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toolsai/notebooklm-studio-skill

Analysis updated 2026-05-18

31PythonAudience · researcherComplexity · 2/5LicenseSetup · easy

TLDR

A Skill that lets AI coding agents like Codex or Claude Code automate NotebookLM research tasks.

Mindmap

mindmap
  root((NotebookLM Studio Skill))
    What it does
      Automates NotebookLM
      Bulk add sources
      Generate research outputs
    Tech stack
      Python
      NotebookLM
      Codex Claude Code
    Use cases
      Executive briefing packages
      Study guides and quizzes
      Research synthesis reports
    Audience
      Researchers
      Knowledge workers

Code map

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What do people build with it?

USE CASE 1

Ask an AI agent to build a NotebookLM notebook and generate summaries or study guides from a set of sources.

USE CASE 2

Turn research documents into a slide deck, report, or audio overview with one prompt.

USE CASE 3

Run pre-built workflows like an executive briefing package or a learning study pack.

USE CASE 4

Manage NotebookLM notebooks and track generated outputs through a local dashboard.

What is it built with?

PythonNotebookLM

How does it compare?

toolsai/notebooklm-studio-skillhuta0kj/skill-scanner-agentkkdai/linebot-multimodal-rag
Stars313131
LanguagePythonPythonPython
Setup difficultyeasymoderatehard
Complexity2/53/54/5
Audienceresearcherdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Requires Google login to NotebookLM and an agent that supports Skills, such as Codex or Claude Code.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

NotebookLM Studio Skill is a plugin for AI coding agents, particularly Codex and Claude Code, that connects them to NotebookLM, Google's research tool. On its own, NotebookLM lets you feed it documents, web pages, PDFs, audio, and video, and it generates useful outputs like summaries, study guides, mind maps, slide decks, quizzes, and audio overviews. The problem is that doing this manually is slow: you add sources one by one, click to generate each artifact, and then copy results somewhere useful. This Skill adds an automation layer. Instead of doing that manually, you describe what you want in plain language to your AI agent, and it handles creating or reusing notebooks, adding sources in bulk, triggering the generation of outputs, downloading them to a local folder, and creating handoff files so the agent can read and analyze the results directly. There are also pre-built one-click workflows for common research goals, like building an executive briefing package or a learning study pack, and a local web dashboard where you can manage notebooks and track what has been generated. You would use this if you regularly do research-heavy work and want an AI agent to run the full pipeline from raw sources to finished deliverable.

Copy-paste prompts

Prompt 1
Use notebooklm studio to create a new notebook, add these sources, and generate a report and mind map.
Prompt 2
Turn these sources into a study pack with a quiz, flashcards, and mind map using notebooklm studio.
Prompt 3
Generate a slide deck from this NotebookLM notebook and give me a presentation outline.
Prompt 4
Launch the NotebookLM Studio dashboard so I can manage my notebooks locally.

Frequently asked questions

What is notebooklm-studio-skill?

A Skill that lets AI coding agents like Codex or Claude Code automate NotebookLM research tasks.

What language is notebooklm-studio-skill written in?

Mainly Python. The stack also includes Python, NotebookLM.

What license does notebooklm-studio-skill use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is notebooklm-studio-skill to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is notebooklm-studio-skill for?

Mainly researcher.

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