Skill Seekers

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🧠 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.

💛 Sponsors

Bronze Sponsors

Sponsor — Bronze

Become a sponsor · GitHub Sponsors

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🚀 Quick Start

# 1. Install
pip install skill-seekers

# 2. Create a skill from any source
skill-seekers create https://docs.djangoproject.com/

# Optional: preview how a source will be detected without creating anything
skill-seekers detect https://docs.djangoproject.com/ --json

# 3. Package it for your AI platform
skill-seekers package output/django --target claude

You now have output/django-claude.zip, ready to use.

# Pick a different AI agent for enhancement (default: claude)
skill-seekers create https://docs.djangoproject.com/ --agent kimi
skill-seekers create https://docs.djangoproject.com/ --agent-cmd "my-custom-agent run"

🛰️ AI-driven project scan

Point 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 -codebase.json for your own code:

skill-seekers scan ./my-react-app --out ./configs/scanned/
# → react.json, vite.json, tailwind.json, jest.json, my-react-app-codebase.json

skill-seekers create ./configs/scanned/react.json

If a detection has no existing preset, the AI generates a fresh config; on exit you can optionally publish it back to the community registry.

All 18 source types

skill-seekers create facebook/react            # GitHub repository
skill-seekers create ./my-project              # Local codebase
skill-seekers create manual.pdf                # PDF
skill-seekers create report.docx               # Word
skill-seekers create book.epub                 # EPUB
skill-seekers create notebook.ipynb            # Jupyter
skill-seekers create openapi.yaml              # OpenAPI/Swagger
skill-seekers create presentation.pptx         # PowerPoint
skill-seekers create guide.adoc                # AsciiDoc
skill-seekers create page.html                 # Local HTML (or a whole dir)
skill-seekers create feed.rss                  # RSS/Atom
skill-seekers create curl.1                    # Man page

# Video (YouTube, Vimeo, or local — needs skill-seekers[video])
skill-seekers create --video-url https://www.youtube.com/watch?v=... --name mytutorial
skill-seekers create --setup                   # auto-install GPU-aware visual deps

skill-seekers create --space-key TEAM --name wiki               # Confluence
skill-seekers create --database-id ... --name docs              # Notion
skill-seekers create --chat-export-path ./slack-export --name team-chat  # Slack/Discord

See the Scraping Guide for every source type and its options.

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📦 Installation

pip install skill-seekers              # Core: scraping, GitHub, PDF, packaging
pip install skill-seekers[all-llms]    # + every LLM platform
pip install skill-seekers[mcp]         # + MCP server
pip install skill-seekers[all]         # Everything

Not sure what you need? Run the wizard: skill-seekers-setup

All installation extras

Install	Adds
skill-seekers[gemini]	Google Gemini support
skill-seekers[openai]	OpenAI ChatGPT support
skill-seekers[all-llms]	All LLM platforms
skill-seekers[mcp]	MCP server for Claude Code, Cursor, etc.
skill-seekers[video]	YouTube/Vimeo transcript & metadata extraction
skill-seekers[video-full]	+ Whisper transcription & visual frame extraction
skill-seekers[jupyter]	Jupyter Notebook support
skill-seekers[pptx]	PowerPoint support
skill-seekers[confluence]	Confluence wiki support
skill-seekers[notion]	Notion pages support
skill-seekers[rss]	RSS/Atom feed support
skill-seekers[chat]	Slack/Discord chat export support
skill-seekers[asciidoc]	AsciiDoc support
skill-seekers[all]	Everything

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.

Prerequisites: Python 3.10+, Git. New here? → Bulletproof Quick Start 🎯

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📚 Documentation

I want to...	Read this
Get started quickly	Quick Start — 3 commands to your first skill
Understand the concepts	Core Concepts
Scrape sources	Scraping Guide — all 18 source types
Enhance skills with AI	Enhancement Guide · Enhancement Modes
Export skills	Packaging Guide
Build workflows	Workflows
Look up a command	CLI Reference — all 19 commands
Configure	Config Format · Environment Variables
Set up MCP	[MCP Setup](doc