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yt-content-pipeline

YouTube content creation pipeline using NotebookLM.

5-role NotebookLM workflow for content creation. Turns a notebook of competitor/reference sources into topics, title+thumbnail options, a video script, and visual prompts.

When to run
"Generate YouTube content from my NotebookLM research"
Time saved
~10 hrs research + writing → ~30 min automated (20× faster)
How often
2–4 videos per month
Compounds
Topic database grows — avoids repetition, finds content gaps automatically

How it runs

  1. Generating ranked topics
  2. Creating title + thumbnail options
  3. Writing video script
  4. Generating visual prompts
  5. Assembling deliverable

Why it matters

  • 20× faster
  • Topics ranked by audience fit
  • Content gaps found automatically
Difficulty
advanced
Input
conversation
Output
video-script
Needs
install
Used by
Head of Marketing, Content Manager

What it needs

  • request — What to produce

What you get

  • yt-content-pipeline (markdown)

Ask it like this

  • Run the full YouTube content pipeline with these competitor URLs as sources
  • Find topic ideas for my channel using the existing NotebookLM notebook
  • Write a video script for the topic 'How I Grew 10K Subscribers in 90 Days'
  • Generate thumbnail title options for my chosen topic
  • Create AI image prompts for the visual scenes in my next video