Skill Seekers

<p align="center"> <img src="docs/assets/logo.png" alt="Skill Seekers" width="200"/> </p> # Skill Seekers English | [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) [](https://github.com/yusufkaraaslan/Skill_Seekers/releases) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io) [](tests/) [](https://github.com/users/yusufkaraaslan/projects/2) [](https://pypi.org/project/skill-seekers/) [](https://pypi.org/project/skill-seekers/) [](https://pypi.org/project/skill-seekers/) [](https://skillseekersweb.com/) [](https://x.com/_yUSyUS_) [](https://github.com/yusufkaraaslan/Skill_Seekers) [](https://pepy.tech/projects/skill-seekers) <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> **🧠 The data layer for AI systems.** Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and 10+ more 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) in minutes, not hours. > 🌐 **[Visit SkillSeekersWeb.com](https://skillseekersweb.com/)** - Browse 24+ preset configs, share your configs, and access complete documentation! > 📋 **[View Development Roadmap & Tasks](https://github.com/users/yusufkaraaslan/projects/2)** - 134 tasks across 10 categories, pick any to contribute! ## 🌐 Ecosystem Skill Seekers is a multi-repo project. Here's where everything lives: | Repository | Description | Links | |-----------|-------------|-------| | **[Skill_Seekers](https://github.com/yusufkaraaslan/Skill_Seekers)** | Core CLI & MCP server (this repo) | [PyPI](https://pypi.org/project/skill-seekers/) | | **[skillseekersweb](https://github.com/yusufkaraaslan/skillseekersweb)** | Website & documentation | [Live](https://skillseekersweb.com/) | | **[skill-seekers-configs](https://github.com/yusufkaraaslan/skill-seekers-configs)** | Community config repository | | | **[skill-seekers-action](https://github.com/yusufkaraaslan/skill-seekers-action)** | GitHub Action for CI/CD | | | **[skill-seekers-plugin](https://github.com/yusufkaraaslan/skill-seekers-plugin)** | Claude Code plugin | | | **[homebrew-skill-seekers](https://github.com/yusufkaraaslan/homebrew-skill-seekers)** | Homebrew tap for macOS | | > **Want to contribute?** The website and configs repos are great starting points for new contributors! ## 🧠 The Data Layer for AI Systems **Skill Seekers is the universal preprocessing layer** that sits between raw documentation and every AI system that consumes it. Whether you are building Claude skills, a LangChain RAG pipeline, or a Cursor `.cursorrules` file — the data preparation is identical. You do it once, and export to all targets. ```bash # One command → structured knowledge asset skill-seekers create https://docs.react.dev/ # or: skill-seekers create facebook/react # or: skill-seekers create ./my-project # Export to any AI system skill-seekers package output/react --target claude # → Claude AI Skill (ZIP) skill-seekers package output/react --target langchain # → LangChain Documents skill-seekers package output/react --target llama-index # → LlamaIndex TextNodes skill-seekers package output/react --target cursor # → .cursorrules ``` ### What gets built | Output | Target | What it powers | |--------|--------|---------------| | **Claude Skill** (ZIP + YAML) | `--target claude` | Claude Code, Claude API | | **Gemini Skill** (tar.gz) | `--target gemini` | Google Gemini | | **OpenAI / Custom GPT** (ZIP) | `--target openai` | GPT-4o, custom assistants | | **LangChain Documents** | `--target langchain` | QA chains, agents, retrievers | | **LlamaIndex TextNodes** | `--target llama-index` | Query engines, chat engines | | **Haystack Documents** | `--target haystack` | Enterprise RAG pipelines | | **Pinecone-ready** (Markdown) | `--target markdown` | Vector upsert | | **ChromaDB / FAISS / Qdrant** | `--format chroma/faiss/qdrant` | Local vector DBs | | **Cursor** `.cursorrules` | `--target claude` → copy | Cursor IDE AI context | | **Windsurf / Cline / Continue** | `--target claude` → copy | VS Code, IntelliJ, Vim | ### Why it matters - ⚡ **99% faster** — Days of manual data prep → 15–45 minutes - 🎯 **AI Skill quality** — 500+ line SKILL.md files with examples, patterns, and guides - 📊 **RAG-ready chunks** — Smart chunking preserves code blocks and maintains context - 🎬 **Videos** — Extract code, transcripts, and structured knowledge from YouTube and local videos - 🔄 **Multi-source** — Combine 17 source types (docs, GitHub, PDFs, videos, notebooks, wikis, and more) into one knowledge asset - 🌐 **One prep, every target** — Export the same asset to 16 platforms without re-scraping - ✅ **Battle-tested** — 2,540+ tests, 24+ framework presets, production-ready ## 🚀 Quick Start (3 Commands) ```bash # 1. Install pip install skill-seekers # 2. Create skill from any source skill-seekers create https://docs.django.com/ # 3. Package for your AI platform skill-seekers package output/django --target claude ``` **That's it!** You now have `output/django-claude.zip` ready to use. ### Other Sources (17 Supported) ```bash # GitHub repository skill-seekers create facebook/react # Local project skill-seekers create ./my-project # PDF document skill-seekers create manual.pdf # Word document skill-seekers create report.docx # EPUB e-book skill-seekers create book.epub # Jupyter Notebook skill-seekers create notebook.ipynb # OpenAPI spec skill-seekers create openapi.yaml # PowerPoint presentation skill-seekers create presentation.pptx # AsciiDoc document skill-seekers create guide.adoc # Local HTML file skill-seekers create page.html # RSS/Atom feed skill-seekers create feed.rss # Man page skill-seekers create curl.1 # Video (YouTube, Vimeo, or local file — requires skill-seekers[video]) skill-seekers video --url https://www.youtube.com/watch?v=... --name mytutorial # First time? Auto-install GPU-aware visual deps: skill-seekers video --setup # Confluence wiki skill-seekers confluence --space TEAM --name wiki # Notion pages skill-seekers notion --database-id ... --name docs # Slack/Discord chat export skill-seekers chat --export-dir ./slack-export --name team-chat ``` ### Export Everywhere ```bash # Package for multiple platforms for platform in claude gemini openai langchain; do skill-seekers package output/django --target $platform done ``` ## What is Skill Seekers? Skill