Skill Seekers v3.2.0 adds YouTube tutorial extraction for Claude skills

Skill Seekers v3.2.0 adds video extraction capabilities to this open-source tool that converts documentation into Claude skills. You can now point it at a YouTube tutorial and get a structured SKILL.md file that Claude can use as persistent context.
How it works
The basic command is:
skill-seekers video --url https://youtube.com/watch?v=... --enhance-level 2
The pipeline includes:
- Transcript extraction using YouTube API → yt-dlp → Whisper fallback
- Keyframe extraction and classification (code editor, terminal, slides, webcam)
- OCR on code panels with multi-engine ensemble
- Code evolution tracking across frames (what lines were added/changed/removed)
- Two-pass AI enhancement for cleanup
Two-pass AI enhancement workflow
Pass 1 sends the raw reference file (noisy OCR + transcript) to Claude and asks it to reconstruct the Code Timeline. This fixes OCR errors like l/1 and O/0, removes UI junk that leaked in (Inspector panels, tab bars), and uses the transcript narration as context for what the code should be.
Pass 2 takes the cleaned reference and generates the final SKILL.md — a structured document with setup steps, code examples, and concepts extracted from the tutorial.
You can define custom enhancement workflows in YAML:
stages:
- name: ocr_code_cleanup
prompt: "Clean OCR artifacts from code blocks..."
- name: tutorial_synthesis
prompt: "Synthesize a teaching narrative..."
Technical insights from development
- OCR on code editors is surprisingly hard due to IDE decorations (line numbers, collapse markers, tab bars) leaking into text
- Frame classification matters — webcam frames produce pure garbage when OCR'd; skipping them cut junk output by ~40%
- The two-pass approach was a big quality jump, letting Claude see both OCR and transcript context to reconstruct mangled code
Other supported sources
- Documentation websites (presets for React, Vue, Django, FastAPI, Godot, Kubernetes, and more)
- GitHub repos (AST analysis, pattern detection)
- PDFs and Word docs
- Outputs to Claude, Gemini, OpenAI, or RAG formats (LangChain, Pinecone, ChromaDB, etc.)
Installation and setup
Install with: pip install skill-seekers
Video dependencies need GPU setup: skill-seekers video --setup (auto-detects CUDA/ROCm/CPU)
📖 Read the full source: r/ClaudeAI
👀 See Also

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