Research Extract
Description
Extract structured insights from YouTube, podcasts, blogs, PDFs, and audio using Claude Code agent teams. Skills.sh skill.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
research-extract
Extract structured insights from YouTube videos, podcasts, blogs, PDFs, and audio files using Claude Code's parallel agent teams.
What it does
Feed it any content source and it will:
- Ingest the content (download captions, transcribe audio, fetch articles)
- Chunk long transcripts into processable pieces
- Extract insights in parallel using agent teams (3 agents processing chunks simultaneously)
- Merge and rank all findings into a consolidated analysis
- Generate variants — Show Notes and Cheat Sheet HTML pages
What gets extracted
- Key insights with quotes and attribution
- Notable quotes
- Recurring themes with frequency counts
- Challenges and problems discussed
- Solutions and approaches proposed
- Concrete action items
- Frameworks and mental models
- External resources (books, tools, people, podcasts, courses)
Install
npx skills add katyella/research-extract
This installs into `.claude/skills/research-extract/` in your project.
First-time setup
bash .claude/skills/research-extract/scripts/setup.sh
Checks for required system tools (yt-dlp, pdftotext, whisper).
**Required:** `yt-dlp` (for YouTube). Install with `brew install yt-dlp` or `pip install yt-dlp`.
**Optional:** `whisper` (for audio without captions), `pdftotext` (for PDFs).
Usage
In Claude Code, use the `/research-extract` command:
/research-extract ingest https://youtube.com/watch?v=abc123 as my-talk
/research-extract analyze my-talk
/research-extract variants my-talk
/research-extract list sources
Full workflow example
> /research-extract ingest https://youtube.com/watch?v=abc123 as startup-advice
Ingested: startup-advice (How to Start a Startup - Sam Altman)
Transcript:
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