Agent skill · Data & Analytics

baoyu-youtube-transcript

Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.

JimLiugithub.com/JimLiuGitHub ↗
claude-codecodexships scriptsMIT
Install
npx skills add JimLiu/baoyu-skills --skill baoyu-youtube-transcript --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 9
SKILL.md size: 9 KB
Bundled scripts: yes
Version: 1.1.0
Path: skills/baoyu-youtube-transcript/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 24,562
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# YouTube Transcript Downloads transcripts (subtitles/captions) from YouTube videos. Works with both manually created and auto-generated transcripts. No API key or browser required — uses YouTube's InnerTube API directly and automatically falls back to `yt-dlp` when YouTube blocks the direct API path. Fetches video metadata and cover image on first run, caches raw data for fast re-formatting. ## Script Directory Scripts in `scripts/` subdirectory. `{baseDir}` = this SKILL.md's directory path. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun. Replace `{baseDir}` and `${BUN_X}` with actual values. | Script | Purpose | |--------|---------| | `scripts/main.ts` | Transcript download CLI | ## Usage ```bash # Default: markdown with timestamps (English) ${BUN_X} {baseDir}/scripts/main.ts <youtube-url-or-id> # Specify languages (priority order) ${BUN_X} {baseDir}/scripts/main.ts <url> --languages zh,en,ja # Without timestamps ${BUN_X} {baseDir}/scripts/main.ts <url> --no-timestamps # With chapter segmentation ${BUN_X} {baseDir}/scripts/main.ts <url> --chapters # With speaker identification (requires AI post-processing) ${

What's inside
Steps it walks through
  1. Script Directory
  2. Usage
  3. Options
  4. Optional Environment Variables
  5. Input Formats
  6. Output Formats
  7. Output Directory
  8. Caching
  9. Workflow
  10. Chapter & Speaker Workflow
  11. Chapters (--chapters)
  12. Speaker Identification (--speakers)
  13. Error Cases
Ships with 8 files
  • prompts/speaker-transcript.md
  • scripts/main.test.ts
  • scripts/main.ts
  • scripts/shared.ts
  • scripts/storage.ts
  • scripts/transcript.ts
  • scripts/types.ts
  • scripts/youtube.ts
Commands it runs
Specify languages (priority order)
Without timestamps
With chapter segmentation
With speaker identification (requires AI post-processing)
SRT subtitle file
Translate transcript
List available transcripts
Force re-fetch (ignore cache)
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About this skill
What does the baoyu-youtube-transcript skill do?

Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.

How do I install it?

Run `npx skills add JimLiu/baoyu-skills --skill baoyu-youtube-transcript --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From JimLiu/baoyu-skills, a repository with 24,562 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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