youtube-processor

仓库: nicepkg/ai-workflow
安装量: 35
排名: #19692

安装

npx skills add https://github.com/nicepkg/ai-workflow --skill youtube-processor

Takes a YouTube URL, extracts the transcript, and you (Claude) summarize it. Outputs Obsidian-ready markdown. Zero friction: share a link, get actionable notes.

When to Use

  • "Summarize this video: [URL]"

  • "Turn this YouTube into notes"

  • "What's this video about?"

  • "Process this for my newsletter"

  • Any YouTube URL shared for processing

Location

This skill's tools live at:

/Users/eddale/Documents/GitHub/powerhouse-lab/skills/youtube-processor/tools/

How It Works

Step 1: Python extracts the transcript (no API key needed) Step 2: You (Claude) summarize using your intelligence + context Step 3: You write the Obsidian-formatted output

This approach means you can use mission-context, newsletter-coach, and other skills during summarization.

Instructions

Which Method to Use

| Claude Code | Local Python script (Step 1a)

| Claude.ai / Mac Client | API via WebFetch (Step 1b)

Step 1a: Extract Transcript (Claude Code)

Run the Python tool to get the transcript:

cd /Users/eddale/Documents/GitHub/powerhouse-lab/skills/youtube-processor/tools && \
python3 get_transcript.py --url "[URL]"

For JSON output (easier to parse):

python3 get_transcript.py --url "[URL]" --json

Step 1b: Extract Transcript (Claude.ai / Mac Client)

Use the API endpoint via WebFetch:

WebFetch: https://youtube-processor-eight.vercel.app/transcript?url=[VIDEO_URL]

The API returns JSON:

{
  "success": true,
  "video_id": "abc123",
  "language": "en",
  "transcript": "...",
  "char_count": 5000,
  "word_count": 850
}

Example prompt for WebFetch: "Extract the transcript text from the response"

Step 2: Summarize the Transcript

Once you have the transcript, summarize it based on what the user needs:

Quick Summary:

  • Headline (1 sentence)

  • Key points (3-5 bullets)

  • Main takeaway

Detailed Analysis:

  • Headline summary

  • Key points with context

  • Main takeaways

  • Action items mentioned

  • How this relates to Ed's work (if relevant)

Newsletter Mining:

  • Hook ideas for an article

  • Core insight/framework

  • Story beats for anecdotes

  • Takeaways for readers

  • Newsletter angle for The Little Blue Report

Step 3: Format for Obsidian

Create markdown with this structure:

---
source: YouTube
video_id: [ID]
url: [URL]
processed: [YYYY-MM-DD HH:MM]
tags: [youtube, video-notes]
mission_areas: [BlackBelt, Powerhouse, Newsletter, Prototyping, Daily workflow, Skill building]
action_verdict: [Act now | Bookmark | Ignore | Research]
---

# [Video Title or Topic]

**Link**: [URL]
**Processed**: [Date]

## Summary

[Your summary here]

## Mission Relevance

**Applies to:** [Tag which mission areas this content is relevant to]
- **BlackBelt** - Coaching program work
- **Powerhouse** - AI Amplified program / members
- **Newsletter** - The Little Blue Report
- **Prototyping** - Building leverage tools
- **Daily workflow** - Personal productivity
- **Skill building** - Improving the system itself

[Brief explanation of why it matters to each tagged area]

## Action Verdict

**Verdict:** [Act now | Bookmark | Ignore | Research]

[Specific recommendation and next step if applicable]

- **Act now** - Worth immediate attention. Next step: [specific action]
- **Bookmark** - Know it exists, use when relevant
- **Ignore** - Not applicable to Ed's mission
- **Research** - Needs more info before deciding

## Learning Triggers

[Any questions or opportunities this surfaces for Ed's system]

- **Questions raised:** [What this makes you wonder about]
- **Skill opportunities:** [Could this improve an existing skill?]
- **Newsletter angles:** [Story hook or insight for The Little Blue Report]
- **Follow-up research:** [Would a research-swarm help clarify something?]

---

## Full Transcript

[The transcript]

---

_Generated by youtube-processor skill_

Step 4: Save (Optional)

Save to Ed's Zettelkasten:

/Users/eddale/Documents/COPYobsidian/MAGI/Zettelkasten/

Filename format: YT - [Topic] - YYYY-MM-DD.md

Error Handling

| "Transcripts disabled" | Creator turned off captions | Video can't be processed

| "No transcript found" | No English captions available | Try a different video

| "Video unavailable" | Private, deleted, or age-restricted | Check the URL

Examples

Example 1: Quick Summary

User says:

Summarize this: https://www.youtube.com/watch?v=VIDEO_ID

You do:

  • Run: python3 get_transcript.py --url "https://www.youtube.com/watch?v=VIDEO_ID"

  • Read the transcript output

  • Provide a summary to the user

Example 2: Save to Obsidian

User says:

Turn this video into notes and save it: [URL]

You do:

  • Extract transcript with the Python tool

  • Summarize the content

  • Format as Obsidian markdown

  • Use Write tool to save to Zettelkasten

  • Confirm: "Saved to [filepath]"

Example 3: Newsletter Mining

User says:

I want to write about this video for the newsletter: [URL]

You do:

  • Extract transcript

  • Analyze for newsletter angles (hooks, insights, story beats)

  • Present the angles

  • Offer to hand off to newsletter-coach skill

Integration Points

  • newsletter-coach: After extracting video insights, hand off for article development

  • mission-context: Use Ed's voice and style when summarizing

  • task-clarity-scanner: Action items from videos can be added to daily notes

Dependencies

The Python tool requires:

youtube-transcript-api

Install if needed:

pip3 install youtube-transcript-api

Version History

| 1.1 | 2026-01-03 | Added Vercel API for Claude.ai/Mac client support

| 1.0 | 2026-01-02 | Initial build with transcript extraction

Notes & Learnings

  • youtube-transcript-api works without API keys

  • Most videos have auto-generated English captions

  • Claude doing the summarization is better than Python calling the API (can use context)

  • ~3-5 second transcript extraction for typical videos

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