Youtube Summarizer

Drops a YouTube URL, gets a structured summary in 20 seconds plus the full timestamped transcript saved to file. Works on VPS instances where yt-dlp gets blocked by using Android client emulation. You pick quick mode for a three-bullet TL;DR, standard for thesis plus insights, or deep for chapter breakdowns and content repurposing angles. It auto-sends transcripts to Telegram if you want them there. One creator went from 30 minutes per competitor video analysis down to 20 seconds and built a searchable archive of 160 summaries. Beats manually copying captions into ChatGPT or watching videos at 2x speed taking notes.

skills.sh installs: 124
GitHub stars: 313
last updated: Jun 3, 2026

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Install

$ npx -y skills add brianrwagner/ai-marketing-skills --skill youtube-summarizer --agent claude-code

Installs into .claude/skills of the current project.

Files

YouTube Summarizer Skill

Automatically fetch transcripts from YouTube videos, generate structured summaries, and deliver full transcripts to messaging platforms.

Mode

Detect from context or ask: "Quick TL;DR, full summary, or full summary with content angles?"

Mode	What you get	Best for
`quick`	3-bullet TL;DR + single key takeaway	Fast consumption, sharing a clip
`standard`	Full structured summary: thesis, insights, takeaway	Learning, note-taking, research
`deep`	Full summary + chapter breakdown + content repurposing opportunities	Turning a video into a content asset

Default: standard — use quick if they just want the gist. Use deep if they want to extract the video into usable content.

Why This vs ChatGPT?

Problem with ChatGPT: It can't access YouTube transcripts directly. You have to manually copy/paste captions or use a third-party tool first, then feed the text to ChatGPT. Multi-step, clunky, loses video metadata.

SKILL.md on GitHub