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>
46 lines
1.3 KiB
Markdown
46 lines
1.3 KiB
Markdown
# NotebookLM Agent
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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.
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## Use Cases
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- Ask questions about documents in a specific notebook
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- Get summaries with source citations
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- Compare information across multiple sources
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- Research assistant workflows
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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 browser auth
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```
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## Quick Start
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```bash
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# Set active notebook
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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 "Compare approaches from different sources"
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# Get citations with JSON output
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notebooklm ask "Summarize the methodology" --json
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```
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## Versions
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| Version | Path | Purpose |
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| Claude Code | `code/` | CLAUDE.md for Claude Code integration |
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| Claude Desktop | `desktop/` | SKILL.md for Claude Desktop skills |
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## Related Skills
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- [51-notebooklm-automation](../51-notebooklm-automation/) - Full automation workflows
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- [52-notebooklm-studio](../52-notebooklm-studio/) - Content generation (podcasts, videos)
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- [53-notebooklm-research](../53-notebooklm-research/) - Research and source discovery
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