_signal",
        "readme_scope",
        "skill",
        "skills",
        "thesis",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 53,
      "open_issues": 0,
      "watchers": 501,
      "size_kb": 437,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-31",
      "first_seen_at": "2026-10-31T03:03:15Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 176,
      "repo": "datawhalechina/happy-figure",
      "stars": 487,
      "star_delta_1d": 3,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 43.68,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "🎨 把时间还给逻辑，用 AI  绘就你的科研故事",
      "language": "",
      "topics": [],
      "created_date": "2026-03-16",
      "last_push_date": "2026-10-13",
      "url": "https://github.com/datawhalechina/happy-figure",
      "homepage": "http://datawhalechina.github.io/happy-figure/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 14,
      "open_issues": 0,
      "watchers": 487,
      "size_kb": 38599,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 177,
      "repo": "hkcanan/katmer-code",
      "stars": 478,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 3,
      "trend_score": 31.35,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Multi-provider AI sidebar for Obsidian — Claude, Gemini, Codex, Antigravity. Per-tab routing, same-tab consult, inline diff, CLAUDE.md auto-mirror, academic research skills.",
      "language": "TypeScript",
      "topics": [
        "academic-research",
        "ai",
        "antigravity",
        "chatgpt",
        "claude",
        "codex",
        "gemini",
        "multi-provider",
        "obsidian",
        "obsidian-plugin"
      ],
      "created_date": "2026-03-22",
      "last_push_date": "2026-09-15",
      "url": "https://github.com/hkcanan/katmer-code",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex",
        "gemini"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "research",
        "skill",
        "skills",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 32,
      "open_issues": 2,
      "watchers": 478,
      "size_kb": 4731,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 178,
      "repo": "modelscope/Awesome-Vibe-Research",
      "stars": 474,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 22,
      "trend_score": 49.35,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "An open, collaboratively-built repository for AI-assisted scientific research — collecting and curating agents, skills, workflows, tools, and best practices across the full research lifecycle. 面向 AI 辅助科研的开放共建仓库 收集和沉淀科研全流程中的 agents、skills、workflows、tools 与最佳实践",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-12",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/modelscope/Awesome-Vibe-Research",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "research",
        "scientific",
        "skill",
        "skills",
        "workflow",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 65,
      "open_issues": 13,
      "watchers": 474,
      "size_kb": 1188,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 179,
      "repo": "fakerqwq/social-science-paper-writing-skill",
      "stars": 470,
      "star_delta_1d": 0,
      "star_delta_7d": 14,
      "star_delta_30d": 82,
      "trend_score": 39.4,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "social-science-paper-writing 是一个面向社会科学论文写作的 Codex/ChatGPT skill，用于辅助完成选题诊断、研究问题细化、论文大纲搭建、文献综述规划、CNKI/Google Scholar 到 Zotero 的文献工作流、草稿评审、章节修订、引用与证据风险检查，以及投稿前检查。  它的核心目标不是“把文字润色得更像论文”，而是帮助作者把论文写成一个可检验、可论证、证据和方法相匹配的社会科学研究。",
      "language": "",
      "topics": [],
      "created_date": "2026-06-01",
      "last_push_date": "2026-06-02",
      "url": "https://github.com/fakerqwq/social-science-paper-writing-skill",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "paper",
        "scholar",
        "science",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 21,
      "open_issues": 1,
      "watchers": 470,
      "size_kb": 87,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 180,
      "repo": "xiejhhhhhh/Draftpaper_loop",
      "stars": 468,
      "star_delta_1d": 2,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 40.61,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Local-first research paper loop engine for auditable, traceable manuscript drafts.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-02",
      "last_push_date": "2026-09-29",
      "url": "https://github.com/xiejhhhhhh/Draftpaper_loop",
      "homepage": "https://xiejhhhhhh.github.io/Draftpaper_loop/support/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature discovery",
        "manuscript",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "research",
        "scientific writing"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 29,
      "open_issues": 0,
      "watchers": 468,
      "size_kb": 37189,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 5,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 181,
      "repo": "TJ-CSCCG/TongjiThesis",
      "stars": 466,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 41.32,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "同济大学毕业设计论文 LaTeX 模板 | TongjiThesis - LaTeX Thesis Template for Tongji University",
      "language": "TeX",
      "topics": [
        "biblatex",
        "ctex",
        "ctexbook",
        "latex",
        "latex-template",
        "lualatex",
        "overleaf",
        "thesis",
        "tongji",
        "tongjithesis",
        "xelatex"
      ],
      "created_date": "2021-05-12",
      "last_push_date": "2026-10-30",
      "url": "https://github.com/TJ-CSCCG/TongjiThesis",
      "homepage": "https://tj-csccg.github.io/TongjiThesis/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 53,
      "open_issues": 0,
      "watchers": 466,
      "size_kb": 2872,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "lppl-1.3c",
        "name": "LaTeX Project Public License v1.3c",
        "spdx_id": "LPPL-1.3c"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-31",
      "first_seen_at": "2026-10-31T03:03:15Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 182,
      "repo": "lingzhi227/agent-research-skills",
      "stars": 459,
      "star_delta_1d": 0,
      "star_delta_7d": 11,
      "star_delta_30d": 11,
      "trend_score": 34.5,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Skills for Claude Code — deep-research: systematic academic literature review",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-20",
      "last_push_date": "2026-02-27",
      "url": "https://github.com/lingzhi227/agent-research-skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "literature",
        "paper writing",
        "readme_scope",
        "research",
        "research paper",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 46,
      "open_issues": 5,
      "watchers": 459,
      "size_kb": 417,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 31,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [
        "fcakyon/phd-skills"
      ],
      "rank": 183,
      "repo": "fcakyon/labrat",
      "stars": 457,
      "star_delta_1d": 1,
      "star_delta_7d": 9,
      "star_delta_30d": 9,
      "trend_score": 50.18,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.",
      "language": "Shell",
      "topics": [
        "academic",
        "agents",
        "ai",
        "claude",
        "claude-code",
        "claude-code-plugin",
        "claude-skills",
        "conference",
        "fable",
        "hooks",
        "journal",
        "mcp",
        "opus",
        "paper-reproduction",
        "paper-review",
        "phd",
        "plugin",
        "research",
        "research-skills",
        "skills"
      ],
      "created_date": "2026-03-11",
      "last_push_date": "2026-11-01",
      "url": "https://github.com/fcakyon/labrat",
      "homepage": "",
      "agents": [
        "claude-code",
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "research",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 38,
      "open_issues": 1,
      "watchers": 457,
      "size_kb": 151,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 11,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 184,
      "repo": "yushui2022/MathModel-Skill",
      "stars": 457,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.55,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Agent-native mathematical modeling workflow skills for Trae, Claude Code, and Codex, covering problem parsing, modeling, code generation, evidence checks, paper writing, and Word delivery.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-01-29",
      "last_push_date": "2026-10-24",
      "url": "https://github.com/yushui2022/MathModel-Skill",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "claude code",
        "paper",
        "readme_scope",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 30,
      "open_issues": 2,
      "watchers": 457,
      "size_kb": 20517,
      "default_branch": "standard",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 11,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 185,
      "repo": "jamditis/claude-skills-journalism",
      "stars": 451,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 48.37,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Claude Code skills for journalism, media, and academia - verification, FOIA, data journalism, academic writing, and more",
      "language": "Python",
      "topics": [
        "academic-writing",
        "claude",
        "claude-code",
        "claude-skills",
        "data-journalism",
        "fact-checking",
        "foia",
        "journalism",
        "media",
        "newsroom",
        "osint",
        "skills",
        "verification"
      ],
      "created_date": "2025-12-25",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/jamditis/claude-skills-journalism",
      "homepage": "https://skills.amditis.tech/",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "journal",
        "readme_scope",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": true,
      "forks": 71,
      "open_issues": 26,
      "watchers": 451,
      "size_kb": 14544,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 76,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 186,
      "repo": "Yeti-791/Awesome-Offensive-AI-Agentic-Landscape",
      "stars": 444,
      "star_delta_1d": 0,
      "star_delta_7d": 26,
      "star_delta_30d": 26,
      "trend_score": 60.74,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "This document curates open-source projects, academic papers, capability benchmarks, and commercial solutions (international & China) in AI penetration testing, LLM red teaming, autonomous offensive agents, and vulnerability discovery—aimed at helping researchers, security engineers, and enterprise decision-makers quickly form a holistic view.",
      "language": "",
      "topics": [
        "ai-benchmarks",
        "ai-hacking",
        "ai-pentesting",
        "ai-red-teaming",
        "ai-security",
        "autonomous-penetration",
        "awesome-list",
        "ctf",
        "cybersecurity",
        "hacking-agents",
        "hacking-tool",
        "intelligent-penetration",
        "llm-security",
        "offensive-ai",
        "offensive-security",
        "pentest",
        "pentest-tool",
        "redteam",
        "security-tools"
      ],
      "created_date": "2026-06-11",
      "last_push_date": "2026-09-10",
      "url": "https://github.com/Yeti-791/Awesome-Offensive-AI-Agentic-Landscape",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 54,
      "open_issues": 0,
      "watchers": 444,
      "size_kb": 437,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 187,
      "repo": "Chenruishuo/posterly",
      "stars": 437,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 45.31,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Build academic conference posters as a single HTML/CSS file, rendered to print-ready PDF via headless Chromium. A coding-agent skill.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-30",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/Chenruishuo/posterly",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "agent skill",
        "conference",
        "readme_scope",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 12,
      "open_issues": 0,
      "watchers": 437,
      "size_kb": 26770,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 188,
      "repo": "LimHyungTae/awesome-claudecode-paper-proofreading",
      "stars": 437,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 8,
      "trend_score": 42.37,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Claude Code-driven research paper proofreading prompt",
      "language": "",
      "topics": [],
      "created_date": "2026-03-09",
      "last_push_date": "2026-10-20",
      "url": "https://github.com/LimHyungTae/awesome-claudecode-paper-proofreading",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "claude code",
        "paper",
        "proofreading",
        "research",
        "roo",
        "trusted_seed"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 45,
      "open_issues": 0,
      "watchers": 437,
      "size_kb": 108,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 189,
      "repo": "Lupynow/math-modeling-skills",
      "stars": 437,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 19,
      "trend_score": 25.34,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "数学建模竞赛完整工具链：从拿到赛题到交出论文，一条龙解决。  覆盖 国赛 CUMCM（A/B/C） 和 美赛 MCM/ICM（A-F） 全部题型。",
      "language": "Python",
      "topics": [
        "claude-code",
        "claude-skill",
        "cumcm",
        "mathematical-modeling",
        "mcm-icm",
        "paper-writing"
      ],
      "created_date": "2026-05-23",
      "last_push_date": "2026-07-31",
      "url": "https://github.com/Lupynow/math-modeling-skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "paper",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 16,
      "open_issues": 0,
      "watchers": 437,
      "size_kb": 658,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 190,
      "repo": "CloudWave818/ieee-skills",
      "stars": 434,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 69,
      "trend_score": 39.58,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "面向 IEEE 风格论文写作、润色、审稿、实验、图表、LaTeX、引用和论文阅读的 Codex skills。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-07-14",
      "last_push_date": "2026-08-12",
      "url": "https://github.com/CloudWave818/ieee-skills",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "latex",
        "skill",
        "skills",
        "实验",
        "审稿",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 23,
      "open_issues": 1,
      "watchers": 434,
      "size_kb": 3638,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 10,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 191,
      "repo": "MLNLP-World/Paper-Rebuttal-Tips",
      "stars": 433,
      "star_delta_1d": 1,
      "star_delta_7d": 21,
      "star_delta_30d": 21,
      "trend_score": 61.39,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "MLNLP社区用来帮助大家论文Rebuttal的整理仓库。",
      "language": "",
      "topics": [
        "deeplearning",
        "large-language-models",
        "mlnlp"
      ],
      "created_date": "2026-06-26",
      "last_push_date": "2026-10-06",
      "url": "https://github.com/MLNLP-World/Paper-Rebuttal-Tips",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 36,
      "open_issues": 0,
      "watchers": 433,
      "size_kb": 5893,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 192,
      "repo": "cynicalight/NeoRead",
      "stars": 414,
      "star_delta_1d": 1,
      "star_delta_7d": 38,
      "star_delta_30d": 38,
      "trend_score": 96.02,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "NeoRead: a local-first EPUB/PDF reader with annotations, side-by-side translation, and AI assistance through Claude Code, Codex CLI, and Kimi CLI.",
      "language": "TypeScript",
      "topics": [
        "academic",
        "codex",
        "ebook-reader",
        "electron",
        "epub",
        "epub-reader",
        "local-first",
        "pdf-reader",
        "reader",
        "reading",
        "typescript"
      ],
      "created_date": "2026-10-03",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/cynicalight/NeoRead",
      "homepage": "https://neoread.app",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "codex",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 37,
      "open_issues": 41,
      "watchers": 414,
      "size_kb": 29886,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T02:03:55Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 193,
      "repo": "WenyuChiou/academic-writing-skills",
      "stars": 411,
      "star_delta_1d": 0,
      "star_delta_7d": 58,
      "star_delta_30d": 58,
      "trend_score": 109.7,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Skill for rigorous academic paper writing, revision, and submission. Field-agnostic with per-paper journal overrides.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-19",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/WenyuChiou/academic-writing-skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "journal",
        "paper",
        "paper review",
        "readme_scope",
        "skill",
        "skills",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 22,
      "open_issues": 0,
      "watchers": 411,
      "size_kb": 10285,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 6,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 194,
      "repo": "Rimagination/instsci",
      "stars": 411,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 32,
      "trend_score": 39.97,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "InstSci: academic paper retrieval with Open Access fallback and browser-backed institutional access for AI agents and CLI workflows.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-02",
      "last_push_date": "2026-09-29",
      "url": "https://github.com/Rimagination/instsci",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "retrieval",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 24,
      "open_issues": 1,
      "watchers": 411,
      "size_kb": 554,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 195,
      "repo": "DEEP-JLU/Awesome-Graph-Engineering",
      "stars": 401,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 53.3,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "A Survey on Ontology Engineering, Graph Engineering, Loop Engineering, Harness Engineering, Context Engineering and Prompt Engineering",
      "language": "",
      "topics": [
        "graph-engineering",
        "harness-engineering",
        "loop-engineering",
        "ontology-engineering",
        "system-intelligence"
      ],
      "created_date": "2026-08-20",
      "last_push_date": "2026-10-30",
      "url": "https://github.com/DEEP-JLU/Awesome-Graph-Engineering",
      "homepage": "https://arxiv.org/abs/2608.21156",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "research paper",
        "research papers",
        "survey"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 26,
      "open_issues": 2,
      "watchers": 401,
      "size_kb": 13563,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-30",
      "first_seen_at": "2026-10-30T08:55:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 196,
      "repo": "Achuan-2/illustrator_sci_toolbox",
