axoviq-ai/youtube
Extract transcripts from YouTube videos via the YouTube caption system
npx skills add https://github.com/axoviq-ai/synthadoc --skill youtube
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.
pip install youtube-transcript-api
Transcript only (no LLM required):
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()):
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:
async def complete(messages, system=None, temperature=0.0, max_tokens=4096)
-> object with .text (str), .input_tokens (int), .output_tokens (int)
Message (used to build the messages list) is importable from
synthadoc.skills.base:
from synthadoc.skills.base import Message
https://www.youtube.com/, https://youtu.be/, orhttps://www.youtubekids.com/
To search YouTube by topic instead of ingesting a specific URL, use the web
search skill — it filters Tavily results to YouTube domains automatically:
synthadoc ingest "youtube Moore's Law"
synthadoc ingest "youtube kids: Sesame Street"
synthadoc ingest "search for youtube: history of computing"
If no captions are available the source is skipped with a warning.
Take axoviq-ai/youtube from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.