Ferramentas de desenvolvimento
claude-legal-skill
AI contract review skill — CUAD risk detection with lawyer-ready redlines.
★ 459 estrelasMIT
Ver o guia →Skill_Seekers é um projeto de ferramentas de desenvolvimento de código aberto de yusufkaraaslan (yusufkaraaslan/Skill_Seekers no GitHub). Tem 15.118 estrelas no GitHub e 1.540 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 30 de setembro de 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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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.