      "stars": 390,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 46.01,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Adobe Illustrator 科研组图插件，支持复制粘贴相对位置、图片一键自动排列，一键添加子图label | Adobe Illustrator plugin, specifically designed for scientific illustration, supports copy-pasting with relative positioning, batch setting of shape dimensions, one-click automatic arrangement of images, and one-click addition of subplot labels.",
      "language": "TypeScript",
      "topics": [],
      "created_date": "2025-01-20",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/Achuan-2/illustrator_sci_toolbox",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "plugin",
        "readme_scope",
        "scientific",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 21,
      "open_issues": 1,
      "watchers": 390,
      "size_kb": 2491,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 197,
      "repo": "wp-a/nature-academic-search",
      "stars": 383,
      "star_delta_1d": 0,
      "star_delta_7d": 18,
      "star_delta_30d": 75,
      "trend_score": 55.36,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Academic Paper Search：中文科研用户的 Codex / Claude Code / DeepSeek Harness Skill + MCP；跨 CrossRef、PubMed、arXiv、OpenAlex、Europe PMC 检索去重，支持 MeSH、引用核验、引文图谱、试验检索与审计导出。",
      "language": "Python",
      "topics": [
        "academic-search",
        "agent-skills",
        "arxiv",
        "chinese",
        "citation-graph",
        "citation-management",
        "citation-verification",
        "claude-code",
        "clinicaltrials-gov",
        "codex",
        "crossref",
        "deepseek-harness",
        "europe-pmc",
        "literature-review",
        "mcp",
        "mesh",
        "openalex",
        "pubmed",
        "research-workflow",
        "semantic-scholar"
      ],
      "created_date": "2026-06-11",
      "last_push_date": "2026-10-01",
      "url": "https://github.com/wp-a/nature-academic-search",
      "homepage": "https://www.wpironman.top/2026/07/academic-paper-search-reproducible-literature-search/",
      "agents": [
        "claude-code",
        "codex",
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "literature",
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": true,
      "forks": 22,
      "open_issues": 7,
      "watchers": 383,
      "size_kb": 815,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 198,
      "repo": "SYSUSELab/academic-writing-guide",
      "stars": 383,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 24.27,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": " 一些关于写论文的教程,防止犯一些低级错误",
      "language": "",
      "topics": [],
      "created_date": "2021-05-08",
      "last_push_date": "2025-04-01",
      "url": "https://github.com/SYSUSELab/academic-writing-guide",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 60,
      "open_issues": 0,
      "watchers": 383,
      "size_kb": 29903,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 199,
      "repo": "crunz-ailab/nativePDF-structurer",
      "stars": 382,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 46.59,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "一个面向大体量数字原生 PDF 的、零 OCR、零模型依赖的文档结构化工具。  ",
      "language": "Python",
      "topics": [],
      "created_date": "2026-08-21",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/crunz-ailab/nativePDF-structurer",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 5,
      "open_issues": 0,
      "watchers": 382,
      "size_kb": 1196,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-08",
      "first_seen_at": "2026-11-08T09:20:25Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 200,
      "repo": "Aperivue/medsci-skills",
      "stars": 376,
      "star_delta_1d": 1,
      "star_delta_7d": 14,
      "star_delta_30d": 14,
      "trend_score": 57.4,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.",
      "language": "Python",
      "topics": [
        "agent-skills",
        "biostatistics",
        "claude-code",
        "claude-skills",
        "clinical-research",
        "codex",
        "cursor",
        "diagnostic-accuracy",
        "irb-protocol",
        "literature-review",
        "manuscript",
        "medical-ai",
        "medical-research",
        "meta-analysis",
        "physician-researcher",
        "prisma",
        "pubmed",
        "radiology",
        "reporting-guidelines",
        "systematic-review"
      ],
      "created_date": "2026-04-06",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/Aperivue/medsci-skills",
      "homepage": "https://aperivue.com/skills",
      "agents": [
        "claude-code",
        "codex",
        "cursor"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "citation",
        "literature",
        "manuscript",
        "readme_scope",
        "research",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 87,
      "open_issues": 4,
      "watchers": 376,
      "size_kb": 42414,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 63,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 201,
      "repo": "chtc66/academic-skills",
      "stars": 373,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 13,
      "trend_score": 22.98,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Academic workflow skills for paper reading, survey writing, experiment summarization, rebuttal drafting, and weekly lab updates.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-05",
      "last_push_date": "2026-04-05",
      "url": "https://github.com/chtc66/academic-skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "experiment",
        "paper",
        "skill",
        "skills",
        "survey",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 27,
      "open_issues": 1,
      "watchers": 373,
      "size_kb": 36,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 8,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 202,
      "repo": "IMNMV/ClaudeR",
      "stars": 370,
      "star_delta_1d": 1,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 49.37,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Connect RStudio to Claude Code, Codex, Gemini, and other LLM agents via MCP. Multi-agent orchestration, automated manuscript   auditing, and zero-config setup with uvx",
      "language": "Python",
      "topics": [
        "agent",
        "ai",
        "claude",
        "cli",
        "codex",
        "data-science",
        "gemini",
        "mcp",
        "model-context-protocol",
        "r",
        "rstudio",
        "rstudio-addin"
      ],
      "created_date": "2025-03-18",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/IMNMV/ClaudeR",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex",
        "gemini",
        "mcp"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "claude code",
        "codex",
        "manuscript",
        "mcp",
        "readme_scope",
        "science"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 40,
      "open_issues": 17,
      "watchers": 370,
      "size_kb": 1468,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:05:57Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 203,
      "repo": "duyunzhoudyz/dyz-med-paper-skills",
      "stars": 367,
      "star_delta_1d": 0,
      "star_delta_7d": 265,
      "star_delta_30d": 265,
      "trend_score": 368.0,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "医学论文写作与科研助手：面向中国医生和医学研究生的 32 个 Agent Skills，适用于 Claude Code、Codex，覆盖选题、PubMed 文献检索、中英写作、选刊投稿与审稿修回。Medical writing & research skills.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "agent-skills",
        "ai-agents",
        "biostatistics",
        "claude-code",
        "clinical-research",
        "codex",
        "literature-review",
        "manuscript",
        "medical-research",
        "medical-writing",
        "meta-analysis",
        "pubmed",
        "python",
        "research-workflow",
        "scientific-writing",
        "systematic-review",
        "translation"
      ],
      "created_date": "2026-11-01",
      "last_push_date": "2026-11-01",
      "url": "https://github.com/duyunzhoudyz/dyz-med-paper-skills",
      "homepage": "https://duyunzhoudyz.github.io/dyz-med-paper-skills/",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "agent skill",
        "literature",
        "manuscript",
        "paper",
        "readme_scope",
        "research",
        "skill",
        "skills",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 3,
      "open_issues": 0,
      "watchers": 367,
      "size_kb": 4859,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 32,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-03",
      "first_seen_at": "2026-11-03T03:54:51Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 204,
      "repo": "RayXBuilds/Deep-Learning-Papers-Reading-Roadmap",
      "stars": 345,
      "star_delta_1d": 1,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 42.21,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "深度学习论文阅读路线图",
      "language": "Python",
      "topics": [
        "deep-learning",
        "deep-neural-networks",
        "deep-reinforcement-learning",
        "papers",
        "tensorflow"
      ],
      "created_date": "2018-02-09",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/RayXBuilds/Deep-Learning-Papers-Reading-Roadmap",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 92,
      "open_issues": 0,
      "watchers": 345,
      "size_kb": 341671,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 205,
      "repo": "OpenRaiser/PaperFit",
      "stars": 338,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 38.77,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "📄 [Skill] Vision-in-the-loop LaTeX typesetting agent — auto-compile, render, diagnose, and fix paper layouts",
      "language": "Python",
      "topics": [
        "academic-paper",
        "agent",
        "automation",
        "claude-code",
        "codex",
        "cursor",
        "latex",
        "layout",
        "paper-writing",
        "pdf",
        "typesetting",
        "vision"
      ],
      "created_date": "2026-03-09",
      "last_push_date": "2026-11-03",
      "url": "https://github.com/OpenRaiser/PaperFit",
      "homepage": "https://openraiser.github.io/PaperFit/",
      "agents": [
        "claude-code",
        "codex",
        "cursor"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "codex",
        "cursor",
        "latex",
        "paper",
        "readme_scope",
        "skill",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 20,
      "open_issues": 2,
      "watchers": 338,
      "size_kb": 100617,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 10,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-04",
      "first_seen_at": "2026-11-04T06:53:33Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 206,
      "repo": "lzh-phd/topic-feasibility-screener",
      "stars": 335,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 23.48,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "有大致的想法不知道怎么选题？只要给这个skills扔点数据，他能自动帮你延伸出多个idea，检索文献，并帮你跑初步回归验证实证可行性和理论可行性，最后打分排名，让你的科研第一步不再难堪！",
      "language": "Python",
      "topics": [],
      "created_date": "2026-07-02",
      "last_push_date": "2026-07-04",
      "url": "https://github.com/lzh-phd/topic-feasibility-screener",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "phd",
        "skill",
        "skills",
        "文献",
        "科研"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 2,
      "open_issues": 4,
      "watchers": 335,
      "size_kb": 67,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 207,
      "repo": "zheng95z/teach-yourself-research",
      "stars": 335,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 2,
      "trend_score": 20.21,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "This repo is expected to help you develop basic research skills, including technical writing, paper reading, presentation, note-taking, etc.",
      "language": "",
      "topics": [
        "research"
      ],
      "created_date": "2021-05-25",
      "last_push_date": "2024-04-30",
      "url": "https://github.com/zheng95z/teach-yourself-research",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 12,
      "open_issues": 0,
      "watchers": 335,
      "size_kb": 52,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "cc0-1.0",
        "name": "Creative Commons Zero v1.0 Universal",
        "spdx_id": "CC0-1.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 208,
      "repo": "gulucaptain/Best-Paper-Writing-Skill",
      "stars": 333,
      "star_delta_1d": 8,
      "star_delta_7d": 150,
      "star_delta_30d": 150,
      "trend_score": 228.57,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "[Writing] Claude / Codex skill for drafting abstracts, introductions, methods and experiments in the style of CVPR/ICCV/NeurIPS best papers, distilled from 60 award-winning papers.",
      "language": "TeX",
      "topics": [
        "academic-writing",
        "agent-skills",
        "claude-skills",
        "codex",
        "cvpr",
        "eccv",
        "iccv",
        "iclr",
        "icml",
        "nips",
        "paper-writing"
      ],
      "created_date": "2026-10-28",
      "last_push_date": "2026-10-29",
      "url": "https://github.com/gulucaptain/Best-Paper-Writing-Skill",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "codex",
        "experiment",
        "paper",
        "papers",
        "readme_scope",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 19,
      "open_issues": 1,
      "watchers": 333,
      "size_kb": 19673,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 209,
      "repo": "LMDHQ-0420/ResearchPilot-Skills",
      "stars": 332,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 23,
      "trend_score": 42.05,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Automated Academic Research Workflow Skill. From direction exploration, literature review, and idea development to experiment design, code implementation, and paper writing.",
      "language": "Batchfile",
      "topics": [],
      "created_date": "2026-06-04",
      "last_push_date": "2026-10-27",
      "url": "https://github.com/LMDHQ-0420/ResearchPilot-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "literature",
        "paper",
        "research",
        "skill",
        "skills",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 6,
      "open_issues": 0,
      "watchers": 332,
      "size_kb": 2449,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 49,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 210,
      "repo": "skyming/awesome-ai-agent",
      "stars": 329,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 44.01,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI Agent 资源汇总，不限于基础概念、Harness 实践、RAG、测评基准、感知记忆、开源项目推荐、核心论文、开源项目等",
      "language": "",
      "topics": [],
      "created_date": "2025-03-24",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/skyming/awesome-ai-agent",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 60,
      "open_issues": 4,
      "watchers": 329,
      "size_kb": 594,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 211,
      "repo": "yipng05-max/-skills",
      "stars": 324,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 17,
      "trend_score": 22.5,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "由学术志联合创始人一平博士创立。涵盖学术科研各场景包括选题、文献综述、研究设计、数据收集、数据分析、期刊论文写作、博士论文写作、学术阅读等的高质量skills",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-07",
      "last_push_date": "2026-04-15",
      "url": "https://github.com/yipng05-max/-skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "skills",
        "学术",
        "文献",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 25,
      "open_issues": 1,
      "watchers": 324,
      "size_kb": 1572,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 37,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 212,
      "repo": "summarizepaper/summarizepaper",
      "stars": 317,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 45.9,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI tools for researchers: summaries and a chat that answer from the full text of papers (arXiv, bioRxiv, medRxiv, journals), collections with sourced comparison tables, daily digest, saved searches, rising topics, weekly letters, scoop watch, citation alerts, press kits, literature reviews and journal club slides.",
      "language": "Python",
      "topics": [
        "academic-research",
        "ai",
        "arxiv-api",
        "biorxiv",
        "chatbot",
        "citation-analysis",
        "django-channels",
        "django-project",
        "literature-review",
        "llms",
        "openai-api",
        "openalex",
        "paper-summarization",
        "python3",
        "rag",
        "research-papers",
        "research-tools",
        "science-communication",
        "scientific-research",
        "summarization-tool"
      ],
      "created_date": "2023-03-16",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/summarizepaper/summarizepaper",
      "homepage": "https://www.summarizepaper.com",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "literature review",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 45,
      "open_issues": 3,
      "watchers": 317,
      "size_kb": 110788,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T17:00:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 213,
      "repo": "ymx10086/ResearchClaw",
      "stars": 314,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 19.99,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "ResearchClaw is a personal AI assistant built for research: fast to set up, easy to run locally or in the cloud, and ready to integrate with the chat apps you already use. With extensible skills, it helps you streamline literature review, note-taking, experiment tracking, and paper writing—end to end.",
      "language": "Python",
      "topics": [
        "agent",
        "copaw",
        "openclaw",
        "personal",
        "research",
        "tools"
      ],
      "created_date": "2026-03-03",
      "last_push_date": "2026-04-04",
      "url": "https://github.com/ymx10086/ResearchClaw",
      "homepage": "https://ymx10086.github.io/ResearchClaw/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "assistant",
        "literature",
        "literature discovery",
        "paper",
        "readme_scope",
        "research",
        "research workflow",
        "review",
        "skill",
        "skills",
        "thesis"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 35,
      "open_issues": 12,
      "watchers": 314,
      "size_kb": 9186,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 18,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 214,
      "repo": "wentorai/research-plugins",
      "stars": 313,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 15,
      "trend_score": 24.78,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents",
      "language": "TypeScript",
      "topics": [],
      "created_date": "2026-03-09",
      "last_push_date": "2026-06-19",
      "url": "https://github.com/wentorai/research-plugins",
      "homepage": "",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "mcp",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 42,
      "open_issues": 0,
      "watchers": 313,
      "size_kb": 6252,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 473,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 215,
      "repo": "quacat748-droid/graduation-thesis-ai",
      "stars": 305,
