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Notebooklm Skill Antigravity

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Description

NotebookLM skill for Google Antigravity - forked from PleasePrompto/notebooklm-skill. Query your NotebookLM notebooks directly from Antigravity for source-grounded answers.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

NotebookLM Antigravity Skill

**A Google Antigravity adaptation of the NotebookLM skill — forked from PleasePrompto/notebooklm-skill**

Let Antigravity 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/) [![Antigravity Skill](https://img.shields.io/badge/Google%20Antigravity-Skill-4285F4.svg)](https://antigravity.google/docs/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 Antigravity 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)


⚠️ Important: Local Antigravity Only

**This skill works ONLY with local [Google Antigravity](https://antigravity.google) installations.**

This skill requires browser automation with network access. It must run locally on your machine with Antigravity installed.


The Problem

When you tell an AI agent 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, it invents plausible-sounding APIs
  • Manual copy-paste: Switching between NotebookL