Automatically fetch YouTube transcripts, generate structured summaries, and send full transcripts to messaging platforms. Use when a request includes YouTube URLs and needs metadata, key insights, or downloadable transcripts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Automatically fetch transcripts from YouTube videos, generate structured summaries, and deliver full transcripts to messaging platforms.
Activate this skill when:
summarize CLIThe summarize CLI already handles YouTube videos:
summarize "https://www.youtube.com/watch?v=VIDEO_ID" --youtube auto
This is the preferred method for YouTube summarization.
summarize "https://youtu.be/VIDEO_ID" --model google/gemini-3-flash-preview --youtube auto
summarize "URL" --youtube auto --length short # Brief summary
summarize "URL" --youtube auto --length long # Detailed summary
summarize "URL" --youtube auto --length xl # Very detailed
For more control, use the MCP server directly:
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' });
console.log(JSON.stringify(result, null, 2));
" > /tmp/yt-transcript.json
Extract video ID from these patterns:
https://www.youtube.com/watch?v=VIDEO_IDhttps://youtu.be/VIDEO_IDhttps://www.youtube.com/shorts/VIDEO_IDVIDEO_ID (11 characters)When generating summaries manually, use this format:
📹 **Video:** [title]
👤 **Channel:** [author] | 👁️ **Views:** [views] | 📅 **Published:** [date]
**🎯 Main Thesis:**
[1-2 sentence core argument/message]
**💡 Key Insights:**
- [insight 1]
- [insight 2]
- [insight 3]
- [insight 4]
- [insight 5]
**📝 Notable Points:**
- [additional point 1]
- [additional point 2]
**🔑 Takeaway:**
[Practical application or conclusion]
If transcript fetch fails:
lang: 'en' fallbackIf video ID extraction fails:
If using APIFY fallback:
export APIFY_API_TOKEN="..." # Optional, for YouTube fallback
Store in 1Password: op://Jarvis/Apify API/credential
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Use when working with the 1Password CLI (`op` command) for secrets management, retrieving API keys, injecting secrets into development environments, or any task involving 1Password vault operations. Triggers on: "1password", "op command", "secrets management", "api keys from vault", "op run", "op read", "service account token".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create and manage teams of specialized AI agents that work together on tasks. Use when setting up multi-agent workflows, agent squads for content/marketing/research pipelines, configuring heartbeat-based agent coordination, or managing agent personalities via SOUL.md files. Enables orchestration of multiple OpenClaw sessions as a coordinated team with shared task systems (Linear, Trello, etc.).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use when users request generative art, algorithmic art, flow fields, or particle systems. Create original works rather than copying existing artists.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
CSS and UI animation patterns for responsive, polished interfaces. Use when implementing hover effects, tooltips, button feedback, transitions, or fixing animation issues like flicker and shakiness.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when starting creative work (features, components, functionality, or behavior changes) to clarify user intent, requirements, and design before implementation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.