      "star_delta_1d": 3,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 53.36,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "🔥🔥🔥毕业论文AI助手, AI毕业论文, 毕业论文写作, 开题报告, 文献综述, AI论文生成, 降AIGC率, 降重查重, 格式排版, 答辩PPT",
      "language": "",
      "topics": [
        "academic-writing",
        "ai-paper",
        "aigc",
        "chatgpt",
        "deepseek",
        "graduation-thesis",
        "paper-writing",
        "thesis"
      ],
      "created_date": "2026-11-03",
      "last_push_date": "2026-11-03",
      "url": "https://github.com/quacat748-droid/graduation-thesis-ai",
      "homepage": "https://www.wenfeiai.com",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "thesis",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 6,
      "open_issues": 0,
      "watchers": 305,
      "size_kb": 8293,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-05",
      "first_seen_at": "2026-11-05T09:48:29Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 216,
      "repo": "1195343015/nwputhesis",
      "stars": 305,
      "star_delta_1d": 1,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 37.62,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "西北工业大学本科毕业设计/硕士博士学位论文 LaTeX 模板 （2026）",
      "language": "TeX",
      "topics": [
        "latex",
        "npu",
        "nwpu",
        "thesis"
      ],
      "created_date": "2026-03-12",
      "last_push_date": "2026-10-04",
      "url": "https://github.com/1195343015/nwputhesis",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "latex",
        "missing_skill_signal",
        "phd",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 86,
      "open_issues": 1,
      "watchers": 305,
      "size_kb": 4156,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "gpl-3.0",
        "name": "GNU General Public License v3.0",
        "spdx_id": "GPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 217,
      "repo": "hrdZhu/modelviz-skill",
      "stars": 295,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 9,
      "trend_score": 26.25,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "AI科研skill可视化绘图：ModelViz 是一个面向建模与科研写作场景的可视化 Skill。项目内置上百个覆盖多种建模场景的高质量科研绘图模板，将不同功能的图表按统一类别和编号管理，并确保模板源码可独立运行、稳定输出图片。后续系统将通过结构化模板信息、数据特征分析与检索规则，根据用户上传的数据和自然语言需求，推荐适合的图表类型、字段映射与配色方案，再调用对应模板生成可复现的 PNG、SVG 或 PDF 图像。项目重点解决通用大模型直接生成绘图代码时风格不统一、运行不稳定、参数难复用等问题，强调模板驱动、配置清晰、结果可复现和科研表达规范。",
      "language": "Python",
      "topics": [
        "claude-code",
        "codex",
        "data-visualization",
        "mathematical-modeling",
        "scientific-visualization",
        "skill"
      ],
      "created_date": "2026-07-14",
      "last_push_date": "2026-07-19",
      "url": "https://github.com/hrdZhu/modelviz-skill",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "codex",
        "scientific",
        "skill",
        "复现",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 6,
      "open_issues": 0,
      "watchers": 295,
      "size_kb": 166599,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 218,
      "repo": "N-allpass/modex-mh-agent",
      "stars": 293,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 29.89,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Modex · MH Agent — AI 全自动数学建模智能体,兼顾科研全流程:从赛题到竞赛级论文一夜跑完,国赛/美赛/华为杯全覆盖(架构展示)",
      "language": "",
      "topics": [],
      "created_date": "2026-08-14",
      "last_push_date": "2026-08-14",
      "url": "https://github.com/N-allpass/modex-mh-agent",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 0,
      "open_issues": 0,
      "watchers": 293,
      "size_kb": 370,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 219,
      "repo": "cpt13-g/clarify-research-idea",
      "stars": 289,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 45,
      "trend_score": 34.18,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Turn vague research directions into falsifiable, evidence-grounded Research Idea Briefs with a six-stage Codex workflow.",
      "language": "",
      "topics": [
        "academic-research",
        "ai-research",
        "codex",
        "codex-skills",
        "research-idea",
        "research-workflow",
        "scientific-method"
      ],
      "created_date": "2026-07-26",
      "last_push_date": "2026-07-26",
      "url": "https://github.com/cpt13-g/clarify-research-idea",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "research",
        "scientific",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 7,
      "open_issues": 0,
      "watchers": 289,
      "size_kb": 1668,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 220,
      "repo": "maxwell2732/codex-stata-for-economists",
      "stars": 287,
      "star_delta_1d": 0,
      "star_delta_7d": 9,
      "star_delta_30d": 30,
      "trend_score": 30.48,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "A Codex Stata pipeline for Economists by 朱晨 | 遗传社科研究",
      "language": "Stata",
      "topics": [],
      "created_date": "2026-04-29",
      "last_push_date": "2026-06-02",
      "url": "https://github.com/maxwell2732/codex-stata-for-economists",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "pipeline",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 463,
      "open_issues": 1,
      "watchers": 287,
      "size_kb": 7073,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 19,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 221,
      "repo": "jarrycyx/openlens-ai",
      "stars": 284,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 27.05,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "OpenLens AI: A Fully Autonomous Multimodal Research Agent｜ OpenLens AI：全自主多模态科研智能体",
      "language": "Python",
      "topics": [
        "agent",
        "llms",
        "medical-ai"
      ],
      "created_date": "2025-08-21",
      "last_push_date": "2026-09-09",
      "url": "https://github.com/jarrycyx/openlens-ai",
      "homepage": "https://openlens.icu/",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper writing",
        "readme_scope",
        "research",
        "research paper",
        "research papers",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 5,
      "watchers": 284,
      "size_kb": 15142,
      "default_branch": "release",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 222,
      "repo": "Fchaubard/autoresearcherUI",
      "stars": 281,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 39.42,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Autoresearcher + wandb + datadog + overleaf + claude code. All local, all free. Boot a node, git clone, fill the form, let it rip.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-28",
      "last_push_date": "2026-10-30",
      "url": "https://github.com/Fchaubard/autoresearcherUI",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "claude code",
        "literature review",
        "missing_strong_academic_signal",
        "readme_scope",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 33,
      "open_issues": 0,
      "watchers": 281,
      "size_kb": 12190,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 223,
      "repo": "zouchenzhen/thesis-defense-pptx-skill",
      "stars": 280,
      "star_delta_1d": 1,
      "star_delta_7d": 0,
      "star_delta_30d": 13,
      "trend_score": 40.54,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Codex / Claude Skill for editable thesis-defense PPTX from PDF or LaTeX while preserving a PowerPoint template. 从论文 PDF / LaTeX 生成可编辑答辩 PPTX，并保留指定 PPT 模板风格。",
      "language": "Python",
      "topics": [
        "agent-skill",
        "chinese",
        "claude-skill",
        "codex-skill",
        "latex",
        "office-automation",
        "pdf",
        "powerpoint",
        "pptx",
        "presentation",
        "python-pptx",
        "template-matching",
        "thesis-defense"
      ],
      "created_date": "2026-04-30",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/zouchenzhen/thesis-defense-pptx-skill",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "latex",
        "skill",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 19,
      "open_issues": 1,
      "watchers": 280,
      "size_kb": 3629,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 224,
      "repo": "jihe520/sci-box",
      "stars": 277,
      "star_delta_1d": 1,
      "star_delta_7d": 5,
      "star_delta_30d": 28,
      "trend_score": 29.86,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "sci-box 提供一组可直接调用的科研绘图复刻模板，帮助 Agent 快速生成高质量图表。sci-box provides a set of directly callable scientific drawing replication templates to help Agents quickly generate high-quality charts.",
      "language": "Python",
      "topics": [
        "rearch",
        "science",
        "skills"
      ],
      "created_date": "2026-07-01",
      "last_push_date": "2026-08-17",
      "url": "https://github.com/jihe520/sci-box",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "science",
        "scientific",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 18,
      "open_issues": 0,
      "watchers": 277,
      "size_kb": 15200,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 225,
      "repo": "yunshenwuchuxun/latex-paper-skills",
      "stars": 275,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 37.14,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "A modular skill-based framework for writing, revising, and managing LaTeX academic papers with AI assistance.",
      "language": "TeX",
      "topics": [],
      "created_date": "2026-03-18",
      "last_push_date": "2026-10-14",
      "url": "https://github.com/yunshenwuchuxun/latex-paper-skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "latex",
        "literature search",
        "paper",
        "papers",
        "readme_scope",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 23,
      "open_issues": 0,
      "watchers": 275,
      "size_kb": 3113,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 9,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 226,
      "repo": "FeijiangHan/CSU-CS-review-materials",
      "stars": 271,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 38.93,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "CSU - CS期末备考复习资料；中南大学计科&计算机复习; Review material; Central South University",
      "language": "HTML",
      "topics": [
        "central-south-university",
        "computer-science-education",
        "csu",
        "final-exam"
      ],
      "created_date": "2023-09-10",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/FeijiangHan/CSU-CS-review-materials",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "review",
        "science",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 22,
      "open_issues": 0,
      "watchers": 271,
      "size_kb": 871145,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-09",
      "first_seen_at": "2026-11-09T10:05:07Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 227,
      "repo": "Haimbeau1o/thesis-optimizer",
      "stars": 270,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 21.86,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "学术论文智能优化系统 - 三维协同优化：降AI检测率、降查重率、学术润色提升 | Intelligent thesis optimization system for AI detection reduction, plagiarism reduction, and academic polishing",
      "language": "",
      "topics": [],
      "created_date": "2026-02-04",
      "last_push_date": "2026-04-27",
      "url": "https://github.com/Haimbeau1o/thesis-optimizer",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "thesis",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 15,
      "open_issues": 2,
      "watchers": 270,
      "size_kb": 2203,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 228,
      "repo": "ai4s-research/ai4s-skills",
      "stars": 268,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 28.39,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.",
      "language": "Python",
      "topics": [
        "agent-skills",
        "ai-agent",
        "ai-for-science",
        "ai-scientist",
        "ai4s",
        "claude-code",
        "claude-skills",
        "literature-review",
        "open-science",
        "opencode",
        "paper-writing",
        "reproducible-research",
        "research-tools",
        "scientific-research"
      ],
      "created_date": "2026-06-27",
      "last_push_date": "2026-07-28",
      "url": "https://github.com/ai4s-research/ai4s-skills",
      "homepage": "",
      "agents": [
        "claude-code",
        "opencode"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "literature",
        "paper",
        "readme_scope",
        "research",
        "research paper",
        "skill",
        "skills",
        "survey"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 25,
      "open_issues": 0,
      "watchers": 268,
      "size_kb": 3367,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 7,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 229,
      "repo": "THESIS-AGENT/thesis-agent-demo",
      "stars": 265,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 19.4,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "一个基于多个大语言模型的智能学术范文写作系统，能够根据输入的开题报告或研究设计文档，自动生成包含引用的学术范文的各章节内容。",
      "language": "Python",
      "topics": [],
      "created_date": "2025-06-10",
      "last_push_date": "2025-07-14",
      "url": "https://github.com/THESIS-AGENT/thesis-agent-demo",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper writing",
        "readme_scope",
        "thesis",
        "学术",
        "引用",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 51,
      "open_issues": 1,
      "watchers": 265,
      "size_kb": 51,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 230,
      "repo": "GAI4SE/LLM4SE",
      "stars": 261,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 19.35,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Large Language Models for Software Engineering",
      "language": "Python",
      "topics": [],
      "created_date": "2023-04-24",
      "last_push_date": "2025-07-24",
      "url": "https://github.com/GAI4SE/LLM4SE",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "literature search",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 23,
      "open_issues": 2,
      "watchers": 261,
      "size_kb": 14234,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-02",
      "first_seen_at": "2026-11-02T09:50:45Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 231,
      "repo": "Dictation354/paper-fetch-skill",
      "stars": 259,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 48.68,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Fetch papers as agent-ready markdown — DOI/URL/title in, structured full text out. CLI · MCP · Skill.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-04-10",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/Dictation354/paper-fetch-skill",
      "homepage": "",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "doi",
        "mcp",
        "missing_high_confidence_academic_signal",
        "paper",
        "papers",
        "readme_scope",
        "skill",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 30,
      "open_issues": 2,
      "watchers": 259,
      "size_kb": 626939,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-31",
      "first_seen_at": "2026-10-31T03:03:15Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 232,
      "repo": "toddmaustin/research-prompts",
      "stars": 259,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 37.17,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI prompts for accelerating the research workflow.",
      "language": "",
      "topics": [],
      "created_date": "2026-02-15",
      "last_push_date": "2026-10-15",
      "url": "https://github.com/toddmaustin/research-prompts",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "research paper",
        "research papers",
        "research workflow",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 40,
      "open_issues": 0,
      "watchers": 259,
      "size_kb": 685,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 233,
      "repo": "0Antique/Auto-Visio-Helper",
      "stars": 258,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 14,
      "trend_score": 24.36,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "用于帮助Codex操作本地Visio生成可编辑科研绘图的skill，支持自然语言转图、图片复现、JVSDX 生成和预览导出。欢迎大家使用~~",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-05",
      "last_push_date": "2026-06-05",
      "url": "https://github.com/0Antique/Auto-Visio-Helper",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "skill",
        "复现",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 9,
      "open_issues": 0,
      "watchers": 258,
      "size_kb": 6985,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 234,
      "repo": "dream-rec/dreampaper",
      "stars": 255,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 38.12,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "高质量科研论文插图与演示文稿制作Agent",
      "language": "Rust",
      "topics": [],
      "created_date": "2026-07-29",
      "last_push_date": "2026-10-08",
      "url": "https://github.com/dream-rec/dreampaper",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 24,
      "open_issues": 0,
      "watchers": 255,
      "size_kb": 100771,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 235,
      "repo": "Deepshare-Official/CCF-Figure",
      "stars": 253,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 29.76,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "CCF-Figure —— 为 AI / 计算机科学论文自动生成顶会级科研配图的智能助手。",
      "language": "",
      "topics": [],
      "created_date": "2026-06-15",
      "last_push_date": "2026-06-15",
      "url": "https://github.com/Deepshare-Official/CCF-Figure",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "research paper",
        "research papers",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 0,
      "watchers": 253,
      "size_kb": 43,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 236,
      "repo": "brycewang-stanford/Auto-Research-Skills",
      "stars": 251,
      "star_delta_1d": 2,
      "star_delta_7d": 13,
      "star_delta_30d": 54,
      "trend_score": 55.52,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文，全程自动完成。",
      "language": "Python",
      "topics": [
        "academic-research",
        "agent-skills",
        "ai-agents",
        "ai-scientist",
        "anthropic",
        "auto-research",
        "autonomous-agents",
        "awesome-list",
        "causal-inference",
        "claude",
        "claude-code",
        "data-analysis",
        "deep-research",
        "literature-review",
        "llm-agents",
        "machine-learning",
        "paper-writing",
        "reproducible-research",
        "research-automation",
        "scientific-computing"
      ],
      "created_date": "2026-05-27",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/brycewang-stanford/Auto-Research-Skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "literature",
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 20,
      "open_issues": 0,
      "watchers": 251,
      "size_kb": 17032,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "cc0-1.0",
        "name": "Creative Commons Zero v1.0 Universal",
        "spdx_id": "CC0-1.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 237,
      "repo": "liwg1995/YuduBid",
      "stars": 250,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 42.91,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "自动编写技术标书、公文、软著、专利、项目管理、课题申报、引导论文编写",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2026-06-04",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/liwg1995/YuduBid",
