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>
145 lines
3.3 KiB
Markdown
145 lines
3.3 KiB
Markdown
---
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name: notebooklm-research
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description: |
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Research and source discovery for NotebookLM. Web/Drive research, auto-import, and source text extraction.
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Triggers: research topic, find sources, web research, 리서치, 자료 조사, NotebookLM 연구.
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---
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# NotebookLM Research
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Research workflows for NotebookLM: web research, Drive search, auto-import, and source content extraction.
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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
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```
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## When This Skill Activates
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- "Research [topic] in NotebookLM"
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- "Find sources about X"
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- "Do web research on Y"
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- "Search my Drive for documents"
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- Korean: "리서치 해줘", "자료 찾아줘", "웹 검색"
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## Research Modes
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| Mode | Sources Found | Time | Use Case |
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|------|---------------|------|----------|
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| `fast` | 5-10 | seconds | Quick overview |
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| `deep` | 20+ | 2-5 min | Comprehensive research |
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## Quick Reference
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### Web Research
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```bash
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# Fast research (default)
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notebooklm source add-research "artificial intelligence trends"
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# Deep research with auto-import
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notebooklm source add-research "climate change policy" --mode deep --import-all
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# Deep research (non-blocking, wait separately)
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notebooklm source add-research "topic" --mode deep --no-wait
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notebooklm research wait --import-all
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```
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### Drive Research
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```bash
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# Search Google Drive
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notebooklm source add-research "quarterly report" --from drive
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# Deep Drive search
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notebooklm source add-research "project docs" --from drive --mode deep
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```
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### Research Status
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```bash
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# Check ongoing research
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notebooklm research status
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# Wait for completion
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notebooklm research wait
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notebooklm research wait --import-all # Auto-import found sources
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```
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## Source Content Extraction
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```bash
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# Get indexed fulltext
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notebooklm source fulltext <source_id>
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notebooklm source fulltext <source_id> --json
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# Get AI-generated guide
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notebooklm source guide <source_id>
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```
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## Workflow: Research to Analysis
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```bash
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# 1. Create notebook
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notebooklm create "AI Research Project"
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# 2. Run deep research
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notebooklm source add-research "large language models 2024" --mode deep --no-wait
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# 3. Wait and import (can spawn subagent for this)
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notebooklm research wait --import-all
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# 4. Verify sources
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notebooklm source list
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# 5. Start analysis
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notebooklm ask "What are the key trends?"
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```
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## Subagent Pattern for Deep Research
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For non-blocking deep research:
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```python
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# Main conversation
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notebooklm source add-research "topic" --mode deep --no-wait
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# Spawn subagent to wait
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Task(
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prompt="Wait for research in notebook {id} and import sources.
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Use: notebooklm research wait -n {id} --import-all --timeout 300
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Report how many sources were imported.",
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subagent_type="general-purpose"
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)
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```
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## Autonomy Rules
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**Auto-run:**
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- `notebooklm research status`
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- `notebooklm source list`
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- `notebooklm source fulltext`
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- `notebooklm source guide`
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**Ask first:**
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- `notebooklm source add-research` (modifies notebook)
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- `notebooklm research wait --import-all` (long-running)
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## Tips
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1. **Use deep mode** for comprehensive research
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2. **Use --no-wait** for non-blocking operations
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3. **Spawn subagent** for long waits
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4. **Check research status** before importing
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## Error Handling
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| Error | Solution |
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|-------|----------|
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| No results | Try different keywords |
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| Timeout | Extend timeout or check status |
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| Rate limit | Wait and retry |
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