Développement
claude-legal-skill
AI contract review skill — CUAD risk detection with lawyer-ready redlines.
★ 459 étoilesMIT
Voir le guide →Skill_Seekers est un projet de développement open source, créé par yusufkaraaslan (yusufkaraaslan/Skill_Seekers sur GitHub). Il compte 15 118 étoiles sur GitHub et 1 540 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 30 septembre 2026.
Convert documentation sites, GitHub repos and PDFs into Claude AI skills and RAG-ready knowledge assets.
Choose what the AI should learn: a documentation site, a GitHub repo, a local codebase, a PDF, a video, or a mix of several sources in one config.
Install skill-seekers from PyPI, adding extras such as [mcp] or [video] only if you need those source types.
Run skill-seekers create on your source; it scrapes, categorizes, optionally enhances with AI, and detects conflicts between sources.
Package the output for your target - Claude, LangChain, a vector database or one of 19 coding agents - and start using it.
Create knowledge from documentation sites, GitHub repos, local codebases, PDFs, Word, EPUB, Jupyter notebooks, OpenAPI specs, PowerPoint, videos, Confluence, Notion, RSS and more.
Package once and export to 12 LLM platforms (Claude, Gemini, OpenAI and others), 8 RAG/vector targets (LangChain, LlamaIndex, Chroma, FAISS, Qdrant, Pinecone and more) and other formats.
AST parsing across languages, design-pattern detection, usage examples extracted from tests, and AI-written how-to guides from a repo's code, docs and community signals.
Unified multi-source scraping detects conflicts between sources and synthesizes across them when docs, code and PDFs disagree.
Enhance generated skills through provider APIs or local agents such as Claude Code, Codex and Copilot with no API costs, with 68 workflow presets.
Ships an MCP server (stdio or HTTP) with dozens of tools so Claude Code, Cursor and other clients can create and package skills conversationally.
Clone Skill Seekers if you want the source; most users install from PyPI instead.
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git
cd Skill_SeekersInstall the core CLI (scraping, GitHub, PDF and packaging) into your Python environment.
pip install skill-seekersTurn a documentation site into a skill, then package it as a Claude skill zip.
skill-seekers create https://docs.djangoproject.com/
skill-seekers package output/django --target claudeIt is developed by yusufkaraaslan with community contributors and sponsors.
Yes. The tool is MIT-licensed and free, including for commercial use.
Not necessarily: AI enhancement can run through local agents such as Claude Code with no API costs, or through provider APIs (Anthropic, Gemini, OpenAI and others) using your own key.
Skill Seekers automates the whole pipeline - scraping, categorization, enhancement, quality scoring and packaging for 22 targets - instead of hand-writing and maintaining skill files yourself.
Run pip install skill-seekers, then skill-seekers create <docs-url> and skill-seekers package to produce a ready-to-use skill zip.
AI contract review skill — CUAD risk detection with lawyer-ready redlines.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.