Rechercher

PythonReactSEOPDF
OpenClaw

notebooklm

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.

guccidgi0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install guccidgi/notebooklm-skill

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

NotebookLM Research Assistant Skill

Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.

When to Use This Skill

Trigger when user:

  • Mentions NotebookLM explicitly
  • Shares NotebookLM URL (https://notebooklm.google.com/notebook/...)
  • Asks to query their notebooks/documentation
  • Wants to add documentation to NotebookLM library
  • Uses phrases like "ask my NotebookLM", "check my docs", "query my notebook"

⚠️ CRITICAL: Add Command - Smart Discovery

When user wants to add a notebook without providing details:

SMART ADD (Recommended): Query the notebook first to discover its content:

# Step 1: Query the notebook about its content
python scripts/run.py ask_question.py --question "What is the content of this notebook? What topics are covered? Provide a complete overview briefly and concisely" --notebook-url "[URL]"

# Step 2: Use the discovered information to add it
python scripts/run.py notebook_manager.py add --url "[URL]" --name "[Based on content]" --description "[Based on content]" --topics "[Based on content]"

MANUAL ADD: If user provides all details:

  • --url - The NotebookLM URL
  • --name - A descriptive name
  • --description - What the notebook contains (REQUIRED!)
  • --topics - Comma-separated topics (REQUIRED!)

NEVER guess or use generic descriptions! If details missing, use Smart Add to discover them.

Critical: Always Use run.py Wrapper

NEVER call scripts directly. ALWAYS use python scripts/run.py [script]:

# ✅ CORRECT - Always use run.py:
python scripts/run.py auth_manager.py status
python scripts/run.py notebook_manager.py list
python scripts/run.py ask_question.py --question "..."

# ❌ WRONG - Never call directly:
python scripts/auth_manager.py status  # Fails without venv!

The run.py wrapper automatically:

  1. Creates .venv if...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/guccidgi/notebooklm-skill
Version
—
Commit
2be7e1615889f128c87c6938ca2c4f262f861a9a
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

NotebookLM Claude Code Skill

Let Claude Code chat directly with NotebookLM for source-grounded answers based exclusively on your uploaded documents

Python Claude Code Skill Based on GitHub

Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations - answers only from your uploaded documents.

Installation • Quick Start • Why NotebookLM • How It Works • MCP Alternative


⚠️ Important: Local Claude Code Only

This skill works ONLY with local Claude Code installations, NOT in the web UI.

The web UI runs skills in a sandbox without network access, which this skill requires for browser automation. You must use Claude Code locally on your machine.


The Problem

When you tell Claude Code to "search through my local documentation", here's what happens:

  • Massive token consumption: Searching through documentation means reading multiple files repeatedly
  • Inaccurate retrieval: Searches for keywords, misses context and connections between docs
  • Hallucinations: When it can't find something,...

Contenu extrait

SKILL.md
# NotebookLM Research Assistant Skill

Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.

## When to Use This Skill

Trigger when user:
- Mentions NotebookLM explicitly
- Shares NotebookLM URL (`https://notebooklm.google.com/notebook/...`)
- Asks to query their notebooks/documentation
- Wants to add documentation to NotebookLM library
- Uses phrases like "ask my NotebookLM", "check my docs", "query my notebook"

## ⚠️ CRITICAL: Add Command - Smart Discovery

When user wants to add a notebook without providing details:

**SMART ADD (Recommended)**: Query the notebook first to discover its content:
```bash
# Step 1: Query the notebook about its content
python scripts/run.py ask_question.py --question "What is the content of this notebook? What topics are covered? Provide a complete overview briefly and concisely" --notebook-url "[URL]"

# Step 2: Use the discovered information to add it
python scripts/run.py notebook_manager.py add --url "[URL]" --name "[Based on content]" --description "[Based on content]" --topics "[Based on content]"
```

**MANUAL ADD**: If user provides all details:
- `--url` - The NotebookLM URL
- `--name` - A descriptive name
- `--description` - What the notebook contains (REQUIRED!)
- `--topics` - Comma-separated topics (REQUIRED!)

NEVER guess or use generic descriptions! If details missing, use Smart Add to discover them.

## Critical: Always Use run.py Wrapper

**NEVER call scripts directly. ALWAYS use `python scripts/run.py [script]`:**

```bash
# ✅ CORRECT - Always use run.py:
python scripts/run.py auth_manager.py status
python scripts/run.py notebook_manager.py list
python scripts/run.py ask_question.py --question "..."

# ❌ WRONG - Never call directly:
python scripts/auth_manager.py status  # Fails without venv!
```

The `run.py` wrapper automatically:
1. Creates `.venv` if...
README
<div align="center">

# NotebookLM Claude Code Skill

**Let [Claude Code](https://github.com/anthropics/claude-code) chat directly with NotebookLM for source-grounded answers based exclusively on your uploaded documents**

[![Python](https://img.shields.io/badge/Python-3.8+-blue.svg)](https://www.python.org/)
[![Claude Code Skill](https://img.shields.io/badge/Claude%20Code-Skill-purple.svg)](https://www.anthropic.com/news/skills)
[![Based on](https://img.shields.io/badge/Based%20on-NotebookLM%20MCP-green.svg)](https://github.com/PleasePrompto/notebooklm-mcp)
[![GitHub](https://img.shields.io/github/stars/PleasePrompto/notebooklm-skill?style=social)](https://github.com/PleasePrompto/notebooklm-skill)

> Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations - answers only from your uploaded documents.

[Installation](#installation) • [Quick Start](#quick-start) • [Why NotebookLM](#why-notebooklm-not-local-rag) • [How It Works](#how-it-works) • [MCP Alternative](https://github.com/PleasePrompto/notebooklm-mcp)

</div>

---

## ⚠️ Important: Local Claude Code Only

**This skill works ONLY with local [Claude Code](https://github.com/anthropics/claude-code) installations, NOT in the web UI.**

The web UI runs skills in a sandbox without network access, which this skill requires for browser automation. You must use [Claude Code](https://github.com/anthropics/claude-code) locally on your machine.

---

## The Problem

When you tell [Claude Code](https://github.com/anthropics/claude-code) to "search through my local documentation", here's what happens:
- **Massive token consumption**: Searching through documentation means reading multiple files repeatedly
- **Inaccurate retrieval**: Searches for keywords, misses context and connections between docs
- **Hallucinations**: When it can't find something,...

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