How does it handle very long videos?

For videos over 45 minutes, the skill uses intelligent chunking to split the transcript into logical segments, summarizing each to maintain context while staying within token limits.

Will this skill clutter my project directory?

No, it is designed to create and use temporary directories for all downloads, ensuring your repository remains clean during the analysis process.

Can it analyze videos that don't have English subtitles?

The skill prefers English subtitles by default but can list and download subtitles in other languages if they are available on the video.

What happens if a video has no transcript available?

If no captions are found, the skill will notify you and offer to analyze alternative sources like the video description or user comments.

Does this skill require any external tools?

Yes, it requires yt-dlp to be installed on your system (via pip or Homebrew) to handle the transcript extraction and metadata retrieval.

YouTube Transcript Analyzer

Name: YouTube Transcript Analyzer
Author: Light-Brands

byLight-Brands

Learning & Documentation

Extracts and analyzes YouTube video transcripts to provide technical insights and relate video content to your codebase.

About

The YouTube Transcript Analyzer is a specialized skill for Claude Code designed to streamline technical research and learning from video content. By leveraging yt-dlp, it automates the extraction of manual or auto-generated subtitles, processes them through intelligent chunking for long-form content, and provides a structured synthesis of key concepts. This skill is particularly useful for developers who need to distill architectural patterns, tutorials, or conference talks into actionable insights that can be directly compared and applied to their current project's implementation.

Key Features

Timestamp-referenced concept extraction for quick navigation to relevant video sections
Structured analysis reports including metadata, key insights, and project relevance
Automated transcript extraction using yt-dlp with support for multiple languages
Temporary directory management to keep repositories clean during analysis
Intelligent chunking and summarization for long-form videos exceeding 45 minutes
0 GitHub stars

Use Cases

Summarizing long educational tutorials to understand new frameworks without watching the entire video
Extracting specific code patterns and technical recommendations from developer conference presentations
Comparing architectural approaches discussed in technical videos with an existing project's implementation

About

Key Features

Timestamp-referenced concept extraction for quick navigation to relevant video sections
Structured analysis reports including metadata, key insights, and project relevance
Automated transcript extraction using yt-dlp with support for multiple languages
Temporary directory management to keep repositories clean during analysis
Intelligent chunking and summarization for long-form videos exceeding 45 minutes
0 GitHub stars

Use Cases

Summarizing long educational tutorials to understand new frameworks without watching the entire video
Extracting specific code patterns and technical recommendations from developer conference presentations
Comparing architectural approaches discussed in technical videos with an existing project's implementation