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>
1.1 KiB
1.1 KiB
NotebookLM Agent - Claude Code
Q&A agent that answers questions using NotebookLM's Gemini-powered analysis with source citations.
Prerequisites
pip install notebooklm-py
playwright install chromium
notebooklm login # One-time auth
Commands
# List notebooks
notebooklm list
# Set context
notebooklm use <notebook_id>
# Ask questions
notebooklm ask "What are the key findings?"
notebooklm ask "Elaborate on point 2" # continues conversation
notebooklm ask "New topic" --new # new conversation
# With citations (JSON output)
notebooklm ask "Summarize" --json
# Query specific sources
notebooklm ask "Compare" -s source1 -s source2
Autonomy
Auto-run: list, status, source list, ask
Ask first: delete, source add
JSON Output Format
{
"answer": "Response with [1] [2] citations",
"references": [
{"source_id": "...", "citation_number": 1, "cited_text": "..."}
]
}
Error Recovery
| Error | Fix |
|---|---|
| No context | notebooklm use <id> |
| Auth error | notebooklm login |