notebooklm-learner-pack

Community

Turn topics into NotebookLM prompt packs.

AuthorDrMultivac
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The NotebookLM Learner Pack skill automatically converts topic and source context into a branded, copy-paste-ready prompt library, enabling rapid creation of explainer assets and knowledge checks.

Core Features & Use Cases

  • Grounded prompts: 29 prompts across 5 asset types (infographics, slide decks, audio, video storyboards, knowledge tests) built from topic and source material.
  • Brand voice immersion: supports Techy Surgeon, Duke Health, RevelAi Modern Enterprise, and custom brands to match your audience.
  • Dual-filter rendering: single HTML output with live audience-lens toggling and asset-type filtering for targeted prompts.
  • Reusable prompts: prompts are fully grounded and constructed to reference actual constructs, actors, and metrics from the provided corpus.

Quick Start

Provide the topic and brand (and optional source materials) to generate a self-contained HTML Learner Pack ready to paste into NotebookLM.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: notebooklm-learner-pack
Download link: https://github.com/DrMultivac/notebooklm-learner-pack/archive/main.zip#notebooklm-learner-pack

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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