Skill Seekers
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills automatically. PyPI-published, 2,540+ tests.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
Skill Seekers
English | 简体中文 | 日本語 | 한국어 | Español | Français | Deutsch | Português | Türkçe | العربية | हिन्दी | Русский
🧠 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 - Browse 24+ preset configs, share your configs, and access complete documentation!
📋 View Development Roadmap & Tasks - 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 | Core CLI & MCP server (this repo) | PyPI |
| skillseekersweb | Website & documentation | Live |
| skill-seekers-configs | Community config repository | |
| skill-seekers-action | GitHub Action for CI/CD | |
| skill-seekers-plugin | Claude Code plugin | |
| 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.
# 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)
# 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)
# 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
# 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
// HOW IT'S BUILT
TECHNOLOGY STACK
This skill is built with Python., with containerization support.
KEY FILES