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yt-transcript

Skill1 starsChanged 14 days agoMITView on GitHub

Extract high-quality transcripts from YouTube videos using multiple methods.

  • Reads credentials

4 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create written summaries for videos

    line 30

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

YouTube Transcript Extraction

Extract high-quality transcripts from YouTube videos using multiple methods.

Commands

# Extract transcript from YouTube URL or video ID
/root/clawd/yt-transcript https://youtu.be/VIDEO_ID
/root/clawd/yt-transcript VIDEO_ID

Features

  • Dual fallback system: Tries Supadata API first, falls back to yt-dlp
  • Auto-generated transcripts: Works even if no manual captions exist
  • Clean output: Returns plain text transcript ready for analysis
  • Fast: API method completes in seconds

Use Cases

  • Summarize long videos without watching
  • Extract key quotes and insights
  • Content research and analysis
  • Create written summaries for videos
  • Extract educational content

Technical Details

  • Primary: Supadata API (fast, clean formatting)
  • Fallback: yt-dlp CLI tool (comprehensive, handles edge cases)
  • Output: Plain text transcript with timestamps removed
  • API key: Stored in .env as SUPADATA_API_KEY

Example Workflow

Rob sends YouTube link → Alto pulls transcript → summarizes key points → Rob decides if worth watching

Saves 10-30 minutes per video!

Download now (ZIP)

Does it work?

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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