      "homepage": "https://bid.olei.me",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "文献综述",
        "科研",
        "论文",
        "课题"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 7,
      "open_issues": 1,
      "watchers": 250,
      "size_kb": 90291,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 238,
      "repo": "SNL-UCSB/paper-writing-skill",
      "stars": 249,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 15,
      "trend_score": 39.42,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A Claude Code skill that encodes battle-tested editorial principles, section-specific rhetorical moves, and a structured writing pipeline for research papers. Brainstorm → Draft 0 → Evaluate → Write → Compress.",
      "language": "Shell",
      "topics": [
        "academic-writing",
        "claude-code",
        "paper-writing",
        "phd",
        "research"
      ],
      "created_date": "2026-03-25",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/SNL-UCSB/paper-writing-skill",
      "homepage": "https://sites.cs.ucsb.edu/~arpitgupta/",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "papers",
        "pipeline",
        "research",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 17,
      "open_issues": 2,
      "watchers": 249,
      "size_kb": 241,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 239,
      "repo": "Haojae/scipilot-writing-skill",
      "stars": 242,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 14,
      "trend_score": 23.6,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "SciPilot family: academic writing and polishing co-pilot, with a machine-checked writing-quality evidence chain (AI-tell linter + reviewer self-check loop).",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-15",
      "last_push_date": "2026-06-15",
      "url": "https://github.com/Haojae/scipilot-writing-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "review",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 18,
      "open_issues": 0,
      "watchers": 242,
      "size_kb": 59,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 240,
      "repo": "YCC-Lover/research-starter-skills",
      "stars": 237,
      "star_delta_1d": 0,
      "star_delta_7d": 136,
      "star_delta_30d": 136,
      "trend_score": 209.55,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "面向科研新手的 Codex 科研协作技能集：选题、文献检索与阅读、论文写作、自然润色、审稿返修和可编辑学术汇报。结合 Research-Starter-Kit 原创教程，用 1 个总入口与 6 个专业模块推进研究。 Research training, writing & editable presentations for Codex.",
      "language": "Python",
      "topics": [
        "academic-presentations",
        "academic-research",
        "academic-writing",
        "agent-skills",
        "codex",
        "codex-skills",
        "graduate-research",
        "literature-review",
        "paper-writing",
        "powerpoint",
        "reproducible-research",
        "research-assistant",
        "research-skills",
        "research-starter-kit",
        "research-training",
        "research-workflow",
        "scientific-workflow",
        "scientific-writing",
        "systematic-review",
        "thesis-writing"
      ],
      "created_date": "2026-10-05",
      "last_push_date": "2026-10-31",
      "url": "https://github.com/YCC-Lover/research-starter-skills",
      "homepage": "https://github.com/YCC-Lover/research-starter-skills/blob/main/docs/README.md",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "codex",
        "literature",
        "paper",
        "readme_scope",
        "research",
        "research starter",
        "skill",
        "skills",
        "学术",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 0,
      "open_issues": 0,
      "watchers": 237,
      "size_kb": 27252,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 7,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-03",
      "first_seen_at": "2026-11-03T09:53:13Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 241,
      "repo": "Algorineko/AgenticArXiv-RL",
      "stars": 236,
      "star_delta_1d": 0,
      "star_delta_7d": 5,
      "star_delta_30d": 5,
      "trend_score": 45.25,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Staged SFT→DPO→GRPO/OPD reinforcement learning pipeline for training a ReAct tool-use agent on arXiv paper retrieval tasks, with a deterministic snapshot-replay environment.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-21",
      "last_push_date": "2026-10-31",
      "url": "https://github.com/Algorineko/AgenticArXiv-RL",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "arxiv",
        "missing_high_confidence_academic_signal",
        "paper",
        "pipeline",
        "readme_scope",
        "retrieval",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 85,
      "open_issues": 2,
      "watchers": 236,
      "size_kb": 10448,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 242,
      "repo": "andrehuang/academic-writing-agents",
      "stars": 235,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 20.18,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Claude Code plugin: multi-agent orchestrator with 10 specialist agents for academic writing review, research, drafting, and polishing",
      "language": "",
      "topics": [],
      "created_date": "2026-03-26",
      "last_push_date": "2026-05-11",
      "url": "https://github.com/andrehuang/academic-writing-agents",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "paper writing",
        "peer review",
        "plugin",
        "readme_scope",
        "research",
        "review"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 22,
      "open_issues": 1,
      "watchers": 235,
      "size_kb": 93,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 243,
      "repo": "franklee16/academic-research-skills",
      "stars": 234,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 29.61,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences",
      "language": "Stata",
      "topics": [],
      "created_date": "2026-04-19",
      "last_push_date": "2026-09-18",
      "url": "https://github.com/franklee16/academic-research-skills",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "literature review",
        "paper writing",
        "readme_scope",
        "research",
        "science",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 36,
      "open_issues": 1,
      "watchers": 234,
      "size_kb": 133683,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 2135,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 244,
      "repo": "stephenlzc/AI-Powered-Literature-Review-Skills",
      "stars": 233,
      "star_delta_1d": 2,
      "star_delta_7d": 11,
      "star_delta_30d": 56,
      "trend_score": 37.98,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "AI驱动的系统性学术文献回顾工具 | AI-Powered Literature Survey Tool with 8-Phase Workflow & Agent Swarm Architecture",
      "language": "Python",
      "topics": [
        "academic-papers",
        "academic-research",
        "ai-agent",
        "bibliography",
        "citation",
        "kimi-skill",
        "literature-review",
        "python",
        "research-tools"
      ],
      "created_date": "2026-03-05",
      "last_push_date": "2026-09-07",
      "url": "https://github.com/stephenlzc/AI-Powered-Literature-Review-Skills",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "papers",
        "research",
        "skill",
        "skills",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 27,
      "open_issues": 0,
      "watchers": 233,
      "size_kb": 449,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "pending",
      "metadata_checked_at": "2026-11-04T06:43:54Z",
      "pending_reason": "http_404",
      "previous_names": [],
      "rank": 245,
      "repo": "GuoZheng-de-BaBa/nursing-research-skills",
      "stars": 231,
      "star_delta_1d": 0,
      "star_delta_7d": 54,
      "star_delta_30d": 54,
      "trend_score": 113.06,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "护研搭子｜18个开源护理科研AI技能，覆盖检索、设计、数据、统计、写作与图表；新增队列研究和RCT流程、模板及合成示例。",
      "language": "Python",
      "topics": [
        "agent-skills",
        "codex",
        "cross-sectional-study",
        "evidence-based-practice",
        "literature-review",
        "nursing",
        "nursing-research",
        "python",
        "research-integrity",
        "scientific-visualization",
        "scientific-writing",
        "svg",
        "systematic-review"
      ],
      "created_date": "2026-10-30",
      "last_push_date": "2026-11-01",
      "url": "https://github.com/GuoZheng-de-BaBa/nursing-research-skills",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "codex",
        "literature",
        "manuscript",
        "readme_scope",
        "research",
        "review",
        "scientific",
        "skill",
        "skills",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 4,
      "open_issues": 0,
      "watchers": 231,
      "size_kb": 681,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": null,
      "skills_count_complete": false,
      "repository_kind": "unknown",
      "first_seen_date": "2026-11-02",
      "first_seen_at": "2026-11-02T03:20:20Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 246,
      "repo": "AfrozSaqlain/Papr",
      "stars": 229,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 57.07,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Papr is a fast terminal-based workspace written in Rust. Get daily new papers in your feed from your field of research, search, discover, and download papers directly from arXiv. Organize your library, manage reading queues, take notes,  track stats to keep your research organized and create latex/typst projects; all without leaving your terminal.",
      "language": "Rust",
      "topics": [],
      "created_date": "2026-07-12",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/AfrozSaqlain/Papr",
      "homepage": "https://saqlain-afroz.vercel.app/about",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "arxiv",
        "manuscript",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 12,
      "open_issues": 1,
      "watchers": 229,
      "size_kb": 161529,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 247,
      "repo": "O0000-code/paper-search-pro",
      "stars": 229,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 38.02,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Academic literature discovery as a Skill — Claude Code · Codex · any agent that loads SKILL.md. Five sources · four tiers · single-file Shadcn report.",
      "language": "HTML",
      "topics": [
        "academic-research",
        "agent-skill",
        "arxiv",
        "claude-code-skill",
        "codex",
        "literature-search",
        "openalex",
        "prisma-s",
        "pubmed",
        "semantic-scholar",
        "shadcn-ui",
        "systematic-review"
      ],
      "created_date": "2026-05-24",
      "last_push_date": "2026-11-03",
      "url": "https://github.com/O0000-code/paper-search-pro",
      "homepage": "https://o0000-code.github.io/paper-search-pro/",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "codex",
        "literature",
        "literature discovery",
        "literature search",
        "paper",
        "readme_scope",
        "research",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 16,
      "open_issues": 0,
      "watchers": 229,
      "size_kb": 24428,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-04",
      "first_seen_at": "2026-11-04T06:53:33Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 248,
      "repo": "hzysvilla/Academic_LLM_Sec_Papers",
      "stars": 226,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 18.85,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Academic Papers about LLM Application on Security",
      "language": "",
      "topics": [],
      "created_date": "2024-03-23",
      "last_push_date": "2026-03-26",
      "url": "https://github.com/hzysvilla/Academic_LLM_Sec_Papers",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature review",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 13,
      "open_issues": 0,
      "watchers": 226,
      "size_kb": 69,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 249,
      "repo": "Takamatsu-Hikaru/AI-Research-Guide",
      "stars": 220,
      "star_delta_1d": 0,
      "star_delta_7d": 11,
      "star_delta_30d": 11,
      "trend_score": 59.53,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "AI 科研入门指南：大学选择、科研 60 问、入门项目、学习路线与论文卡片。A bilingual guide to getting started in AI research.",
      "language": "JavaScript",
      "topics": [
        "ai",
        "chinese",
        "education",
        "getting-started",
        "machine-learning",
        "research"
      ],
      "created_date": "2026-10-05",
      "last_push_date": "2026-11-01",
      "url": "https://github.com/Takamatsu-Hikaru/AI-Research-Guide",
      "homepage": "https://takamatsu-hikaru.github.io/AI-Research-Guide/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 0,
      "watchers": 220,
      "size_kb": 70206,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 250,
      "repo": "juliaError/econ-TopJournal-writing-Skill",
      "stars": 219,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 14,
      "trend_score": 39.78,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "econ-TopJournal-writing-Skill",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-12",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/juliaError/econ-TopJournal-writing-Skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "journal",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 32,
      "open_issues": 2,
      "watchers": 219,
      "size_kb": 980,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 5,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-10",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 251,
      "repo": "ozrwayne/rw-research-skill",
      "stars": 219,
      "star_delta_1d": 1,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 37.64,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Twelve standalone research workflow skills for questions, literature, evidence, design, writing, and submission.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-07-11",
      "last_push_date": "2026-09-27",
      "url": "https://github.com/ozrwayne/rw-research-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "literature",
        "missing_high_confidence_academic_signal",
        "phd",
        "readme_scope",
        "research",
        "skill",
        "skills",
        "workflow",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 23,
      "open_issues": 2,
      "watchers": 219,
      "size_kb": 993,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 23,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 252,
      "repo": "LocoWiki/LocoWiki",
      "stars": 217,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 40.1,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "机器人运控学习指南，涵盖赛题、知识库、论文学习资源。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-01-20",
      "last_push_date": "2026-10-26",
      "url": "https://github.com/LocoWiki/LocoWiki",
      "homepage": "https://locowiki.github.io/",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 2,
      "watchers": 217,
      "size_kb": 245193,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 253,
      "repo": "yanlin-cheng/skill-thesis-writer",
      "stars": 217,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 8,
      "trend_score": 23.51,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": " 一个专为本科/研究生论文写作设计的AI技能，支持工科、心理学、教育学、管理学等多学科领域，提供符合中国学术规范（GB/T 7714-2015）的论文写作、数据分析、参考文献管理一体化解决方案。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-03",
      "last_push_date": "2026-04-13",
      "url": "https://github.com/yanlin-cheng/skill-thesis-writer",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "thesis",
        "学术",
        "文献",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 11,
      "open_issues": 1,
      "watchers": 217,
      "size_kb": 120,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mulanpsl-2.0",
        "name": "Mulan Permissive Software License, Version 2",
        "spdx_id": "MulanPSL-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 254,
      "repo": "ShZhao27208/Aut_Sci_Write",
      "stars": 217,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 7,
      "trend_score": 22.58,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": " Academic research skills suite for AI Agent — literature search/download (WoS+Elsevier+Springer), PDF   extraction, figure cropping, review writing, Zotero sync, and PPT/Html generation. ",
      "language": "Python",
      "topics": [
        "academic-research",
        "agent",
        "claude-code",
        "codex",
        "llm-tools",
        "openclaw",
        "opencode",
        "pptx",
        "skills",
        "zotero"
      ],
      "created_date": "2026-04-06",
      "last_push_date": "2026-08-13",
      "url": "https://github.com/ShZhao27208/Aut_Sci_Write",
      "homepage": "https://shzhao27208.github.io/Aut_Sci_Write/",
      "agents": [
        "claude-code",
        "codex",
        "opencode"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "literature",
        "research",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 2,
      "watchers": 217,
      "size_kb": 59476,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 9,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 255,
      "repo": "zhpmatrix/PaperReading",
      "stars": 215,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.95,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "每天阅读过的论文的简要笔记",
      "language": "",
      "topics": [
        "paper-reading",
        "paper-weekly"
      ],
      "created_date": "2019-04-07",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/zhpmatrix/PaperReading",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 0,
      "watchers": 215,
      "size_kb": 16426,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-03",
      "first_seen_at": "2026-11-03T09:53:13Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 256,
      "repo": "paperseek/paperseek",
      "stars": 213,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 39.46,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "PaperSeek is an open-source, AI-powered literature search tool for researchers. It helps turn your research question into search queries, discover papers across academic sources, and organize the results for review.",
      "language": "Python",
      "topics": [
        "literature",
        "literature-review",
        "literature-search",
        "paper",
        "research"
      ],
      "created_date": "2026-06-02",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/paperseek/paperseek",
      "homepage": "https://docs.paperseek.app/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "bibliometric",
        "literature search",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 16,
      "open_issues": 4,
      "watchers": 213,
      "size_kb": 29007,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 5,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 257,
      "repo": "helloo1568/slidemuse",
      "stars": 208,
      "star_delta_1d": 2,
      "star_delta_7d": 28,
      "star_delta_30d": 28,
      "trend_score": 77.62,
      "trend": {
        "id": "hot",
        "zh": "热门上升",
        "en": "Hot"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "将 PDF、论文、报告与笔记制作成风格统一的图片 PPT，按需还原为可编辑 PPTX。用于工作汇报、教学培训、学术分享、竞赛答辩、产品路演与创意展示。",
