Overview
- Skill Key
- guccidgi/notebooklm-skill
- Author
- guccidgi
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/guccidgi/notebooklm-skill
- Latest Commit SHA
- 2be7e1615889f128c87c6938ca2c4f262f861a9a
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 notebooklm 技能。 若已安装,则直接安装 notebooklm 技能。
# 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...
<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** [](https://www.python.org/) [](https://www.anthropic.com/news/skills) [](https://github.com/PleasePrompto/notebooklm-mcp) [](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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