Agent skill · Media & Video

youtube-summarizer

Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill youtube-summarizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: none
Version: 2.0.0
Declared author: abe238
Path: skills/analysis/youtube-summarizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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. **This skill provides:** 1. **One-step transcript extraction** - Drop a YouTube URL, get the full transcript automatically 2. **Structured summarization** - Consistent format

What's inside
Steps it walks through
  1. Mode
  2. Why This vs ChatGPT?
  3. When to Use
  4. Dependencies
  5. Workflow
  6. 1. Detect YouTube URL
  7. 2. Fetch Transcript
  8. 3. Process the Data
  9. 4. Generate Summary
  10. 5. Save Full Transcript
  11. 6. Platform-Specific Delivery
  12. 7. Reply with Summary
  13. Real Case Study
  14. Why This Beats Manual Methods
Ships with 1 file
  • metadata.json
Commands it runs
cd /root/clawd
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
cd mcp-server-youtube-transcript
npm install && npm run build
cd /root/clawd/mcp-server-youtube-transcript && node --input-type=module -e "
import { getSubtitles } from './dist/youtube-fetcher.js';
const result = await getSubtitles({ videoID: 'VIDEO_ID', lang: 'en' });
message --action send --channel telegram --target CHAT_ID \
node --input-type=module -e "
const result = await getSubtitles({ videoID: 'dQw4w9WgXcQ', lang: 'en' });
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About this skill
What does the youtube-summarizer skill do?

Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill youtube-summarizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going