      "language": "Python",
      "topics": [
        "academic-competition",
        "agent-skill",
        "agent-skills",
        "ai-presentation",
        "ai-skill",
        "ai-slides",
        "case-competition",
        "codex",
        "competition-defense",
        "competition-presentation",
        "editable-pptx",
        "image-to-pptx",
        "pitch-deck",
        "powerpoint",
        "ppt",
        "pptx",
        "presentation-generation",
        "slide-generation",
        "teaching-award",
        "vocational-skills"
      ],
      "created_date": "2026-08-08",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/helloo1568/slidemuse",
      "homepage": "https://github.com/helloo1568/slidemuse",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "codex",
        "readme_scope",
        "skill",
        "skills",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 20,
      "open_issues": 0,
      "watchers": 208,
      "size_kb": 167405,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 258,
      "repo": "STRYXTN/awesome-ai-research-writing",
      "stars": 207,
      "star_delta_1d": 2,
      "star_delta_7d": 9,
      "star_delta_30d": 20,
      "trend_score": 29.34,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "来自顶尖研究机构的 AI 论文写作 Prompt 模板库与 Agent Skills 集合 ✨",
      "language": "HTML",
      "topics": [],
      "created_date": "2026-04-13",
      "last_push_date": "2026-04-13",
      "url": "https://github.com/STRYXTN/awesome-ai-research-writing",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "agent skill",
        "research",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 15,
      "open_issues": 1,
      "watchers": 207,
      "size_kb": 15325,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 259,
      "repo": "congcongwang0122/zotero-skill",
      "stars": 201,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 21.39,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "「帮我整理总结一下 Zotero 中 XXX 栏所有的文献，并生成一个一万字的综述」**—— 这句话，现在真的可以被实现了。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-03",
      "last_push_date": "2026-08-14",
      "url": "https://github.com/congcongwang0122/zotero-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "文献",
        "综述"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 5,
      "open_issues": 1,
      "watchers": 201,
      "size_kb": 290,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 260,
      "repo": "Epsilon617/Codex-Academic-Skills",
      "stars": 197,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 19.57,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A curated list of research-oriented skills usable in OpenAI Codex, covering writing, literature review, evaluation, and research workflows.",
      "language": "Python",
      "topics": [
        "academic-research",
        "academic-writing",
        "agent-skills",
        "literature-review",
        "openai-codex",
        "research-workflow"
      ],
      "created_date": "2026-03-08",
      "last_push_date": "2026-06-16",
      "url": "https://github.com/Epsilon617/Codex-Academic-Skills",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "codex",
        "literature",
        "literature review",
        "readme_scope",
        "research",
        "research workflow",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 2,
      "watchers": 197,
      "size_kb": 72,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 261,
      "repo": "DQXCJ-a11y/thesis-skill-hub",
      "stars": 195,
      "star_delta_1d": 1,
      "star_delta_7d": 4,
      "star_delta_30d": 20,
      "trend_score": 23.14,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "硕士论文审查与写作SKILL聚合项目 | 持续收录GitHub上最优质的论文写作skill并归纳为一份可直接使用的SKILL.md",
      "language": "",
      "topics": [],
      "created_date": "2026-03-10",
      "last_push_date": "2026-03-16",
      "url": "https://github.com/DQXCJ-a11y/thesis-skill-hub",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "thesis",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 17,
      "open_issues": 1,
      "watchers": 195,
      "size_kb": 133,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 262,
      "repo": "EastForce/worker-ai-spark",
      "stars": 194,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 40.71,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "开源劳动者AI研究与评测项目：建设劳动知识、公开评测基准与共同治理机制｜Open worker-centered AI research and evaluation project.",
      "language": "Python",
      "topics": [
        "ai-benchmark",
        "ai-ethics",
        "ai-evaluation",
        "ai-governance",
        "algorithmic-management",
        "labor-rights",
        "labor-studies",
        "open-source-ai",
        "responsible-ai",
        "worker-ai",
        "worker-centered-ai",
        "workers-rights",
        "working-class",
        "working-class-ai"
      ],
      "created_date": "2026-07-26",
      "last_push_date": "2026-10-30",
      "url": "https://github.com/EastForce/worker-ai-spark",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 16,
      "open_issues": 0,
      "watchers": 194,
      "size_kb": 1198,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-31",
      "first_seen_at": "2026-10-31T03:03:15Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 263,
      "repo": "vanthree31/PaperLens",
      "stars": 192,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 35.08,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI-Powered Research Assistant for Academic Paper Discovery, Analysis, and Citation Intelligence",
      "language": "Python",
      "topics": [
        "academic-paper",
        "academic-search",
        "ai-analysis",
        "ai-research",
        "citation-network",
        "d3js",
        "flask",
        "literature-review-tool",
        "openalex",
        "paper-search",
        "pubmed",
        "rag",
        "research-assistant",
        "research-tools"
      ],
      "created_date": "2026-06-08",
      "last_push_date": "2026-10-19",
      "url": "https://github.com/vanthree31/PaperLens",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "literature",
        "missing_strong_skill_signal",
        "paper",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 8,
      "open_issues": 1,
      "watchers": 192,
      "size_kb": 4117,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 264,
      "repo": "joshzyj/open-scholar-skill",
      "stars": 189,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 40.64,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Open scholar skill, a claude code plugin, for academic research",
      "language": "Shell",
      "topics": [],
      "created_date": "2026-03-16",
      "last_push_date": "2026-10-19",
      "url": "https://github.com/joshzyj/open-scholar-skill",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "literature review",
        "plugin",
        "readme_scope",
        "research",
        "scholar",
        "skill",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 25,
      "open_issues": 0,
      "watchers": 189,
      "size_kb": 4232,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 36,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 265,
      "repo": "SyntaxSmith/nature-writing-skill",
      "stars": 189,
      "star_delta_1d": 0,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 26.63,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "Claude Code / Codex skill — Nature-family paper writing (NMI / NC / NCS / Nature) for Chinese AI/ML researchers, distilled from 44 OA papers",
      "language": "",
      "topics": [],
      "created_date": "2026-04-27",
      "last_push_date": "2026-04-27",
      "url": "https://github.com/SyntaxSmith/nature-writing-skill",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "claude code",
        "codex",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "skill",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 19,
      "open_issues": 0,
      "watchers": 189,
      "size_kb": 229,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 266,
      "repo": "google-research/paper-orchestra",
      "stars": 188,
      "star_delta_1d": 2,
      "star_delta_7d": 11,
      "star_delta_30d": 11,
      "trend_score": 31.41,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "PaperOrchestra is a multi-agent framework for automated AI research paper writing.",
      "language": "Python",
      "topics": [
        "ai-research-assistant",
        "multi-agent-systems"
      ],
      "created_date": "2026-05-01",
      "last_push_date": "2026-05-17",
      "url": "https://github.com/google-research/paper-orchestra",
      "homepage": "https://yiwen-song.github.io/paper_orchestra/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "assistant",
        "literature review",
        "missing_strong_skill_signal",
        "paper",
        "paper writing",
        "readme_scope",
        "research",
        "research paper"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 0,
      "watchers": 188,
      "size_kb": 2128,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 267,
      "repo": "AI4Scientist/awesome-autoresearch",
      "stars": 187,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 40.09,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A curated list of awesome autonomous researcher frameworks",
      "language": "",
      "topics": [
        "ai4science",
        "autonomous-researcher",
        "autonomous-scientist",
        "autoresearch",
        "autoresearcher",
        "research-assistant",
        "researcher-agent",
        "scientist-agent"
      ],
      "created_date": "2025-11-27",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/AI4Scientist/awesome-autoresearch",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "assistant",
        "missing_high_confidence_academic_signal",
        "missing_strong_skill_signal",
        "peer review",
        "readme_scope",
        "research",
        "research workflow",
        "science",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 0,
      "watchers": 187,
      "size_kb": 1780,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 268,
      "repo": "z-liu-xiugou/research-workbench-assistant",
      "stars": 186,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 43.24,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Local-first research memory for Codex: checkpoints, progress ledgers, and Markdown/JSON paper notes. Early alpha.",
      "language": "Python",
      "topics": [
        "academic-workflow",
        "ai",
        "codex",
        "knowledge-graph",
        "literature-review",
        "local-first",
        "research",
        "research-assistant"
      ],
      "created_date": "2026-09-07",
      "last_push_date": "2026-10-29",
      "url": "https://github.com/z-liu-xiugou/research-workbench-assistant",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "assistant",
        "codex",
        "literature",
        "paper",
        "research",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 0,
      "open_issues": 4,
      "watchers": 186,
      "size_kb": 626,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 269,
      "repo": "moonlarry/codex-paper-skills",
      "stars": 181,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 19.28,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Codex运行规范及写论文使用的多个skills",
      "language": "TeX",
      "topics": [],
      "created_date": "2026-03-14",
      "last_push_date": "2026-08-01",
      "url": "https://github.com/moonlarry/codex-paper-skills",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "codex",
        "paper",
        "readme_scope",
        "skill",
        "skills",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 9,
      "open_issues": 0,
      "watchers": 181,
      "size_kb": 567,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 30,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 270,
      "repo": "BAIKEMARK/happy-figure-skill",
      "stars": 180,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 22.93,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Happy Figure Agent Skill for generating structured scientific figure prompts from research content.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-06-02",
      "last_push_date": "2026-06-03",
      "url": "https://github.com/BAIKEMARK/happy-figure-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "missing_high_confidence_academic_signal",
        "readme_scope",
        "research",
        "scientific",
        "skill",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 13,
      "open_issues": 0,
      "watchers": 180,
      "size_kb": 74266,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T17:00:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 271,
      "repo": "1sdv/lunwentocode",
      "stars": 179,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 38.0,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "将论文（Markdown格式）转换为可运行的Python代码(Mineru一键转化pdf为Markdown文件).",
      "language": "Python",
      "topics": [],
      "created_date": "2025-12-05",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/1sdv/lunwentocode",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 7,
      "open_issues": 0,
      "watchers": 179,
      "size_kb": 1455,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-09",
      "first_seen_at": "2026-11-09T07:40:22Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 272,
      "repo": "Drchronx/ai-agent-research-starter-kit",
      "stars": 176,
      "star_delta_1d": 1,
      "star_delta_7d": 6,
      "star_delta_30d": 34,
      "trend_score": 25.51,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI Agent 科研全流程教学包，能教学生从零部署 Codex、Claude Code、OpenClaw、Hermes 等 Agent，学会使用 Skills、飞书、AMiner、AI4Scholar、Zotero、Obsidian 等工具，完成真实文献检索、文献日报、知识库搭建、选题生成、理论建构、情景实验设计、量表开发、统计分析、因果推断、文本挖掘、EEG/ERP 实验、BCI 脑电智能建模、论文写作、审稿自查、期刊排版和盲审投稿包制作；学生学完后可以按课程模板一步步让 AI Agent 协助完成从“找文献、定选题、做实验、分析数据”到“写论文、查引用、改格式、准备投稿”的完整科研流程。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-19",
      "last_push_date": "2026-05-19",
      "url": "https://github.com/Drchronx/ai-agent-research-starter-kit",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "claude code",
        "research",
        "scholar",
        "skill",
        "skills",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 14,
      "open_issues": 0,
      "watchers": 176,
      "size_kb": 40920,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 355,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-19",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 273,
      "repo": "CurryTang/Amadeus",
      "stars": 176,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 17.98,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Your personal AI research assistant that automatically reads, summarizes, organizes, and acts on academic papers.",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2026-01-22",
      "last_push_date": "2026-03-25",
      "url": "https://github.com/CurryTang/Amadeus",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "literature review",
        "missing_strong_skill_signal",
        "paper",
        "paper writing",
        "papers",
        "readme_scope",
        "research"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 17,
      "open_issues": 0,
      "watchers": 176,
      "size_kb": 40269,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 16,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 274,
      "repo": "wilbert-MD-PhD/medical-illustration",
      "stars": 174,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 44.77,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "面向 Codex、Claude Code 等 AI Agent 的医学绘图 Skill，基于可信证据制作医学插画、科普漫画与科研示意图，提供可编辑成果与审核记录。 · Evidence-backed medical illustration, comics and research figures for Codex, Claude Code and other AI agents, with editable output and review records.",
      "language": "Python",
      "topics": [
        "agent-skills",
        "claude-code",
        "codex",
        "medical-illustration",
        "science-communication",
        "svg"
      ],
      "created_date": "2026-09-06",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/wilbert-MD-PhD/medical-illustration",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "claude code",
        "phd",
        "research",
        "review",
        "science",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 13,
      "open_issues": 0,
      "watchers": 174,
      "size_kb": 84647,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 275,
      "repo": "AI-in-Transportation-Lab/awesome-mechanistic-interpretability",
      "stars": 174,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 42.7,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on Mechanistic Interpretability, a growing subfield in machine learning interpretability research that aims to reverse-engineer neural networks into understandable computational components.",
      "language": "JavaScript",
      "topics": [
        "llms",
        "mechanistic-interpretability"
      ],
      "created_date": "2025-06-11",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/AI-in-Transportation-Lab/awesome-mechanistic-interpretability",
      "homepage": "https://doi.org/10.1145/3787104",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 20,
      "open_issues": 4,
      "watchers": 174,
      "size_kb": 630,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 276,
      "repo": "poco-ai/agentero-dsh-plugin",
      "stars": 173,
      "star_delta_1d": 7,
      "star_delta_7d": 7,
      "star_delta_30d": 7,
      "trend_score": 57.08,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "给 DeepSeek Harness 用的科研文献库插件：搜论文、带出处、审批入库、把笔记线索交给同会话其他插件。Academic research library for DSH — search, cite, approve imports, hand off notes.",
      "language": "TypeScript",
      "topics": [
        "academic",
        "agentero",
        "ai-agents",
        "citations",
        "deepseek-harness",
        "dsh",
        "dsh-plugin",
        "knowledge-base",
        "literature-review",
        "llm",
        "papers",
        "pdf",
        "research",
        "research-assistant",
        "typescript"
      ],
      "created_date": "2026-10-30",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/poco-ai/agentero-dsh-plugin",
      "homepage": "https://agentero.app",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:related",
        "assistant",
        "paper",
        "papers",
        "plugin",
        "readme_scope",
        "research",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 7,
      "open_issues": 4,
      "watchers": 173,
      "size_kb": 3433,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-08",
      "first_seen_at": "2026-11-08T09:20:25Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 277,
      "repo": "ChicagoHAI/OpenAIReview",
      "stars": 172,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 36.08,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI reviewing paper drafts for improvement.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-23",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/ChicagoHAI/OpenAIReview",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "review"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 25,
      "open_issues": 29,
      "watchers": 172,
      "size_kb": 94534,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T08:49:02Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 278,
