youtube
Extract transcripts from YouTube videos via the YouTube caption system
npx skills add axoviq-ai/synthadoc --skill youtube --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# YouTube Skill Extracts the transcript (captions) from a YouTube video using the YouTube caption system — no API key or audio download required. Optionally uses a vision-capable LLM to produce a structured summary (Overview, Topics, Key takeaways) before the raw transcript. ## Setup ```bash pip install youtube-transcript-api ``` ## Standalone usage **Transcript only** (no LLM required): ```python import asyncio from synthadoc.skills.youtube.scripts.main import YoutubeSkill skill = YoutubeSkill() # no provider — returns raw timestamped transcript async def main(): result = await skill.extract("https://www.youtube.com/watch?v=dQw4w9WgXcQ") print(result.text) # "[0:00] text [0:04] text ..." print(result.metadata) # {"video_id": "...", "title": "...", "url": "..."} asyncio.run(main()) ``` **With LLM summarization** (pass any provider that implements `complete()`): ```python skill = YoutubeSkill(provider=my_provider) result = await skill.extract(url) # result.text contains: # ## Executive Summary # <Overview / Topics / Key takeaways> # # ## Transcript # [0:00] ... ``` The provider must implement: ```python async def complete(messages, system=None, temperature=0.0, max_tokens=4096) -> o
- Setup
- Standalone usage
- When this skill is used
- Limitations
pip install youtube-transcript-api synthadoc ingest "youtube Moore's Law" synthadoc ingest "youtube kids: Sesame Street" synthadoc ingest "search for youtube: history of computing"
What does the youtube skill do?
Extract transcripts from YouTube videos via the YouTube caption system
How do I install it?
Run `npx skills add axoviq-ai/synthadoc --skill youtube --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From axoviq-ai/synthadoc, a repository with 857 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
