{"repo":"yusufkaraaslan/Skill_Seekers","free":true,"listed":false,"github":"https://github.com/yusufkaraaslan/Skill_Seekers","clone":"git clone https://github.com/yusufkaraaslan/Skill_Seekers.git","description":"Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection","language":"Python","stars":14772,"topics":["ai-tools","ast-parser","automation","claude-ai","claude-skills","code-analysis","conflict-detection","documentation","documentation-generator","github","github-scraper","mcp","mcp-server","multi-source","ocr","pdf","python","web-scraping"],"license":"MIT","category":"data_ingestion_platform","readme_excerpt":"<p align=\"center\">\n  <img src=\"docs/assets/logo.png\" alt=\"Skill Seekers\" width=\"200\"/>\n</p>\n\n# Skill Seekers\n\nEnglish | [简体中文](README.zh-CN.md) | [日本語](README.ja.md) | [한국어](README.ko.md) | [Español](README.es.md) | [Français](README.fr.md) | [Deutsch](README.de.md) | [Português](README.pt-BR.md) | [Türkçe](README.tr.md) | [العربية](README.ar.md) | [हिन्दी](README.hi.md) | [Русский](README.ru.md)\n\n[![Version](https://img.shields.io/badge/version-3.9.0-blue.svg)](https://github.com/yusufkaraaslan/Skill_Seekers/releases)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![MCP Integration](https://img.shields.io/badge/MCP-40-Tools-blue.svg)](https://modelcontextprotocol.io)\n[![Tested](https://img.shields.io/badge/Tests-3900%2B%20Passing-brightgreen.svg)](tests/)\n[![PyPI version](https://badge.fury.io/py/skill-seekers.svg)](https://pypi.org/project/skill-seekers/)\n[![PyPI - Downloads](https://img.shields.io/pypi/dm/skill-seekers.svg)](https://pypi.org/project/skill-seekers/)\n[![Website](https://img.shields.io/badge/Website-skillseekersweb.com-blue.svg)](https://skillseekersweb.com/)\n[![GitHub Repo stars](https://img.shields.io/github/stars/yusufkaraaslan/Skill_Seekers?style=social)](https://github.com/yusufkaraaslan/Skill_Seekers)\n[![PyPI Downloads](https://static.pepy.tech/personalized-badge/skill-seekers?period=total&units=INTERNATIONAL_SYSTEM&left_color=BLACK&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/skill-seekers)\n\n<a href=\"https://trendshift.io/repositories/18329\" target=\"_blank\"><img src=\"https://trendshift.io/api/badge/repositories/18329\" alt=\"yusufkaraaslan%2FSkill_Seekers | Trendshift\" style=\"width: 250px; height: 55px;\" width=\"250\" height=\"55\"/></a>\n\n**🧠 The data layer for AI systems.** Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and more — **18 source types** — into structured knowledge assets, ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline). Prepare once, export to **22 targets**.\n\n## 💛 Sponsors\n\n<!-- SPONSORS:START -->\n### Launch Partner\n\n<p align=\"center\">\n  <a href=\"https://www.atlascloud.ai/\"><img src=\"docs/assets/sponsors/atlas-cloud.png\" alt=\"Atlas Cloud\" width=\"200\"></a><br/><sub><b>Launch Partner</b></sub>\n</p>\n\n[Atlas Cloud](https://www.atlascloud.ai/) — A full-modal, OpenAI-compatible AI inference platform. Skill Seekers supports it as a packaging/enhancement target via `--target atlas` with `ATLAS_API_KEY`.\n\n### Silver Sponsors\n\n<p align=\"center\">\n  <a href=\"https://www.rapidproxy.io/?utm_source=skillseekers&utm_medium=sponsor\"><img src=\"docs/assets/sponsors/rapidproxy.png\" alt=\"RapidProxy\" width=\"140\"></a><br/><sub><b>Sponsor — Silver</b></sub>\n</p>\n<!