      "repo": "eust-w/opengeniemaster",
      "stars": 171,
      "star_delta_1d": 16,
      "star_delta_7d": 16,
      "star_delta_30d": 16,
      "trend_score": 67.29,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "peer-review",
        "zh": "评审反馈",
        "en": "Peer Review"
      },
      "description": "Open-source embodied agent framework: execution, feedback, and continual improvement",
      "language": "Python",
      "topics": [
        "agent-harness",
        "ai-agents",
        "continual-learning",
        "embodied-ai",
        "mcp",
        "model-context-protocol",
        "multi-robot",
        "robotics",
        "simulation",
        "vla"
      ],
      "created_date": "2026-10-27",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/eust-w/opengeniemaster",
      "homepage": "",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "admission:skill_candidate",
        "mcp",
        "missing_academic_signal",
        "missing_strong_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 3,
      "open_issues": 0,
      "watchers": 171,
      "size_kb": 273,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-09",
      "first_seen_at": "2026-11-09T07:40:22Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 279,
      "repo": "zjunlp/SciAtlas",
      "stars": 170,
      "star_delta_1d": 0,
      "star_delta_7d": 4,
      "star_delta_30d": 4,
      "trend_score": 38.45,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A Large-Scale Knowledge Graph for Automated Scientific Research",
      "language": "Python",
      "topics": [
        "agent",
        "ai-agent",
        "ai-for-science",
        "ai-scientist",
        "ai4research",
        "automated-scientific-research",
        "autonomous-agent",
        "idea-generation",
        "knowledge-graph",
        "large-language-models",
        "llm",
        "research-automation",
        "retrieval-augmented-generation",
        "scholar",
        "scholarkg",
        "sciagent",
        "sciatlas",
        "science-discovery",
        "scigraph",
        "scikg"
      ],
      "created_date": "2026-04-20",
      "last_push_date": "2026-10-22",
      "url": "https://github.com/zjunlp/SciAtlas",
      "homepage": "http://sciatlas.openkg.cn/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "literature review",
        "missing_high_confidence_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "research workflow",
        "scholar",
        "science",
        "scientific",
        "scientific research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 16,
      "open_issues": 0,
      "watchers": 170,
      "size_kb": 17382,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 7,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 280,
      "repo": "QuenithAI/Video-Generation-Paper-List",
      "stars": 170,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.8,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Tracking the latest and greatest research papers on video generation.",
      "language": "",
      "topics": [
        "aaai",
        "cvpr",
        "deep-learning",
        "diffusion-models",
        "eccv",
        "iccv",
        "iclr",
        "icml",
        "image-to-video",
        "image-to-video-generation",
        "neurips",
        "nips",
        "siggraph",
        "text-to-video",
        "text-to-video-generation",
        "video-editing",
        "video-generation",
        "video-to-video",
        "video-to-video-translation"
      ],
      "created_date": "2025-08-06",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/QuenithAI/Video-Generation-Paper-List",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 9,
      "open_issues": 0,
      "watchers": 170,
      "size_kb": 970,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 281,
      "repo": "Liuxiangjian-ai/reference-checker-skill",
      "stars": 167,
      "star_delta_1d": 1,
      "star_delta_7d": 5,
      "star_delta_30d": 27,
      "trend_score": 23.8,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "逐条检查参考文献是否真实 /An exhaustive pre-submission reference verification skill for checking scholarly references item by item.",
      "language": "",
      "topics": [],
      "created_date": "2026-04-25",
      "last_push_date": "2026-06-03",
      "url": "https://github.com/Liuxiangjian-ai/reference-checker-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "scholar",
        "skill",
        "文献"
      ],
      "stale": false,
      "verifies_citations": true,
      "forks": 8,
      "open_issues": 0,
      "watchers": 167,
      "size_kb": 80,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 282,
      "repo": "CHB-learner/PaperPilot",
      "stars": 167,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 17.82,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AI 文献检索与综述 Agent：支持多源检索、代码仓库定位、开放 PDF 下载、证据链与中英双语报告。",
      "language": "Python",
      "topics": [
        "academic-research",
        "ai-literature-review",
        "cli",
        "literature-review",
        "llm",
        "paperpilot"
      ],
      "created_date": "2026-05-14",
      "last_push_date": "2026-05-19",
      "url": "https://github.com/CHB-learner/PaperPilot",
      "homepage": "https://chb-learner.github.io/PaperPilot/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature",
        "literature review",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "research",
        "research workflow",
        "thesis"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 4,
      "open_issues": 1,
      "watchers": 167,
      "size_kb": 1859,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 283,
      "repo": "SmBai1998/sci-ps-skill",
      "stars": 166,
      "star_delta_1d": 3,
      "star_delta_7d": 7,
      "star_delta_30d": 34,
      "trend_score": 37.2,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "科研绘图不再只是 AI 生一张图。这个 Skill 会自动分析参考图、拆解组件、生成素材，再进入 Photoshop 按图层逐步重建，并对位置、大小、形状、透视、色调、阴影、光效和遮挡关系进行逐层校准。最终不是一张扁平图片，而是一份可以继续修改的完整 PSD。Science 封面、Nature 风格机制图、3D 科研示意图都可以按这套流程处理。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-08-29",
      "last_push_date": "2026-08-29",
      "url": "https://github.com/SmBai1998/sci-ps-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "science",
        "skill",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 1,
      "watchers": 166,
      "size_kb": 350,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 284,
      "repo": "wycmochi/cn-academic-spark",
      "stars": 166,
      "star_delta_1d": 2,
      "star_delta_7d": 9,
      "star_delta_30d": 43,
      "trend_score": 32.13,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "专为中国宝宝设计的可编辑学术 PPT 生成skill。可根据学术汇报场景（论文答辩、组会汇报、课程报告、开题报告、文献综述等），依据上传的论文、报告等材料分析研究框架并输出带讲稿、带技术路线图、可编辑的pptx文件。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-12",
      "last_push_date": "2026-08-28",
      "url": "https://github.com/wycmochi/cn-academic-spark",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "skill",
        "学术",
        "文献",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 6,
      "open_issues": 1,
      "watchers": 166,
      "size_kb": 79206,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-21",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 285,
      "repo": "ChicagoHAI/NeuriCo",
      "stars": 163,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.66,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI Scientist by Chicago Human+AI Lab",
      "language": "Python",
      "topics": [],
      "created_date": "2025-11-03",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/ChicagoHAI/NeuriCo",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "research workflow",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 38,
      "open_issues": 61,
      "watchers": 163,
      "size_kb": 30348,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 15,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T08:49:02Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 286,
      "repo": "aspi6246/Claude-Code-Skills-for-Academics",
      "stars": 163,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 4,
      "trend_score": 20.83,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A collection of Skills for academics.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-03-26",
      "last_push_date": "2026-08-21",
      "url": "https://github.com/aspi6246/Claude-Code-Skills-for-Academics",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 31,
      "open_issues": 0,
      "watchers": 163,
      "size_kb": 445,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 18,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 287,
      "repo": "Jesseovo/PaperCash",
      "stars": 159,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 7,
      "trend_score": 32.96,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "你的论文研究好帮手。发现与收藏真实论文，整理文献、引用和写作思路；一句话交给 Agent，继续深入研究。",
      "language": "Python",
      "topics": [
        "academic-research",
        "academic-writing",
        "agent-skills",
        "ai-agents",
        "arxiv",
        "bibtex",
        "citation-management",
        "literature-review",
        "paper-search",
        "python",
        "research-assistant"
      ],
      "created_date": "2026-04-07",
      "last_push_date": "2026-10-20",
      "url": "https://github.com/Jesseovo/PaperCash",
      "homepage": "https://jesseovo.github.io/PaperCash/",
      "agents": [],
      "precision_signals": [
        "academic",
        "assistant",
        "literature",
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 0,
      "watchers": 159,
      "size_kb": 178,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 3,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 288,
      "repo": "Gaoyuan-0423/biomedical-paper-reader",
      "stars": 156,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 6,
      "trend_score": 53.48,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "生物医学论文精读 Skill 与本地阅读 App：逐图解析、证据评估、研究设计借鉴，支持中文、英文及双语报告。 | Biomedical paper-reading skill & local app: figure analysis, evidence appraisal, and research design insights. Chinese, English & bilingual reports.",
      "language": "Python",
      "topics": [
        "agent-skills",
        "biomedical",
        "chinese",
        "paper-reading",
        "research-design"
      ],
      "created_date": "2026-09-26",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/Gaoyuan-0423/biomedical-paper-reader",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "paper",
        "readme_scope",
        "research",
        "skill",
        "skills",
        "文献阅读",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 0,
      "open_issues": 2,
      "watchers": 156,
      "size_kb": 5492,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 289,
      "repo": "AI-in-Transportation-Lab/awesome-tinyml",
      "stars": 155,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.5,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on TinyML — the intersection of machine learning and ultra-low-power embedded systems.",
      "language": "JavaScript",
      "topics": [
        "machine-learning",
        "tiny-machine-learnig",
        "tinyml"
      ],
      "created_date": "2025-06-11",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/AI-in-Transportation-Lab/awesome-tinyml",
      "homepage": "https://dl.acm.org/doi/10.1145/3776588",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research paper",
        "research papers"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 9,
      "watchers": 155,
      "size_kb": 248,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 290,
      "repo": "Visterainer/aidea-zotero",
      "stars": 154,
      "star_delta_1d": 0,
      "star_delta_7d": 8,
      "star_delta_30d": 8,
      "trend_score": 45.91,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "AIdea — AI assistant for Zotero: chat with papers, translate selections, translate full PDFs. Use your existing ChatGPT/Gemini/Copilot subscription (OAuth, no API key), any OpenAI-compatible API, or local models (Ollama, LM Studio). | Zotero AI 助手：论文对话、划词翻译、全文翻译。支持订阅账号登录（无需 API Key）、OpenAI 兼容 API 接入、本地模型（Ollama、LM Studio）",
      "language": "TypeScript",
      "topics": [
        "academic",
        "ai",
        "ai-assistant",
        "chatgpt",
        "free",
        "gemini",
        "github-copilot",
        "lm-studio",
        "no-api-key",
        "oauth",
        "ollama",
        "openai",
        "openai-api",
        "openai-compatible",
        "pdf-translation",
        "research",
        "translation",
        "zotero",
        "zotero-addon",
        "zotero-plugin"
      ],
      "created_date": "2026-03-04",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/Visterainer/aidea-zotero",
      "homepage": "",
      "agents": [
        "gemini"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "gemini",
        "paper",
        "papers",
        "plugin",
        "readme_scope",
        "research",
        "research workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 11,
      "open_issues": 5,
      "watchers": 154,
      "size_kb": 23993,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "agpl-3.0",
        "name": "GNU Affero General Public License v3.0",
        "spdx_id": "AGPL-3.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 291,
      "repo": "Yila-AI/awesome-research-skills",
      "stars": 153,
      "star_delta_1d": 0,
      "star_delta_7d": 12,
      "star_delta_30d": 12,
      "trend_score": 51.72,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.",
      "language": "Python",
      "topics": [
        "academic-writing",
        "agent-skills",
        "ai-research",
        "claude-code",
        "codex",
        "manuscript-writing",
        "openclaw",
        "prompt-engineering",
        "research-writing",
        "sci",
        "scientific-writing",
        "ssci"
      ],
      "created_date": "2026-07-17",
      "last_push_date": "2026-10-21",
      "url": "https://github.com/Yila-AI/awesome-research-skills",
      "homepage": "https://yila.ai",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "agent skill",
        "literature search",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "research workflow",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 18,
      "open_issues": 1,
      "watchers": 153,
      "size_kb": 15404,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 4,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 292,
      "repo": "htlin222/meta-pipe",
      "stars": 153,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 36.21,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis",
      "language": "Python",
      "topics": [
        "biostatistics",
        "claude-code",
        "clinical-research",
        "clinical-trials",
        "data-extraction",
        "evidence-based-medicine",
        "manuscript-generation",
        "meta-analysis",
        "python",
        "reproducible-research",
        "research-automation",
        "systematic-review"
      ],
      "created_date": "2026-02-05",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/htlin222/meta-pipe",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "literature",
        "manuscript",
        "readme_scope",
        "research",
        "review",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 66,
      "open_issues": 10,
      "watchers": 153,
      "size_kb": 5304,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 15,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-07",
      "first_seen_at": "2026-11-07T09:05:09Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 293,
      "repo": "dr-dumpling/PaperSearch",
      "stars": 152,
      "star_delta_1d": 1,
      "star_delta_7d": 13,
      "star_delta_30d": 13,
      "trend_score": 53.07,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "AI agent tool for paper search, journal metrics, and full-text downloads via open access or school (CARSI).",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-15",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/dr-dumpling/PaperSearch",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "journal",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "文献检索",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 9,
      "open_issues": 0,
      "watchers": 152,
      "size_kb": 119921,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-03",
      "first_seen_at": "2026-11-03T09:53:13Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 294,
      "repo": "0xE1337/thesis-figure-skill",
      "stars": 151,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 7,
      "trend_score": 19.85,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "🎓 Claude Skill: Paste your paper text, auto-generate publication-ready LaTeX/TikZ diagrams. 粘贴论文文案，自动生成学术级配图。",
      "language": "TeX",
      "topics": [
        "academic-paper",
        "ai-tools",
        "claude-skill",
        "diagram",
        "figure-generation",
        "latex",
        "thesis",
        "tikz"
      ],
      "created_date": "2026-03-19",
      "last_push_date": "2026-07-25",
      "url": "https://github.com/0xE1337/thesis-figure-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "latex",
        "paper",
        "skill",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 11,
      "open_issues": 0,
      "watchers": 151,
      "size_kb": 19581,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 295,
      "repo": "flonat/flonat-research",
      "stars": 150,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 4,
      "trend_score": 37.08,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Shareable Claude Code + Codex infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows",
      "language": "Python",
      "topics": [
        "academic-research",
        "ai-tools",
        "claude",
        "claude-code",
        "codex",
        "latex",
        "phd",
        "research-workflow"
      ],
      "created_date": "2026-02-20",
      "last_push_date": "2026-11-03",
      "url": "https://github.com/flonat/flonat-research",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "latex",
        "phd",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 29,
      "open_issues": 1,
      "watchers": 150,
      "size_kb": 7252,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 87,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-27",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 296,
      "repo": "liangdabiao/stem-illustration-skill",
      "stars": 146,
      "star_delta_1d": 0,
      "star_delta_7d": 13,
      "star_delta_30d": 20,
      "trend_score": 56.04,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "面向 STEM（科学、技术、工程、数学）领域的 AI 图像生成 Skill。  生成科研示意图、教学插图、技术架构图等概念性图像，覆盖生物医学、化学、物理、工程、数学 6 大学科。  功能特性 24 个场景模板：信号通路、实验流程、细胞结构、概念信息图、学术海报、机制图、质粒图、机器学习架构等 6 大学科适配：生命科学/医学/化学/物理/工程/数学 4 种风格变体：academic / textbook / infographic / 3d-render",
      "language": "Python",
      "topics": [
        "skill"
      ],
      "created_date": "2026-07-20",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/liangdabiao/stem-illustration-skill",
      "homepage": "https://stem-illustration.liangdabiao.com/",
      "agents": [],
      "precision_signals": [
        "academic",
        "skill",
        "学术",
        "实验",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 6,
      "open_issues": 0,
      "watchers": 146,
      "size_kb": 21792,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 297,
