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youtube-transcript

Fetch transcripts from YouTube videos. Use when user says "get transcript", "fetch transcript", "YouTube transcript", "pull captions", "what does this video say", or pastes a YouTube URL and wants the text content extracted. Also use when user wants to research or summarize a YouTube video.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구YouTube
설치 방법 보기

포함된 파일(2)

  • SKILL.md2.1 KB
  • scripts/get_transcript.py2.2 KB

SKILL.md(원문)

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YouTube Transcript Extractor

Fetch and return transcripts from YouTube videos using the bundled Python script.

When to Activate

  • User pastes a YouTube URL and wants the transcript
  • User asks to "get the transcript" or "fetch captions" for a video
  • User wants to research, summarize, or extract learnings from a YouTube video
  • User provides multiple YouTube URLs for batch transcript extraction

How It Works

Step 1: Extract the transcript

Run the script with the video URL or ID:

uv run .claude/skills/youtube-transcript/scripts/get_transcript.py "VIDEO_URL_OR_ID"

For timestamped output:

uv run .claude/skills/youtube-transcript/scripts/get_transcript.py "VIDEO_URL_OR_ID" --timestamps

Step 2: Handle the output

Supported URL formats:

  • https://www.youtube.com/watch?v=VIDEO_ID
  • https://youtu.be/VIDEO_ID
  • https://www.youtube.com/embed/VIDEO_ID
  • Raw 11-character video ID

Output rules:

  • Never modify the returned transcript text. Present it exactly as returned.
  • When timestamps are not used, arrange the raw text into coherent paragraphs by topic for readability.
  • When timestamps are used, keep the [MM:SS] or [HH:MM:SS] format as-is.

Step 3: Save if requested

If the user asks to save the transcript:

  • Default filename: {video_id}-transcript.txt
  • Save to the location the user specifies, or to the current working directory

Multiple Videos

When given multiple URLs, run the script for each video sequentially. Present each transcript with a clear heading identifying the video.

Limitations

  • Requires the video to have captions enabled (manual or auto-generated)
  • Will not work on videos with captions disabled
  • Auto-generated captions may contain transcription errors - flag this to the user
  • Requires Python 3.10+ and uv installed locally

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