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Fetch transcripts from YouTube videos using yt-dlp. Supports any language with auto-generated or manual captions. Use for summarization, analysis, or translation tasks.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Analyze pi session transcripts to discover patterns that could become AGENTS.md rules, skills, or prompt templates. Mines your usage history for automation opportunities.
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Build LLM-ready code dumps with optional docs, then count tokens with tokencount (o200k-base) against a context budget (for example 272k for GPT-5).
Compress images to a target file size using macOS sips. No dependencies required.
Multi-model code review. Runs code-review skill with 3 models in parallel, then synthesizes findings.
| name | youtube-transcript |
| description | Fetch transcripts from YouTube videos using yt-dlp. Supports any language with auto-generated or manual captions. Use for summarization, analysis, or translation tasks. |
Fetch transcripts from YouTube videos using yt-dlp.
brew install yt-dlp jq
{baseDir}/transcript.sh <video-url-or-id> [language]
# English (default)
{baseDir}/transcript.sh "https://youtu.be/dQw4w9WgXcQ"
# Polish
{baseDir}/transcript.sh "https://youtu.be/ksWAT3uqlWA" pl
# German
{baseDir}/transcript.sh "https://www.youtube.com/watch?v=VIDEO_ID" de
# Just video ID works too
{baseDir}/transcript.sh dQw4w9WgXcQ
Timestamped transcript:
[0:00] [Music]
[0:18] We're no strangers to
[0:21] love. You know the rules...
[1:23] Never gonna give you up
Any language code: en, pl, de, es, ja, pt, fr, it, etc.
Use yt-dlp --list-subs <url> to see available languages for a video.