      "repo": "voidful/academic-skills",
      "stars": 146,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 20.94,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A complete academic research Skill suite. Supports Claude Code, ChatGPT / Codex CLI, and Gemini CLI.",
      "language": "TeX",
      "topics": [],
      "created_date": "2026-03-17",
      "last_push_date": "2026-04-04",
      "url": "https://github.com/voidful/academic-skills",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex",
        "gemini"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "paper review",
        "paper writing",
        "readme_scope",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 13,
      "open_issues": 0,
      "watchers": 146,
      "size_kb": 276,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 8,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 298,
      "repo": "huh7i5/AI-prompts-writing",
      "stars": 145,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.3,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "专为学术小白打造的零门槛 AI 论文写作提示词库。彻底告别“AI八股文”与数据幻觉，只需复制粘贴，还原最真实的人类学术写作质感！",
      "language": "",
      "topics": [
        "academic-writing",
        "chatgpt",
        "paper",
        "prompt-engineering",
        "prompts"
      ],
      "created_date": "2025-02-06",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/huh7i5/AI-prompts-writing",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 15,
      "open_issues": 0,
      "watchers": 145,
      "size_kb": 10015,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-05",
      "first_seen_at": "2026-11-05T09:48:29Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 299,
      "repo": "cLin-c/paper-skill",
      "stars": 143,
      "star_delta_1d": 1,
      "star_delta_7d": 5,
      "star_delta_30d": 24,
      "trend_score": 44.92,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "🎓 Claude Code skill — AI prompt library for academic paper writing, polishing, reviewing, translating and submitting to SCI/IEEE/Nature/TRO journals",
      "language": "HTML",
      "topics": [
        "academic-writing",
        "ai",
        "claude-code",
        "latex",
        "llm",
        "paper",
        "prompt-engineering",
        "research"
      ],
      "created_date": "2026-06-12",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/cLin-c/paper-skill",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "claude code",
        "paper",
        "research",
        "review",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 11,
      "open_issues": 2,
      "watchers": 143,
      "size_kb": 15472,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 300,
      "repo": "allenai/asta-bench",
      "stars": 143,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 38.35,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "",
      "language": "Python",
      "topics": [],
      "created_date": "2025-03-21",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/allenai/asta-bench",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "literature search",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "scientific research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 28,
      "open_issues": 20,
      "watchers": 143,
      "size_kb": 12757,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-29",
      "first_seen_at": "2026-10-29T08:49:02Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 301,
      "repo": "anon-research-tools/academic-literature-route",
      "stars": 143,
      "star_delta_1d": 1,
      "star_delta_7d": 15,
      "star_delta_30d": 15,
      "trend_score": 38.07,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "用于建立可追溯文献检索路线的 Codex 学术论文搜索 Skill",
      "language": "",
      "topics": [],
      "created_date": "2026-06-25",
      "last_push_date": "2026-06-25",
      "url": "https://github.com/anon-research-tools/academic-literature-route",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "academic",
        "codex",
        "literature",
        "research",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 4,
      "open_issues": 0,
      "watchers": 143,
      "size_kb": 25,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-20",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 302,
      "repo": "xujingchen1996/research-app-toolkit",
      "stars": 143,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 33.61,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "Research Application Toolkit - Claude Code plugin for PhD, MRes, MPhil applications",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2026-04-08",
      "last_push_date": "2026-10-14",
      "url": "https://github.com/xujingchen1996/research-app-toolkit",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "claude code",
        "phd",
        "plugin",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 3,
      "open_issues": 2,
      "watchers": 143,
      "size_kb": 141,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 27,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-14",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 303,
      "repo": "poemswe/co-researcher",
      "stars": 138,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 39.05,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Academic research plugin for Claude Code with literature reviews, systematic reviews, peer review and citation checking. Every citation is verified against OpenAlex, arXiv and Europe PMC. Also works in Gemini CLI, Codex and OpenCode.",
      "language": "Python",
      "topics": [
        "academic-paper",
        "academic-research",
        "academic-writing",
        "citation-verification",
        "hypothesis-testing",
        "literature-review",
        "peer-review"
      ],
      "created_date": "2025-12-29",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/poemswe/co-researcher",
      "homepage": "https://coresearcher.poemswe.com",
      "agents": [
        "claude-code",
        "codex",
        "opencode",
        "gemini"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "codex",
        "literature",
        "literature review",
        "opencode",
        "paper",
        "peer review",
        "readme_scope",
        "research"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 17,
      "open_issues": 14,
      "watchers": 138,
      "size_kb": 2063,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 15,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 304,
      "repo": "maxwell2732/paper-replicate-agent-demo",
      "stars": 138,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 1,
      "trend_score": 17.14,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A structured Claude Code workflow for empirically replicating published research using UK Biobank (UKB) data, created by Chen Zhu 朱晨 | 遗传社科研究.",
      "language": "R",
      "topics": [],
      "created_date": "2026-02-21",
      "last_push_date": "2026-05-22",
      "url": "https://github.com/maxwell2732/paper-replicate-agent-demo",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "claude code",
        "paper",
        "research",
        "workflow",
        "科研"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 97,
      "open_issues": 1,
      "watchers": 138,
      "size_kb": 28009,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 11,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 305,
      "repo": "shibing624/ai-paper-analysis",
      "stars": 136,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 2,
      "trend_score": 39.48,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Daily in-depth Chinese analyses of frontier AI research papers, including topics such as LLMs, agents, RAG, and RL. AI 前沿论文中文深度解读",
      "language": "Python",
      "topics": [
        "ai-paper",
        "ai-research",
        "paper-analysis"
      ],
      "created_date": "2026-03-03",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/shibing624/ai-paper-analysis",
      "homepage": "https://ai-paper-analysis.pages.dev/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "paper",
        "papers",
        "readme_scope",
        "research",
        "学术",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 14,
      "open_issues": 0,
      "watchers": 136,
      "size_kb": 1224535,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 306,
      "repo": "shahidazam2020-oss/A-Systematic-Literature-Review-of-Retrieval-Augmented-Generation-RAG-Models",
      "stars": 135,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 42.53,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "A systematic literature review of Retrieval Augmented Generation (RAG) models, covering architectures, retrieval techniques, real world applications, performance improvements, emerging challenges, and future research directions across healthcare, education, finance, and enterprise AI.",
      "language": "",
      "topics": [],
      "created_date": "2026-07-26",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/shahidazam2020-oss/A-Systematic-Literature-Review-of-Retrieval-Augmented-Generation-RAG-Models",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature",
        "literature review",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "retrieval",
        "review"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 1,
      "open_issues": 0,
      "watchers": 135,
      "size_kb": 5130,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-31",
      "first_seen_at": "2026-10-31T03:03:15Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 307,
      "repo": "HaonanAlex/MGMT-Paper-Skills",
      "stars": 132,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 5,
      "trend_score": 18.19,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Management research paper skills and MCP workflows for Codex and Claude",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-02",
      "last_push_date": "2026-05-02",
      "url": "https://github.com/HaonanAlex/MGMT-Paper-Skills",
      "homepage": "",
      "agents": [
        "codex",
        "mcp"
      ],
      "precision_signals": [
        "codex",
        "paper",
        "research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 18,
      "open_issues": 0,
      "watchers": 132,
      "size_kb": 542,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 17,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 308,
      "repo": "AI4Scientist/nano-scientist",
      "stars": 130,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 16.94,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "An autonomous research agent that turns a topic into a peer-reviewed technical report",
      "language": "TeX",
      "topics": [
        "ai-scientist",
        "auto-research",
        "autonomous-research",
        "autoresearch"
      ],
      "created_date": "2024-12-02",
      "last_push_date": "2026-06-03",
      "url": "https://github.com/AI4Scientist/nano-scientist",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature review",
        "missing_skill_signal",
        "missing_strong_academic_signal",
        "readme_scope",
        "research",
        "research workflow",
        "review"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 21,
      "open_issues": 1,
      "watchers": 130,
      "size_kb": 115414,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 176,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 309,
      "repo": "5zjk5/prompt-engineering",
      "stars": 128,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 34.35,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "prompt 工程项目案例",
      "language": "Python",
      "topics": [],
      "created_date": "2024-06-02",
      "last_push_date": "2026-10-30",
      "url": "https://github.com/5zjk5/prompt-engineering",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 18,
      "open_issues": 1,
      "watchers": 128,
      "size_kb": 177186,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 5,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T17:00:50Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 310,
      "repo": "yrui-cmd/Cell",
      "stars": 126,
      "star_delta_1d": 0,
      "star_delta_7d": 6,
      "star_delta_30d": 16,
      "trend_score": 52.9,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "Cell 科研工作 Skill 集合：选题、计划、综述、投稿、科研绘图与 PowerPoint 编辑。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-09-27",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/yrui-cmd/Cell",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "skill",
        "投稿",
        "科研",
        "综述"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2,
      "open_issues": 0,
      "watchers": 126,
      "size_kb": 2998,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 18,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-08",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 311,
      "repo": "PouriaRouzrokh/LatteReview",
      "stars": 126,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 31.42,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "This is the repository for the LatteReview python package. LatteReview is a low-code Python package designed to automate systematic literature review processes through AI-powered agents.",
      "language": "Jupyter Notebook",
      "topics": [
        "ai",
        "deep-learning",
        "large-language-models",
        "multi-agent",
        "multi-agent-systems",
        "multiagent",
        "review",
        "review-tools"
      ],
      "created_date": "2024-12-10",
      "last_push_date": "2026-10-17",
      "url": "https://github.com/PouriaRouzrokh/LatteReview",
      "homepage": "https://pouriarouzrokh.github.io/LatteReview",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature",
        "literature review",
        "missing_skill_signal",
        "readme_scope",
        "review"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 15,
      "open_issues": 2,
      "watchers": 126,
      "size_kb": 21891,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 312,
      "repo": "Citrus-bit/Anaxa",
      "stars": 126,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 6,
      "trend_score": 26.16,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Anaxa 是一个面向科研工作流的开源智能体系统。它不是单纯的聊天机器人，也不是无人监管的自动发论文机器，而是把文献检索、证据审计、实验执行、论文写作、同行评审式检查和最终产物打包放进同一个可追踪的研究生命周期中。",
      "language": "Python",
      "topics": [
        "agent",
        "agents",
        "css",
        "deepresearch",
        "fastapi",
        "harness",
        "langchain",
        "langgraph",
        "llm",
        "multi-agent",
        "nextjs",
        "nginx",
        "python",
        "react",
        "research",
        "sandbox",
        "subagents",
        "superagent",
        "typescript",
        "workflow"
      ],
      "created_date": "2026-03-30",
      "last_push_date": "2026-09-07",
      "url": "https://github.com/Citrus-bit/Anaxa",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "research",
        "workflow",
        "文献",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 10,
      "open_issues": 0,
      "watchers": 126,
      "size_kb": 38156,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 29,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 313,
      "repo": "genggng/hermes-arxiv-agent",
      "stars": 123,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 36.66,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "一个基于 Hermes 的 agent skill：每天自动从 arXiv 抓取论文，用 AI 生成中文摘要和作者单位，推送到飞书，并提供本地静态阅读网站。 ",
      "language": "Python",
      "topics": [
        "arxiv-papers",
        "hermes-agent",
        "skill-md"
      ],
      "created_date": "2026-04-14",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/genggng/hermes-arxiv-agent",
      "homepage": "https://genggng.github.io/hermes-arxiv-agent/",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "agent skill",
        "arxiv",
        "paper",
        "papers",
        "readme_scope",
        "skill",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 47,
      "open_issues": 0,
      "watchers": 123,
      "size_kb": 5404,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 314,
      "repo": "fangqian616/consensus-pipeline",
      "stars": 120,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 40.34,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Multi-agent department framework for long-form complex tasks, fighting AI hallucination, validated on academic research. 共识管线：多智能体部门长线任务解决框架，对抗AI幻觉，以学术研究为验证场景。",
      "language": "Python",
      "topics": [
        "academic-research",
        "consensus-pipeline",
        "deepseek-harness",
        "deepseek-harness-plugin",
        "deepseek-harness-plugins",
        "dsh-plugin",
        "dsh-plugins",
        "literature-review",
        "llm",
        "multi-agent",
        "multi-agent-debate",
        "python"
      ],
      "created_date": "2026-07-16",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/fangqian616/consensus-pipeline",
      "homepage": "https://consensus-pipeline.streamlit.app/",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature",
        "literature review",
        "pipeline",
        "plugin",
        "readme_scope",
        "research",
        "review",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 13,
      "open_issues": 1,
      "watchers": 120,
      "size_kb": 21680,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 315,
      "repo": "saideao/research-idea-review",
      "stars": 118,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 47.52,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "给研究 idea 做文献调研和多模型评审：检索论文、读全文、评质量、找空白、写 proposal，再换别家的模型做元评审，输出一份 HTML 报告。Literature review and multi-model review for a research idea, with a self-contained HTML report.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-11-01",
      "last_push_date": "2026-11-02",
      "url": "https://github.com/saideao/research-idea-review",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "literature",
        "missing_skill_signal",
        "readme_scope",
        "research",
        "review",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 6,
      "open_issues": 0,
      "watchers": 118,
      "size_kb": 406,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-06",
      "first_seen_at": "2026-11-06T09:41:05Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 316,
      "repo": "ace-trump-tech/Paper-Harness",
      "stars": 118,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 33.45,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "experiment-reproducibility",
        "zh": "实验复现",
        "en": "Experiments"
      },
      "description": "可审计、可复现、可恢复的多 Agent 研究工作台，可产出论文初稿 + 可独立运行的研究代码仓库 + 完整实验记录（配置、种子、指标、失败日志、SHA-256 清单）。含通用版（零基础/本科毕设）和专业版（CV 多卡实验/电网控制仿真）两条独立发行线。",
      "language": "Python",
      "topics": [
        "harness-engineering",
        "llm-agents",
        "multi-agent"
      ],
      "created_date": "2026-05-27",
      "last_push_date": "2026-10-17",
      "url": "https://github.com/ace-trump-tech/Paper-Harness",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "复现",
        "实验",
        "文献检索",
        "科研",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 56,
      "open_issues": 0,
      "watchers": 118,
      "size_kb": 62,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [
        "dushiqi1987/codex-remote-bridge"
      ],
      "rank": 317,
      "repo": "Dushiqi1987/codex-remote-Skill",