-- SPONSORS:END -->\n\n**[Become a sponsor](SPONSORSHIP.md)** · [GitHub Sponsors](https://github.com/sponsors/yusufkaraaslan)\n\n---\n\n## 🚀 Quick Start\n\n```bash\n# 1. Install\npip install skill-seekers\n\n# 2. Create a skill from any source\nskill-seekers create https://docs.djangoproject.com/\n\n# 3. Package it for your AI platform\nskill-seekers package output/django --target claude\n```\n\nYou now have `output/django-claude.zip`, ready to use.\n\n```bash\n# Pick a different AI agent for enhancement (default: claude)\nskill-seekers create https://docs.djangoproject.com/ --agent kimi\nskill-seekers create https://docs.djangoproject.com/ --agent-cmd \"my-custom-agent run\"\n```\n\n### 🛰️ AI-driven project scan\n\nPoint `scan` at a project and an AI agent reads its manifests, README, Dockerfile/CI and sampled source imports — then emits one config per detected framework, plus a `<project>-codebase.json` for your own code:\n\n```bash\nskill-seekers scan ./my-react-app --out ./configs/scanned/\n# → react.json, vite.json, tailwind.json, jest.json, my-react-app-codebase.json\n\nskill-seekers create ./configs/scanned/react.json\n```\n\nIf a detection has no existing preset, the AI generates a fresh config; on exit you can optionally publish it back to the [community registry](https://github.com/yusufkaraaslan/skill-seekers-configs).\n\n### All 18 source types\n\n```bash\nskill-seekers create facebook/react            # GitHub repository\nskill-seekers create ./my-project              # Local codebase\nskill-seekers create manual.pdf                # PDF\nskill-seekers create report.docx               # Word\nskill-seekers create book.epub                 # EPUB\nskill-seekers create notebook.ipynb            # Jupyter\nskill-seekers create openapi.yaml              # OpenAPI/Swagger\nskill-seekers create presentation.pptx         # PowerPoint\nskill-seekers create guide.adoc                # AsciiDoc\nskill-seekers create page.html                 # Local HTML (or a whole dir)\nskill-seekers create feed.rss                  # RSS/Atom\nskill-seekers create curl.1                    # Man page\n\n# Video (YouTube, Vimeo, or local — needs skill-seekers[video])\nskill-seekers create --video-url https://www.youtube.com/watch?v=... --name mytutorial\nskill-seekers create --setup                   # auto-install GPU-aware visual deps\n\nskill-seekers create --space-key TEAM --name wiki               # Confluence\nskill-seekers create --database-id ... --name docs              # Notion\nskill-seekers create --chat-export-path ./slack-export --name team-chat  # Slack/Discord\n```\n\nSee the [Scraping Guide](docs/user-guide/02-scraping.md) for every source type and its options.\n\n---\n\n## 📦 Installation\n\n```bash\npip install skill-seekers              # Core: scraping, GitHub, PDF, packaging\npip install skill-seekers[all-llms]    # + every LLM platform\npip install skill-seekers[mcp]         # + MCP server\npip install skill-seekers[all]         # Everything\n```\n\n**Not sure what you need?** Run the wizard: `skill-seekers-setup`\n\n<details>\n<summary><b>All installation extras</b></summary>\n\n| Install | Adds |\n|---------|------|\n| `skill-seekers[gemini]` | Google Gemini support |\n| `skill-seekers[openai]` | OpenAI ChatGPT support |\n| `skill-seekers[all-llms]` | All LLM platforms |\n| `skill-seekers[mcp]` | MCP server for Claude Code, Cursor, etc. |\n| `skill-seekers[video]` | YouTube/Vimeo transcript & metadata extraction |\n| `skill-seekers[video-full]` | + Whisper transcription & visual frame extraction |\n| `skill-seekers[jupyter]` | Jupyter Notebook support |\n| `skill-seekers[pptx]` | PowerPoint support |\n| `skill-seekers[confluence]` | Confluence wiki support |\n| `skill-seekers[notion]` | Notion pages support |\n| `skill-seekers[rss]` | RSS/Atom feed support |\n| `skill-seekers[chat]` | Slack/Discord chat export support |\n| `skill-seekers[asciidoc]` | AsciiDoc support |\n| `skill-seekers[all]` | Everything |\n\n> **Video visual deps (GPU-aware):** after installing `skill-seekers[video-full]`, run `skill-seekers create --setup` to auto-detect your GPU and install the matching PyTorch variant + easyocr.