Can it handle videos that don't have manual captions?

Yes, the skill is configured to automatically fall back to auto-generated subtitles if manually created ones are unavailable.

Does this skill require any external tools?

Yes, you must have yt-dlp installed on your system via pip or Homebrew for the transcript extraction to function correctly.

Will it download the actual video file to my machine?

No, it uses the --skip-download flag to only fetch transcript data and metadata, ensuring a fast process that saves both bandwidth and storage.

How does it manage extremely long videos?

For videos exceeding 45 minutes, the skill splits the transcript into logical chunks, summarizes each segment, and provides an overall synthesis to maximize token efficiency.

YouTube Transcript Analyzer

Name: YouTube Transcript Analyzer
Author: Light-Brands

byLight-Brands

학습 및 문서화

Extracts and analyzes YouTube transcripts to provide actionable insights, technical concepts, and project-specific recommendations.

소개

The YouTube Transcript Analyzer streamlines the process of learning from video content by programmatically downloading transcripts and metadata using yt-dlp. It intelligently handles long-form videos through chunking and synthesis, allowing users to quickly extract key concepts, technical patterns, and timestamps without watching the entire video. Most importantly, it bridges the gap between educational video content and your specific codebase by highlighting direct applications and suggesting concrete code improvements.

주요 기능

Automated transcript extraction using yt-dlp for both manual and auto-generated captions
Intelligent chunking for long-form content to ensure processing of videos over 45 minutes
Metadata extraction providing context including title, author, and duration
0 GitHub stars
Detailed synthesis with specific timestamps for quick navigation to key video moments
Project-aware analysis that relates video concepts directly to your current local codebase

사용 사례

Extracting technical implementation details from conference talks or tutorials
Efficiently researching complex topics from long-form educational videos without manual watching
Comparing external architectural patterns with your existing project structure

소개

주요 기능

Automated transcript extraction using yt-dlp for both manual and auto-generated captions
Intelligent chunking for long-form content to ensure processing of videos over 45 minutes
Metadata extraction providing context including title, author, and duration
0 GitHub stars
Detailed synthesis with specific timestamps for quick navigation to key video moments
Project-aware analysis that relates video concepts directly to your current local codebase

사용 사례

Extracting technical implementation details from conference talks or tutorials
Efficiently researching complex topics from long-form educational videos without manual watching
Comparing external architectural patterns with your existing project structure