      "stars": 117,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 40.16,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "本地 Codex 连接服务器 Codex CLI：通过 SSH 反向隧道共享本地 HTTP 代理或直连网络，适用于 AutoDL 等 GPU 科研服务器。含 Python 转发器、PowerShell 隧道脚本、中文教程与测试。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-10-12",
      "last_push_date": "2026-10-12",
      "url": "https://github.com/Dushiqi1987/codex-remote-Skill",
      "homepage": "",
      "agents": [
        "codex"
      ],
      "precision_signals": [
        "codex",
        "skill",
        "科研"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 12,
      "open_issues": 0,
      "watchers": 117,
      "size_kb": 28,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-15",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 318,
      "repo": "tririver/arc",
      "stars": 116,
      "star_delta_1d": 0,
      "star_delta_7d": 3,
      "star_delta_30d": 3,
      "trend_score": 34.92,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Agent Research Copilot (ARC) is a set of skills and tools (CLI) for theoretical physics literature review, idea generation and performing calculations.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-23",
      "last_push_date": "2026-10-15",
      "url": "https://github.com/tririver/arc",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "copilot",
        "literature",
        "readme_scope",
        "research",
        "research workflow",
        "review",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 20,
      "open_issues": 0,
      "watchers": 116,
      "size_kb": 7723,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 319,
      "repo": "larbare12/paperfactory-from-idea-to-manuscript",
      "stars": 116,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 16.55,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "paper-writing",
        "zh": "论文写作",
        "en": "Paper Writing"
      },
      "description": "能够实现：人提供idea，agent自动帮你生成论文",
      "language": "Shell",
      "topics": [],
      "created_date": "2026-04-24",
      "last_push_date": "2026-05-19",
      "url": "https://github.com/larbare12/paperfactory-from-idea-to-manuscript",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "manuscript",
        "missing_skill_signal",
        "paper",
        "readme_scope",
        "文献综述",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 0,
      "open_issues": 0,
      "watchers": 116,
      "size_kb": 1842,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 11,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 320,
      "repo": "SNL-UCSB/literature-survey-skill",
      "stars": 115,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 36.49,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "A Claude Code skill that takes PhD students from a pile of papers to a synthesized understanding of what the field knows, what it doesn't, and where to push next. Intent → Triage → Deepen → Synthesize.",
      "language": "Shell",
      "topics": [],
      "created_date": "2026-03-27",
      "last_push_date": "2026-11-04",
      "url": "https://github.com/SNL-UCSB/literature-survey-skill",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "literature",
        "paper",
        "papers",
        "phd",
        "readme_scope",
        "skill",
        "survey",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2,
      "open_issues": 1,
      "watchers": 115,
      "size_kb": 74,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 321,
      "repo": "KalarisLabs/research-agent-skills",
      "stars": 114,
      "star_delta_1d": 1,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 40.6,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Turn any AI agent into a research co-scientist: 280+ open-source agent skills for literature reviews, hypotheses, experimental design, data analysis, paper writing, citation verification and peer review. Claude Code, Codex, Cursor, Gemini CLI and any Agent Skills harness. npx skills add KalarisLabs/research-agent-skills",
      "language": "Python",
      "topics": [
        "academic-research",
        "academic-writing",
        "agent-skills",
        "ai-agents",
        "bioinformatics",
        "citation-verification",
        "claude-code",
        "codex",
        "computational-chemistry",
        "literature-review",
        "machine-learning",
        "medicine",
        "open-science",
        "physics",
        "research-agent-skills",
        "research-paper",
        "research-tools",
        "scientific-research",
        "scientific-writing",
        "systematic-review"
      ],
      "created_date": "2026-07-07",
      "last_push_date": "2026-11-07",
      "url": "https://github.com/KalarisLabs/research-agent-skills",
      "homepage": "https://docs.kalarislabs.com/research-agent-skills",
      "agents": [
        "claude-code",
        "codex",
        "cursor",
        "gemini"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "agent skill",
        "literature",
        "paper",
        "peer review",
        "readme_scope",
        "research",
        "scientific research",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": true,
      "forks": 12,
      "open_issues": 59,
      "watchers": 114,
      "size_kb": 15703,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 281,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-05",
      "first_seen_at": "2026-11-05T02:17:59Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 322,
      "repo": "maxwell2732/my-submission-formatting-agent",
      "stars": 114,
      "star_delta_1d": 0,
      "star_delta_7d": 2,
      "star_delta_30d": 3,
      "trend_score": 18.89,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "A structured Claude Code workflow to reformat research manuscripts for any journal's submission requirements without altering scientific content, created by Chen Zhu 朱晨 | 遗传社科研究.",
      "language": "Python",
      "topics": [],
      "created_date": "2026-02-24",
      "last_push_date": "2026-03-15",
      "url": "https://github.com/maxwell2732/my-submission-formatting-agent",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "claude code",
        "journal",
        "manuscript",
        "research",
        "scientific",
        "workflow"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 27,
      "open_issues": 0,
      "watchers": 114,
      "size_kb": 3148,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 12,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 323,
      "repo": "AfishInLake/WordFormat",
      "stars": 113,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 32.89,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "不用再手动调字体、改行距、统一标题样式了！ WordFormat 批量规范 Word 文档排版，支持： 中英文字体自动区分（如中文宋体 + 英文 Arial） 智能修复标题、正文、列表格式混乱 批量处理多文档，适配论文等常用模板 省下时间，专注内容。",
      "language": "Python",
      "topics": [
        "docx",
        "python-docx",
        "skill"
      ],
      "created_date": "2026-01-14",
      "last_push_date": "2026-10-25",
      "url": "https://github.com/AfishInLake/WordFormat",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "readme_scope",
        "skill",
        "thesis",
        "学术",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 9,
      "open_issues": 3,
      "watchers": 113,
      "size_kb": 8631,
      "default_branch": "master",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "apache-2.0",
        "name": "Apache License 2.0",
        "spdx_id": "Apache-2.0"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 324,
      "repo": "zhoucz97/myLearning",
      "stars": 113,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 16.46,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "记录个人的学习历程。包括但不限于算法、机器学习、论文写作等。",
      "language": "",
      "topics": [],
      "created_date": "2021-04-21",
      "last_push_date": "2025-02-24",
      "url": "https://github.com/zhoucz97/myLearning",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "missing_skill_signal",
        "readme_scope",
        "论文"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 13,
      "open_issues": 0,
      "watchers": 113,
      "size_kb": 78879,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T05:55:35Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 325,
      "repo": "MrLee2R/Intelligrapher",
      "stars": 112,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 17.44,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "科研绘图智能助手/Intelligent Assistant for Scientific Research Illustration — Claude Code Skill",
      "language": "Python",
      "topics": [],
      "created_date": "2026-05-29",
      "last_push_date": "2026-05-29",
      "url": "https://github.com/MrLee2R/Intelligrapher",
      "homepage": "",
      "agents": [
        "claude-code"
      ],
      "precision_signals": [
        "assistant",
        "claude code",
        "research",
        "scientific",
        "skill",
        "科研"
      ],
      "stale": true,
      "verifies_citations": false,
      "forks": 2,
      "open_issues": 0,
      "watchers": 112,
      "size_kb": 413,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-09-28",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 326,
      "repo": "MrGeDiao/paper-reading-zh",
      "stars": 110,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 37.02,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "中文论文精读 skill：先说读了什么，数字标出处，查不到写未核验。Codex / Claude Code / Claude & ChatGPT Project",
      "language": "Python",
      "topics": [
        "academic-papers",
        "agent-skills",
        "chatgpt",
        "chinese",
        "claude",
        "codex",
        "llm-prompts",
        "paper-reading"
      ],
      "created_date": "2026-05-27",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/MrGeDiao/paper-reading-zh",
      "homepage": "",
      "agents": [
        "claude-code",
        "codex"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "claude code",
        "paper",
        "papers",
        "readme_scope",
        "skill",
        "skills",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 2,
      "open_issues": 0,
      "watchers": 110,
      "size_kb": 463,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-06",
      "first_seen_at": "2026-11-06T02:17:21Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 327,
      "repo": "csmar432/finai-research",
      "stars": 109,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 0,
      "trend_score": 39.39,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI skills, 30 journal templates.",
      "language": "Python",
      "topics": [
        "academic-research",
        "ai-agents",
        "causal-inference",
        "did",
        "difference-in-differences",
        "econometrics",
        "economics",
        "empirical-finance",
        "empirical-research",
        "finance",
        "latex",
        "llm",
        "mcp",
        "open-science",
        "panel-data",
        "python",
        "reproducible-research",
        "research-automation",
        "research-workflow"
      ],
      "created_date": "2026-06-15",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/csmar432/finai-research",
      "homepage": "https://csmar432.github.io/finai-research/",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "literature",
        "mcp",
        "research",
        "science",
        "skill",
        "skills"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 4,
      "open_issues": 14,
      "watchers": 109,
      "size_kb": 22625,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 35,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-08-27",
      "first_seen_is_baseline": true
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 328,
      "repo": "frianasoa/Ze-Notes",
      "stars": 107,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 33.32,
      "trend": {
        "id": "steady",
        "zh": "稳定",
        "en": "Steady"
      },
      "category": {
        "id": "literature-review",
        "zh": "文献综述",
        "en": "Literature Review"
      },
      "description": "Zotero plugin for note management. Helping you visualize your notes and annotations efficiently. ",
      "language": "TypeScript",
      "topics": [
        "ai-notes",
        "note",
        "note-manager",
        "note-prompt",
        "note-translate",
        "notes",
        "ocr",
        "plugin",
        "zotero",
        "zotero-addon",
        "zotero-plugin"
      ],
      "created_date": "2022-05-26",
      "last_push_date": "2026-10-28",
      "url": "https://github.com/frianasoa/Ze-Notes",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "literature review",
        "missing_academic_signal",
        "plugin",
        "readme_scope"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 5,
      "open_issues": 2,
      "watchers": 107,
      "size_kb": 60315,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-11-02",
      "first_seen_at": "2026-11-02T09:50:45Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 329,
      "repo": "handsomeZR-netizen/ko5.6sol",
      "stars": 105,
      "star_delta_1d": 0,
      "star_delta_7d": 1,
      "star_delta_30d": 1,
      "trend_score": 23.36,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Master Anti-AI Academic Paper Refactoring & Style Guide Skill to KO GPT-5.6 SOL mechanical phrasing & defensive disclaimers",
      "language": "",
      "topics": [],
      "created_date": "2026-08-11",
      "last_push_date": "2026-08-11",
      "url": "https://github.com/handsomeZR-netizen/ko5.6sol",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "paper",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 4,
      "open_issues": 0,
      "watchers": 105,
      "size_kb": 11,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 2,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-02",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 330,
      "repo": "spectrum527/academic-automation-skill",
      "stars": 104,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 46.29,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "literature search and download skill",
      "language": "Python",
      "topics": [],
      "created_date": "2026-10-26",
      "last_push_date": "2026-11-06",
      "url": "https://github.com/spectrum527/academic-automation-skill",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "literature",
        "literature search",
        "readme_scope",
        "skill"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 0,
      "open_issues": 0,
      "watchers": 104,
      "size_kb": 2476,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": false,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-01",
      "first_seen_at": "2026-11-01T09:32:53Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 331,
      "repo": "landawang-star/mathematical-modeling-review",
      "stars": 104,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 39.85,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "discipline-specific",
        "zh": "学科专项",
        "en": "Discipline Specific"
      },
      "description": "数学建模评审：提供全国大学生数学建模竞赛（CUMCM）论文问题诊断、修改方案和非官方奖项预测。仅供个人非商业使用。",
      "language": "Python",
      "topics": [],
      "created_date": "2026-07-16",
      "last_push_date": "2026-11-08",
      "url": "https://github.com/landawang-star/mathematical-modeling-review",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:skill_candidate",
        "missing_skill_signal",
        "readme_scope",
        "review",
        "论文"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 3,
      "open_issues": 1,
      "watchers": 104,
      "size_kb": 481,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "other",
        "name": "Other",
        "spdx_id": "NOASSERTION"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-11-06",
      "first_seen_at": "2026-11-06T09:41:05Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 332,
      "repo": "Aryan-Pardeshi/CiteProof-AI-MCP",
      "stars": 104,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 39.18,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "general-research",
        "zh": "综合研究",
        "en": "General Research"
      },
      "description": "Open-source research assistant and MCP audit toolkit for systematic reviews: cited research reports, PRISMA tracking, evidence and claim checks, and reproducible exports with human oversight.",
      "language": "Python",
      "topics": [
        "academic-research",
        "ai-agents",
        "citation-checking",
        "docker",
        "evidence-synthesis",
        "fastapi",
        "human-in-the-loop",
        "javascript",
        "langgraph",
        "llm",
        "mcp",
        "model-context-protocol",
        "multi-agent-systems",
        "openalex",
        "prisma",
        "python",
        "rag",
        "research-assistant",
        "semantic-scholar",
        "systematic-review"
      ],
      "created_date": "2026-07-01",
      "last_push_date": "2026-11-09",
      "url": "https://github.com/Aryan-Pardeshi/CiteProof-AI-MCP",
      "homepage": "https://citeproof.top/",
      "agents": [
        "mcp"
      ],
      "precision_signals": [
        "academic",
        "admission:skill_candidate",
        "assistant",
        "literature review",
        "mcp",
        "missing_strong_skill_signal",
        "readme_scope",
        "research",
        "review",
        "roo",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 9,
      "open_issues": 27,
      "watchers": 104,
      "size_kb": 54603,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": true,
      "has_discussions": true,
      "license": {
        "key": "mit",
        "name": "MIT License",
        "spdx_id": "MIT"
      },
      "skills_count": 1,
      "skills_count_complete": true,
      "repository_kind": "skill",
      "first_seen_date": "2026-10-27",
      "first_seen_at": "2026-10-27T16:17:18Z",
      "first_seen_is_baseline": false
    },
    {
      "refresh_status": "fresh",
      "metadata_checked_at": "2026-11-10T10:03:55Z",
      "pending_reason": null,
      "previous_names": [],
      "rank": 333,
      "repo": "AI45Lab/Awesome-Trustworthy-Embodied-AI",
      "stars": 100,
      "star_delta_1d": 0,
      "star_delta_7d": 0,
      "star_delta_30d": 0,
      "trend_score": 36.03,
      "trend": {
        "id": "rising",
        "zh": "持续增长",
        "en": "Rising"
      },
      "category": {
        "id": "deep-research",
        "zh": "深度研究",
        "en": "Deep Research"
      },
      "description": "",
      "language": "JavaScript",
      "topics": [],
      "created_date": "2025-08-20",
      "last_push_date": "2026-11-10",
      "url": "https://github.com/AI45Lab/Awesome-Trustworthy-Embodied-AI",
      "homepage": "",
      "agents": [],
      "precision_signals": [
        "admission:related",
        "manuscript",
        "missing_academic_signal",
        "missing_skill_signal",
        "readme_scope",
        "thesis"
      ],
      "stale": false,
      "verifies_citations": false,
      "forks": 3,
      "open_issues": 0,
      "watchers": 100,
      "size_kb": 11443,
      "default_branch": "main",
      "has_issues": true,
      "has_wiki": false,
      "has_discussions": false,
      "license": {
        "key": "",
        "name": "",
        "spdx_id": ""
      },
      "skills_count": 0,
      "skills_count_complete": true,
      "repository_kind": "related",
      "first_seen_date": "2026-10-28",
      "first_seen_at": "2026-10-28T08:55:06Z",
      "first_seen_is_baseline": false
    }
  ]
}
