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notebooklm

Load YouTube channels into NotebookLM and generate cited coaching protocols.

50|7|Updated Jun 1, 2026
Search Tags:#citations#youtube#obsidian#notebooklm#transcripts#protocols
One-click install
npx skills add https://github.com/artemnovitckii/notebooklm-coach --skill notebooklm-artemnovitckii
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm
Source: https://github.com/artemnovitckii/notebooklm-coach/tree/main
Command: npx skills add https://github.com/artemnovitckii/notebooklm-coach --skill notebooklm-artemnovitckii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires notebooklm, and includes scripts (resource) components.

What problem does it solve?

NotebookLM Coach removes the friction of turning long-form expert podcasts and video libraries into practical advice you can trust, cite, and actually follow.

Core Features & Use Cases

It bulk-loads YouTube channels into NotebookLM, asks source-grounded questions with exact transcript citations, and turns the answers into personalized protocols and experiments. It is useful for health coaching, product research, business learning, onboarding, and any workflow where you want expert knowledge distilled into actionable steps. It also supports Obsidian-based note workflows so sources, Q&A, and experiments can be stored, linked, and reviewed over time.

Quick Start

Ask the assistant to load an expert YouTube channel into NotebookLM, query it for cited advice on your goal, and turn the result into an Obsidian-ready protocol.

Frequently Asked Questions about notebooklm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn expert YouTube podcasts into cited coaching protocols?▼

To turn expert YouTube podcasts into cited coaching protocols, you bulk-load channels into NotebookLM, query for source-grounded advice with exact transcript citations, and export the answers as actionable steps.

Can I load an entire YouTube channel into NotebookLM to query its transcripts?▼

Yes, you can load an entire YouTube channel into NotebookLM using terminal-based scraping to ingest bulk video sources, enabling question answering with exact transcript citations.

Does this NotebookLM workflow support exporting Q&A results into Obsidian?▼

Yes, the NotebookLM workflow supports exporting Q&A results into Obsidian by generating vault files with Dataview-friendly note links to store, link, and review experiments over time.

What is the best way to generate source-grounded health and product research from video libraries?▼

The best way to generate source-grounded research from video libraries is ingesting expert podcasts into NotebookLM to resolve exact citations and distill actionable protocols for health or product use cases.

Do I need terminal-based scraping to ingest bulk video sources for NotebookLM?▼

Yes, terminal-based scraping is required to perform bulk source ingestion of YouTube channels into NotebookLM before querying the extracted transcripts for cited answers.

What are the limitations of using NotebookLM for business learning and onboarding protocols?▼

Limitations include relying strictly on terminal-based scraping for bulk ingestion and requiring manual configuration to generate Obsidian vault files for reviewing business learning and onboarding protocols.

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