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Notebooklm

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sanjay3290
notebooklm

Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.

Overview

Publishersanjay3290
Repositoryai-skills
Skill namenotebooklm
Stars
442
Forks
50
Bundled files
11
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 11 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sanjay3290 on GitHub. Read the source before you install it.

Installation

Install the Notebooklm AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sanjay3290/ai-skills/tree/main/skills/notebooklm
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sanjay3290/ai-skills.git /tmp/ai-skills
mkdir -p .claude/skills
cp -r /tmp/ai-skills/skills/notebooklm .claude/skills/notebooklm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Notebooklm in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Notebooklm on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Notebooklm is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NotebookLM Skill

Query NotebookLM notebooks and manage notebooks/sources via Playwright browser automation.

All commands run from the skill directory. All scripts output JSON to stdout and exit 1 on error. Use --help on any script for full flag reference.

Workflow

  1. Authenticate: python scripts/auth_manager.py setup --profile <name>
  2. Register notebook: python scripts/notebook_manager.py add --url <url> --name <name> --description <desc> --topics <topics>
  3. Ask questions: python scripts/ask_question.py --question "..." --notebook-id <id>
  4. Manage sources: python scripts/remote_manager.py add-source|sync-sources ...

Key Behaviors

  • Runs headless by default; use --show-browser for debugging only.
  • Persistent Chrome profiles stored at ~/.config/claude/notebooklm-skill/ (override with NOTEBOOKLM_DATA_DIR).
  • Hash-based dedupe: file uploads skip unchanged sources automatically.
  • --dry-run available on all destructive/bulk operations (create, add-source, delete-source, sync-sources).
  • --retries N retries transient browser failures with screenshot/HTML artifact capture.
  • Batch mode (--questions "q1||q2||q3") and multi-notebook comparison (--compare-notebook-ids) supported.
  • Exports to JSON or Markdown via --export-format markdown --save-notes.
  • Answers include a follow-up reminder prompting Claude to ask clarifying questions before replying.

Quick Reference

bash
# Auth
python scripts/auth_manager.py setup --profile work
python scripts/auth_manager.py status --profile work

# Library
python scripts/notebook_manager.py add --url "..." --name "..." --description "..." --topics "..."
python scripts/notebook_manager.py list

# Ask
python scripts/ask_question.py --question "..." --notebook-id <id>
python scripts/ask_question.py --questions "q1||q2" --notebook-id <id>

# Sources
python scripts/remote_manager.py add-source --notebook-id <id> --dir ./docs --recursive
python scripts/remote_manager.py sync-sources --notebook-id <id> --dir ./docs --recursive --delete-missing --dry-run

For full command reference with all flags and examples, see references/commands.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Notebooklm AI skill do?

Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.

Why use Notebooklm on TypingMind?

Because you install it once and use it with any model. Notebooklm is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Notebooklm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sanjay3290/ai-skills/tree/main/skills/notebooklm. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Notebooklm?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Notebooklm?

As many as you like. As long as a model supports skills, you can use Notebooklm with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Notebooklm AI skill free?

Yes. It is published on GitHub by sanjay3290 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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