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Youtube Transcribe Skill

feiskyer/codex-settings

This does exactly what it says: pulls transcripts from YouTube videos and saves them locally. It tries the fast path first with yt-dlp if you have it installed, complete with cookie handling to dodge sign-in walls. If that's not available, it falls back to browser automation through chrome-devtools-mcp, clicking through the UI to expand descriptions and extract transcripts via DOM injection. The browser fallback is clever but requires setup. You'll want this when you need video content in text form for analysis, documentation, or just archiving what someone said. Works with multiple subtitle languages and handles the timestamp formatting for you.

skills.sh installs
114
GitHub stars
249
last updated
Mar 9, 2026
View on GitHub

Install

$ npx -y skills add feiskyer/codex-settings --skill youtube-transcribe-skill --agent claude-code

Installs into .claude/skills of the current project.

Files

YouTube Transcript Extraction

Use the bundled scripts/transcribe_youtube.py wrapper for the primary workflow. It downloads subtitles with yt-dlp, selects the preferred language, converts WebVTT cues into timestamped plain text, and reports the output path and line count.

Requirements

  1. Install yt-dlp and confirm yt-dlp --version succeeds.
  2. Resolve the absolute directory containing this SKILL.md; refer to it as <skill-dir>.
  3. Keep the output in the user's current working directory unless they request another location.

The Python wrapper itself uses only the standard library. It can display --help without yt-dlp being installed.

Primary workflow

Run without browser cookies first:

python3 "<skill-dir>/scripts/transcribe_youtube.py" \
  "<youtube-url>" \
  --output-dir "$PWD"

The default language preference is Simplified Chinese, Traditional Chinese, other Chinese variants, then English. Override it when the user requests another language:

python3 "<skill-dir>/scripts/transcribe_youtube.py" \
  "<youtube-url>" \
  --languages "ja.*,en.*" \
  --output-dir "$PWD"
SKILL.md on GitHub

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Details

Repository
github.com/feiskyer/codex-settings
License
MIT
First seen
Jun 11, 2026

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