Does it work with videos that don't have manual subtitles?

Yes, the skill is configured to automatically fall back to auto-generated subtitles if manual ones are not provided by the creator.

Does this skill download large video files to my machine?

No, the skill uses the --skip-download flag to only fetch the text-based transcript and metadata, saving both time and bandwidth.

Do I need to install external software to use this skill?

Yes, this skill requires yt-dlp to be installed on your system. You can install it via 'pip install yt-dlp' or 'brew install yt-dlp'.

How does it handle very long videos or keynote presentations?

For videos exceeding 45 minutes, the skill uses intelligent chunking to process the transcript in segments, ensuring high-quality summaries without hitting token limits.

YouTube Transcript Analyzer

Name: YouTube Transcript Analyzer
Author: Light-Brands

byLight-Brands

学習とドキュメンテーション

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

概要

The YouTube Transcript Analyzer enables Claude to programmatically download, chunk, and synthesize video content using yt-dlp. It is designed to help developers and researchers extract key insights from technical tutorials, conference talks, and presentations without watching the full video. The skill intelligently handles long-form content by splitting transcripts into manageable segments, comparing video concepts directly against your local codebase, and providing timestamped summaries that relate directly to your current project goals.

主な機能

Automated transcript extraction using yt-dlp with support for auto-generated and manual subtitles
Comparative analysis mapping video architectural patterns to current project implementations
Context-aware metadata extraction including video titles, authors, and descriptions
Intelligent chunking for long-form content to optimize token usage and analysis depth
Timestamp-referenced insight reporting for quick navigation to critical video segments
0 GitHub stars

ユースケース

Summarizing multi-hour developer conferences into actionable technical takeaways
Researching specific implementation patterns from technical talks to improve local architecture
Implementing new frameworks by analyzing video tutorials and mapping them to your code

概要

主な機能

Automated transcript extraction using yt-dlp with support for auto-generated and manual subtitles
Comparative analysis mapping video architectural patterns to current project implementations
Context-aware metadata extraction including video titles, authors, and descriptions
Intelligent chunking for long-form content to optimize token usage and analysis depth
Timestamp-referenced insight reporting for quick navigation to critical video segments
0 GitHub stars

ユースケース

Summarizing multi-hour developer conferences into actionable technical takeaways
Researching specific implementation patterns from technical talks to improve local architecture
Implementing new frameworks by analyzing video tutorials and mapping them to your code