Andrew Yim
e16a1dc3de
Add 4 specialized NotebookLM skills based on notebooklm-py library: - 50-notebooklm-agent: Q&A agent for notebook queries with citations - 51-notebooklm-automation: Full notebook/source/artifact management - 52-notebooklm-studio: Content generation (podcasts, videos, quizzes) - 53-notebooklm-research: Web/Drive research and source discovery Each skill includes: - README.md: Overview and quick start - code/CLAUDE.md: Claude Code version (concise) - desktop/SKILL.md: Claude Desktop version (with YAML frontmatter) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
NotebookLM Agent
Q&A agent that answers user questions based on NotebookLM notebooks. Leverages NotebookLM's Gemini-powered analysis to provide grounded, citation-backed responses from uploaded sources.
Use Cases
- Ask questions about documents in a specific notebook
- Get summaries with source citations
- Compare information across multiple sources
- Research assistant workflows
Prerequisites
pip install notebooklm-py
playwright install chromium
notebooklm login # One-time browser auth
Quick Start
# Set active notebook
notebooklm use <notebook_id>
# Ask questions
notebooklm ask "What are the key findings?"
notebooklm ask "Compare approaches from different sources"
# Get citations with JSON output
notebooklm ask "Summarize the methodology" --json
Versions
| Version | Path | Purpose |
|---|---|---|
| Claude Code | code/ |
CLAUDE.md for Claude Code integration |
| Claude Desktop | desktop/ |
SKILL.md for Claude Desktop skills |
Related Skills
- 51-notebooklm-automation - Full automation workflows
- 52-notebooklm-studio - Content generation (podcasts, videos)
- 53-notebooklm-research - Research and source discovery