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drmultivac/notebooklm-learner-pack

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23 stars 品質 52 トレンド 10MIT

NotebookLM Learner Pack — Claude skill for generating branded interactive learning packs with 29 copy-paste prompt cards

概要

A Claude skill that turns any topic and source corpus into a branded, copy-paste-ready prompt library for NotebookLM. One invocation produces 29 prompts across 5 asset types, each with 6 audience-lens variants, in a single self-contained HTML file. The Learner Pack — How I Turned NotebookLM Into a Lifelong Learning Engine (Techy Surgeon Substack) Each generated Learner Pack is a single self-contained HTML file with: - organized into 5 asset types - per prompt, toggled live in the browser - baked into every prompt (Techy Surgeon, Duke Health, RevelAi Modern Enterprise, or custom) - — prompts name the specific constructs from your source material, not generic placeholders Recall → Application → Diagnosis → Synthesis → Judgment 1. — vocabulary mastery 2. — "what would you do here" 3. — failure-mode pattern recognition 4. — multi-concept synthesis 5. — no-perfect-answer judgment 1. Download dist/notebooklm-learner-pack.skill from this repo 2. Open Claude Desktop or Cowork 3.

README

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NotebookLM Learner Pack

A Claude skill that turns any topic and source corpus into a branded, copy-paste-ready prompt library for NotebookLM. One invocation produces 29 prompts across 5 asset types, each with 6 audience-lens variants, in a single self-contained HTML file.

Companion article: The Learner Pack — How I Turned NotebookLM Into a Lifelong Learning Engine (Techy Surgeon Substack)


What You Get

Each generated Learner Pack is a single self-contained HTML file with:

  • 29 copy-paste prompts organized into 5 asset types
  • 6 audience-lens variants per prompt, toggled live in the browser
  • Brand voice baked into every prompt (Techy Surgeon, Duke Health, RevelAi Modern Enterprise, or custom)
  • Topic-grounded scaffolds — prompts name the specific constructs from your source material, not generic placeholders

Asset Types

Type Count Feeds
Infographics 10 Napkin, Ideogram, Midjourney
Slide Decks 5 PPTX skill, Gamma
Audio Overviews 5 NotebookLM native Audio Overview
Video Storyboards 4 Veo3, Runway
Knowledge Tests 5 NotebookLM Flashcards + Quiz

Audience Lenses

Lens For Vocabulary
ELI5 Curious fifth grader Everyday words, concrete analogies
Newbie Early-career professional new to the domain Defines terms on first use
Clinical Clinicians Care workflow, case selection, quality measures
Operator Service line leaders (default) Operations, staffing, metrics, 30/60/90-day actions
Finance VBC finance leaders Target price, reconciliation, margin, stop-loss
Deep Dive Senior peers Design rationale, edge cases, calibration questions

The Five Knowledge Tests (Bloom’s Taxonomy Spine)

Recall → Application → Diagnosis → Synthesis → Judgment

  1. Terminology Flashcards — vocabulary mastery
  2. Scenario Decision Flashcards — “what would you do here”
  3. Common-Mistake Quiz — failure-mode pattern recognition
  4. Integration Quiz — multi-concept synthesis
  5. Tradeoff Quiz — no-perfect-answer judgment

Installation

Option A — Direct install (Claude Desktop, Cowork)

  1. Download dist/notebooklm-learner-pack.skill from this repo
  2. Open Claude Desktop or Cowork
  3. Install the .skill file via your skills interface

Option B — Claude Code

  1. Clone this repo
  2. Move the notebooklm-learner-pack/ folder into your .claude/skills/ directory:
    git clone https://github.com/YOUR-HANDLE/notebooklm-learner-pack.git
    mv notebooklm-learner-pack/notebooklm-learner-pack ~/.claude/skills/
    
  3. Restart Claude Code

Option C — Manual

Copy SKILL.md and the references/ folder into a new notebooklm-learner-pack/ directory inside your Claude skills path.


Usage

GitHub で README 全文を見る

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インストール

npx skillfish add drmultivac/notebooklm-learner-pack
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