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

If no auto-generated or manual transcript is available, the skill will inform you and suggest alternative approaches like analyzing the video description or comments.

Can it analyze videos longer than an hour?

Yes, the skill includes intelligent chunking logic specifically designed to process long-form content by splitting transcripts into manageable segments for the AI to analyze.

Will it help me implement code from a video tutorial?

Absolutely. It is designed to identify concrete code patterns and techniques, comparing them directly with your current project to highlight potential applications.

Does this skill require yt-dlp to be installed?

Yes, this skill 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

0•

학습 및 문서화

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

The YouTube Transcript Analyzer streamlines the process of learning from video content by programmatically extracting transcripts and providing deep, context-aware analysis. By leveraging yt-dlp for reliable subtitle retrieval and intelligent chunking for long-form videos, this skill allows users to bridge the gap between video tutorials and their own codebases. It specifically focuses on identifying architectural patterns, technical concepts, and practical applications, enabling developers to gain insights from talks, demonstrations, and presentations without needing to watch the entire video.

주요 기능

01Automated transcript extraction using yt-dlp integration

02Comprehensive metadata extraction for full video context

03Intelligent chunking for long-form content exceeding 45 minutes

040 GitHub stars

05Timestamp-based insight mapping for quick navigation to key moments

06Contextual analysis relating video concepts to current project code

사용 사례

01Extracting implementation patterns and code snippets from technical tutorials

02Comparing video-based demonstrations with existing codebase approaches for improvements

03Researching architectural concepts discussed in conference talks or presentations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add light-brands/brand-factory youtube-transcript-analyzer

For use in Claude.ai and ChatGPT

Download Skill