@mhagrelius/yt-transcribe

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SKILL.md
nameyt-transcribe
descriptionUse when user asks about YouTube video content, wants to know what a video says, needs information from a YouTube URL, or when video transcription would answer their question

YouTube Video Transcription

Overview

Use yt-transcribe to get the actual spoken content from YouTube videos. Web search and fetch tools cannot access video content - they only see metadata.

When to Use

Use this skill when:

  • User shares a YouTube URL and asks what it says/contains
  • User wants information that likely exists in a video
  • User asks "what does this video talk about?"
  • You need to extract spoken content from YouTube

Do NOT use:

  • For video metadata only (title, description) - web search is faster
  • When user explicitly wants just the link, not content

Quick Reference

Flag Purpose
-q Required for LLMs - clean stdout, no progress noise
-m tiny Faster transcription (less accurate)
-m medium More accurate (slower, larger model)
-o file Save to file instead of stdout
-f srt/vtt Include timestamps

Core Pattern

# Standard usage for LLM consumption
yt-transcribe "https://youtube.com/watch?v=VIDEO_ID" -q

# Faster but less accurate
yt-transcribe "https://youtube.com/watch?v=VIDEO_ID" -q -m tiny

# With timestamps
yt-transcribe "https://youtube.com/watch?v=VIDEO_ID" -q -f srt

Always use -q flag - suppresses progress output, gives clean transcript to stdout.

Workflow

  1. User provides YouTube URL or asks about video content
  2. Run: yt-transcribe "URL" -q
  3. Read and summarize the transcript for the user
  4. Answer their specific question using the transcript content

Common Mistakes

Mistake Fix
Trying WebFetch on YouTube URLs YouTube blocks bots, use yt-transcribe
Forgetting -q flag Progress output pollutes response, always use -q
Web searching for "what does video say" Search finds metadata, not content - transcribe instead
Using without setup Run yt-transcribe --setup first if binaries missing (exit code 5)

Exit Codes

  • 0 - Success
  • 5 - Binary not found (run --setup)
  • 3 - Network error
  • 4 - Transcription error

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