\n\n</details>\n\n**Prerequisites:** Python 3.10+, Git. New here? → **[Bulletproof Quick Start](docs/getting-started/BULLETPROOF_QUICKSTART.md)** 🎯\n\n---\n\n## 📚 Documentation\n\n| I want to... | Read this |\n|--------------|-----------|\n| **Get started quickly** | [Quick Start](docs/getting-started/02-quick-start.md) — 3 commands to your first skill |\n| **Understand the concepts** | [Core Concepts](docs/user-guide/01-core-concepts.md) |\n| **Scrape sources** | [Scraping Guide](docs/user-guide/02-scraping.md) — all 18 source types |\n| **Enhance skills with AI** | [Enhancement Guide](docs/user-guide/03-enhancement.md) · [Enhancement Modes](docs/features/ENHANCEMENT_MODES.md) |\n| **Export skills** | [Packaging Guide](docs/user-guide/04-packaging.md) |\n| **Build workflows** | [Workflows](docs/user-guide/05-workflows.md) |\n| **Look up a command** | [CLI Reference](docs/reference/CLI_REFERENCE.md) — all 19 commands |\n| **Configure** | [Config Format](docs/reference/CONFIG_FORMAT.md) · [Environment Variables](docs/reference/ENVIRONMENT_VARIABLES.md) |\n| **Set up MCP** | [MCP Setup](docs/guides/MCP_SETUP.md) · [MCP Reference](docs/reference/MCP_REFERENCE.md) |\n| **Integrate with RAG / IDEs** | [LangChain](docs/integrations/LANGCHAIN.md) · [RAG Pipelines](docs/integrations/RAG_PIPELINES.md) · [Cursor](docs/integrations/CURSOR.md) · [Windsurf](docs/integrations/WINDSURF.md) · [Cline](docs/integrations/CLINE.md) |\n| **Handle huge doc sets** | [Large Documentation](docs/reference/LARGE_DOCUMENTATION.md) — 10K–40K+ pages |\n| **Understand the architecture** | [UML Architecture](docs/UML_ARCHITECTURE.md) — 14 diagrams |\n| **Fix a problem** | [Troubleshooting](docs/user-guide/06-troubleshooting.md) |\n\n**Complete documentation index:** [docs/README.md](docs/README.md)\n\n---\n\n## 🎯 What you get\n\n| Use case | Output | Powers |\n|----------|--------|--------|\n| **AI Skills** | Comprehensive `SKILL.md` + reference files | Claude Code, Gemini, GPT |\n| **RAG pipelines** | Chunked documents with rich metadata | LangChain, LlamaIndex, Haystack |\n| **Vector databases** | Pre-formatted data ready for upsert | Pinecone, Chroma, Weaviate, FAISS, Qdrant |\n| **AI coding assistants** | Context files your IDE AI reads automatically | Cursor, Windsurf, Cline, Continue.dev |\n\n### Export targets (22)\n\n```bash\nskill-seekers package output/react --target claude      # → Claude Skill (ZIP + YAML)\nskill-seekers package output/react --target langchain   # → LangChain Documents\nskill-seekers package output/react --target llama-index # → LlamaIndex TextNodes\nskill-seekers package output/react --target ibm-bob     # → IBM Bob skill directory\n```\n\n**LLM platforms (12):** `claude` · `gemini` · `openai` · `minimax` · `opencode` · `kimi` · `deepseek` · `qwen` · `openrouter` · `together` · `fireworks` · `markdown`\n**RAG & vector (8):** `langchain` · `llama-index` · `haystack` · `chroma` · `faiss` · `weaviate` · `qdrant` · `pinecone`\n**Other (2):** `atlas` · 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