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>
119 lines
2.9 KiB
Markdown
119 lines
2.9 KiB
Markdown
---
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name: notebooklm-agent
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description: |
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Q&A agent for NotebookLM notebooks. Ask questions and get grounded, citation-backed answers from your sources.
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Triggers: ask NotebookLM, query notebook, research question, 노트북 질문, NotebookLM 에이전트.
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---
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# NotebookLM Agent
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Q&A agent that answers questions using NotebookLM's Gemini-powered analysis. Returns grounded responses with source citations.
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## Prerequisites
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NotebookLM CLI must be installed and authenticated:
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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
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```
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## When This Skill Activates
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- User asks "ask NotebookLM about X"
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- User wants to "query my notebook"
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- User needs "research answers from sources"
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- Korean: "노트북LM에서 찾아줘", "노트북 질문"
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## Quick Reference
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| Task | Command |
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|------|---------|
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| List notebooks | `notebooklm list` |
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| Set active notebook | `notebooklm use <id>` |
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| Ask question | `notebooklm ask "question"` |
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| New conversation | `notebooklm ask "question" --new` |
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| With citations | `notebooklm ask "question" --json` |
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| Specific sources | `notebooklm ask "q" -s src1 -s src2` |
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## Workflow
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### 1. Select Notebook
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```bash
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# List available notebooks
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notebooklm list
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# Set context (use partial ID)
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notebooklm use abc123
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```
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### 2. Ask Questions
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```bash
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# Simple question
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notebooklm ask "What are the main findings?"
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# Follow-up (continues conversation)
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notebooklm ask "Can you elaborate on point 2?"
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# New conversation
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notebooklm ask "Different topic" --new
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# Query specific sources only
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notebooklm ask "Compare these two" -s source1_id -s source2_id
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```
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### 3. Get Structured Output
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For citations and references, use `--json`:
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```bash
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notebooklm ask "Summarize the methodology" --json
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```
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Returns:
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```json
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{
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"answer": "The methodology involves... [1] [2]",
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"references": [
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{"source_id": "abc...", "citation_number": 1, "cited_text": "..."},
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{"source_id": "def...", "citation_number": 2, "cited_text": "..."}
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]
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}
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```
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## Autonomy Rules
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**Run automatically:**
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- `notebooklm list` - view notebooks
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- `notebooklm status` - check context
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- `notebooklm source list` - view sources
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- `notebooklm ask "..."` - answer questions
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**Ask before running:**
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- `notebooklm delete` - destructive operations
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- `notebooklm source add` - modifies notebook
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## Tips
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1. **Set context first**: Always `use` a notebook before asking
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2. **Use --json for citations**: Get structured references for research
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3. **Continue conversations**: Omit `--new` for follow-up questions
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4. **Filter sources**: Use `-s` to query specific documents only
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## Error Handling
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| Error | Solution |
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|-------|----------|
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| "No notebook context" | Run `notebooklm use <id>` |
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| Auth error | Run `notebooklm login` |
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| Source not found | Check `notebooklm source list` |
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## Related Skills
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- **notebooklm-automation**: Full notebook management
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- **notebooklm-studio**: Generate podcasts, videos, quizzes
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- **notebooklm-research**: Add sources and research workflows
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