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>
60 lines
1.2 KiB
Markdown
60 lines
1.2 KiB
Markdown
# NotebookLM Research - Claude Code
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Research workflows: web research, Drive search, auto-import, source 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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## Research Commands
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```bash
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# Web research
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notebooklm source add-research "topic"
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notebooklm source add-research "topic" --mode deep --import-all
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notebooklm source add-research "topic" --mode deep --no-wait
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# Drive research
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notebooklm source add-research "topic" --from drive
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# Status and wait
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notebooklm research status
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notebooklm research wait --import-all
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```
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## Source Extraction
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```bash
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notebooklm source fulltext <id>
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notebooklm source guide <id>
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```
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## Research Modes
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| Mode | Sources | Time |
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|------|---------|------|
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| `fast` | 5-10 | seconds |
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| `deep` | 20+ | 2-5 min |
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## Subagent Pattern
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```python
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# Non-blocking deep research
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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 and import: notebooklm research wait -n {id} --import-all",
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subagent_type="general-purpose"
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)
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```
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## Autonomy
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**Auto-run:** `research status`, `source fulltext`, `source guide`
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**Ask first:** `source add-research`, `research wait --import-all`
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