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