Do I need to install external software?

Yes, this skill requires yt-dlp to be installed on your system (via pip or Homebrew) to perform the actual transcript extraction.

Can it handle videos that are several hours long?

Yes, the skill includes specific logic to chunk transcripts exceeding 8,000 tokens into segments, providing a synthesized summary of the entire content.

Does it work with non-English videos?

The skill prioritizes English transcripts by default but can be configured to check for other available languages if English is not provided.

Does this skill require a YouTube API key?

No, it uses the yt-dlp command-line tool to extract transcripts and metadata directly from video URLs without requiring API credentials.

What happens if a video doesn't have a transcript?

If auto-generated or manual captions are unavailable, the skill will inform the user and suggest alternative approaches like analyzing video descriptions or comments.

YouTube Transcript Analyzer

Name: YouTube Transcript Analyzer
Author: Light-Brands

byLight-Brands

학습 및 문서화

Analyzes YouTube video transcripts to extract technical insights and relate them to your codebase.

소개

The YouTube Transcript Analyzer enables Claude to programmatically download, process, and interpret video content using yt-dlp. It simplifies technical research by extracting architectural patterns, coding techniques, and conceptual insights from conference talks or tutorials without requiring the user to watch the full video. The skill includes intelligent chunking for long-form content and provides structured analysis that maps video concepts directly to your project's specific requirements and implementation details.

주요 기능

Video metadata extraction for contextual analysis
Timestamp-referenced technical insights
Intelligent chunking for long-form videos (45+ minutes)
Project-specific implementation recommendations
Automated transcript extraction via yt-dlp (VTT and auto-subs)
0 GitHub stars

사용 사례

Researching technical concepts from conference presentations and tutorials
Comparing video-based architectural patterns with current project code
Extracting actionable code patterns from video demonstrations

소개

주요 기능

Video metadata extraction for contextual analysis
Timestamp-referenced technical insights
Intelligent chunking for long-form videos (45+ minutes)
Project-specific implementation recommendations
Automated transcript extraction via yt-dlp (VTT and auto-subs)
0 GitHub stars

사용 사례

Researching technical concepts from conference presentations and tutorials
Comparing video-based architectural patterns with current project code
Extracting actionable code patterns from video demonstrations