// 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.
| name | youtube-summarizer |
| description | 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. |
| version | 2.0.0 |
| author | abe238 |
| tags | ["youtube","transcription","summarization","video","telegram"] |
Automatically fetch transcripts from YouTube videos, generate structured summaries, and deliver full transcripts to messaging platforms.
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:
You can replicate this by manually enabling captions, copying text, pasting to ChatGPT, reformatting the output, saving to a file, and uploading. Takes 5-10 minutes. This skill does it in 15-20 seconds.
Activate this skill when:
Required: MCP YouTube Transcript server must be installed at:
/root/clawd/mcp-server-youtube-transcript
If not present, install it:
cd /root/clawd
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
cd mcp-server-youtube-transcript
npm install && npm run build
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)Run this command to get the transcript:
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
Replace VIDEO_ID with the extracted ID. Read the output from /tmp/yt-transcript.json.
Parse the JSON to extract:
result.metadata.title - Video titleresult.metadata.author - Channel nameresult.metadata.viewCount - Formatted view countresult.metadata.publishDate - Publication dateresult.actualLang - Language usedresult.lines - Array of transcript segmentsFull text: result.lines.map(l => l.text).join(' ')
Create a structured summary using this template:
📹 **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]
Aim for:
Save the complete transcript to a timestamped file:
/root/clawd/transcripts/YYYY-MM-DD_VIDEO_ID.txt
Include in the file:
If channel is Telegram:
message --action send --channel telegram --target CHAT_ID \
--filePath /root/clawd/transcripts/YYYY-MM-DD_VIDEO_ID.txt \
--caption "📄 YouTube Transcript: [title]"
If channel is other/webchat: Just reply with the summary (no file attachment).
Send the structured summary as your response to the user.
User: Content creator researching competitor YouTube strategies
Challenge: Needed to analyze 20+ competitor videos per week to identify trending topics, messaging patterns, and content gaps. Manual process: watch video, take notes, transcribe key quotes. Time: 30-45 min per video.
Solution with youtube-summarizer:
Workflow example:
User: Analyze this video: https://youtube.com/watch?v=abc123
[20 seconds later]
📹 Video: "10 AI Tools That Will Replace Your Job in 2026"
👤 Channel: TechFuturist | 👁️ Views: 847K | 📅 Published: Jan 12, 2026
🎯 Main Thesis:
AI tools are automating creative and knowledge work faster than expected, but the real opportunity is in augmentation, not replacement.
💡 Key Insights:
- ChatGPT usage among marketers jumped from 12% to 67% in one year
- Video editing time reduced by 80% using AI tools like Descript
- The biggest wins come from combining tools (Notion + Claude + Zapier)
- Companies hiring "AI workflow designers" to optimize human-AI collaboration
- Workers using AI secretly outperform peers by 40% (BCG study)
📝 Notable Points:
- Shows examples of 3 small businesses that 10× output with AI
- Warns against over-automation: "AI can write, but can't think strategically"
🔑 Takeaway:
Don't ask "Will AI replace me?" Ask "How can I use AI to become 10× more valuable?"
Results after 8 weeks:
| Method | Time | Gets Metadata | Structured Output | Searchable Archive | Cloud-Friendly |
|---|---|---|---|---|---|
| Watch + take notes | 30-45 min | No | No | Manual only | N/A |
| YouTube transcript feature | 5 min | No | No | No | Yes |
| yt-dlp | 2-5 min | Yes | No | Yes | ❌ Blocked on VPS |
| Copy to ChatGPT | 10 min | No | Sometimes | No | Yes |
| This skill | 20 sec | Yes | Yes | Yes | ✅ Works on VPS |
If transcript fetch fails:
lang: 'en' fallback if requested language unavailableIf MCP server not installed:
If video ID extraction fails:
If video is age-restricted or private:
Input: https://youtube.com/watch?v=dQw4w9WgXcQ
Output:
📹 **Video:** "Building a SaaS from Scratch: Lessons from $10K MRR"
👤 **Channel:** IndieHackerTV | 👁️ **Views:** 124K | 📅 **Published:** Feb 1, 2026
**🎯 Main Thesis:**
Most SaaS founders fail because they build for 6 months before talking to customers. The path to $10K MRR is customer conversations first, MVP second.
**💡 Key Insights:**
- Interviewed 50 potential customers before writing a single line of code
- First paid customer signed up with a Figma mockup (no product built yet)
- Charged $99/month from day 1 (no free tier, no discounts)
- Spent $0 on ads; all growth from Twitter + Reddit engagement
- Hit $10K MRR in 9 months by saying "no" to feature requests that didn't fit ICP
**📝 Notable Points:**
- Used Stripe payment links before building a billing system
- First 3 customers came from solving their problem in public on Twitter
- Weekly "build in public" updates on Twitter drove 40% of signups
**🔑 Takeaway:**
Validate demand before building. If 10 people won't pay for a mockup, 1,000 won't pay for the real product.
Input: https://youtu.be/abc123xyz
Output:
📹 **Video:** "Why Notion's Business Model is Genius"
👤 **Channel:** SaaS Breakdowns | 👁️ **Views:** 456K | 📅 **Published:** Jan 28, 2026
**🎯 Main Thesis:**
Notion's growth strategy flips traditional SaaS: give away the product for free to individuals, monetize when they bring it to work.
**💡 Key Insights:**
- 80% of Notion's enterprise deals started with a single employee using the free plan
- Bottom-up adoption = zero sales team needed for first $10M ARR
- Templates marketplace created a content flywheel (100K+ free templates)
- Personal use (free) → Team use (paid) conversion rate: 23% (industry avg: 2-5%)
- Community evangelism replaced traditional marketing (4M+ Reddit/Discord members)
**📝 Notable Points:**
- Notion's viral coefficient: 1.4 (every user invites 1.4 others on average)
- Template creators drive 30% of new user acquisition
- Pricing strategy: free until 10 people = no friction to start
**🔑 Takeaway:**
Build a product individuals love first. Enterprise sales will follow when employees demand it at work.
For Better Summaries:
For Research Workflows:
grep or text search to find mentions of specific topicsFor Content Creation:
youtube-summarizer [URL]
youtube-summarizer [URL] --quick
youtube-summarizer [URL] --deep
youtube-summarizer [URL] --lang es
# 1. Clone and install MCP server
cd /root/clawd
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
cd mcp-server-youtube-transcript
npm install && npm run build
# 2. Test installation
node --input-type=module -e "
import { getSubtitles } from './dist/youtube-fetcher.js';
const result = await getSubtitles({ videoID: 'dQw4w9WgXcQ', lang: 'en' });
console.log(result.metadata.title);
"
# 3. Create transcripts directory
mkdir -p /root/clawd/transcripts
# 4. Verify skill is ready
youtube-summarizer --check-setup
Issue: "Transcript not available"
Issue: "Failed to fetch transcript" (on VPS)
cd /root/clawd/mcp-server-youtube-transcript && git pull && npm install && npm run buildIssue: "Video ID not recognized"
Issues or suggestions? Provide:
cd /root/clawd/mcp-server-youtube-transcript && git rev-parse HEADBuilt on MCP YouTube Transcript server (Android emulation for cloud reliability). Turn any YouTube video into structured, searchable knowledge in 20 seconds.
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