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youtube-analysis

Extract YouTube transcripts and generate structured concept analyses with timestamps.

310|45|Updated Feb 22, 2026
Search Tags:#transcript#summarization#youtube#yt-dlp#youtube-transcript-api#concept-analysis
One-click install
npx skills add https://github.com/Mathews-Tom/praxis-skills --skill youtube-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: youtube-analysis
Source: https://github.com/Mathews-Tom/praxis-skills/tree/main/skills/youtube-analysis
Command: npx skills add https://github.com/Mathews-Tom/praxis-skills --skill youtube-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires youtube-transcript-api, yt-dlp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Convert raw YouTube captions into concise, structured concept analyses so users can quickly understand the main ideas, arguments, technical terms, and actionable takeaways from talks, tutorials, interviews, podcasts, and tech talks without watching the full video.

Core Features & Use Cases

  • Transcript extraction without API keys: Scrapes captions via youtube-transcript-api with a yt-dlp fallback to handle missing or auto-generated subtitles.
  • Structured, multi-level summaries: Produces TL;DR, key concepts, technical term definitions, notable quotes with approximate timestamps, and actionable takeaways.
  • Metadata & timestamped analysis: Extracts title, channel, duration, upload date, tags, and can chunk transcripts for deep, timestamped section-by-section breakdowns.
  • Use Case: Turn a conference talk or tutorial into lecture notes, a quick TL;DR, and a checklist of next steps for further study.

Quick Start

Analyze the YouTube video at https://www.youtube.com/watch?v=VIDEO_ID and produce a TL;DR, key concepts, timestamped summaries, and actionable takeaways.

Frequently Asked Questions about youtube-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract a YouTube transcript and summarize key concepts from a video?▼

To extract a YouTube transcript and summarize key concepts, provide the video URL to generate structured outputs including a TL;DR, technical term definitions, and actionable takeaways. The tool fetches captions via youtube-transcript-api and applies a yt-dlp fallback for missing subtitles.

Can I get timestamped lecture notes from YouTube tutorials and tech talks?▼

Yes, you can get timestamped lecture notes from YouTube tutorials and tech talks. The tool chunks the extracted transcript to produce timestamped section-by-section breakdowns, notable quotes with approximate timestamps, and key concept analyses.

Do I need an API key to fetch YouTube captions and generate video summaries?▼

No, you do not need an API key to fetch YouTube captions and generate video summaries. The extraction relies on scraping captions directly via youtube-transcript-api, utilizing yt-dlp only as a fallback for auto-generated or missing subtitles.

What's the best way to analyze YouTube podcasts and interviews without watching the full video?▼

The best way to analyze YouTube podcasts and interviews without watching is converting raw captions into structured concept analyses. This outputs multi-level summaries, key concepts, and actionable takeaways, reducing watch time while capturing core arguments and ideas.

Does this YouTube transcript extraction work with auto-generated subtitles?▼

Yes, YouTube transcript extraction works with auto-generated subtitles. When standard captions are unavailable, the tool utilizes a yt-dlp fallback mechanism to automatically fetch and process auto-generated subtitles for analysis.

What metadata is extracted alongside the YouTube video transcript?▼

Alongside the YouTube video transcript, the tool extracts metadata including the video title, channel name, duration, upload date, and tags. This contextual information accompanies the structured summaries and concept analyses.

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