Notebooklm research
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Repeatable pattern for conducting NotebookLM research via Gemini handoff. Use when research needs to go through a NotebookLM corridor.
SKILL.md
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NotebookLM Research Pattern
When to use
- Austin assigns a research corridor that involves a NotebookLM notebook
- Any research question that should be grounded in notebook sources
- Cross-referencing findings against curated notebook content
The Pattern
Step 1: Identify the corridor
ASK Austin which notebook. Never assume. Record the notebook URL.
Step 2: Write the prompts
For each research question:
- Write the context isolation preface: "You are NOT talking about the same project. Focus ONLY on third-party sources. Do NOT rely on user-uploaded material."
- Write the question — specific, one topic per question
- Specify number of turns (default: 3 per topic)
- Group related questions to use same session
Step 3: Create handoff file
Write prompts to research/gemini_handoff_{date}.md with:
- Context section (what Gemini needs to know)
- Numbered questions per notebook
- Output location (where to save responses)
Step 4: Track in notebooklm_brain.md
Update memory/notebooklm_brain.md with:
- Which notebook was queried
- What questions were asked
- Status (pending/complete)
- Date
Step 5: Audit returns
When Gemini saves results to research/:
- Read the research file
- Verify claims have citations
- Flag anything without a third-party source
- Consolidate key findings to relevant project brain's memory
- Update notebooklm_brain.md status
Rules
- NotebookLM MCP = orchestrator only (rule 10). No subagents.
- Gemini handles queries for now (native Google auth)
- Max 1-2 questions per query turn (more = compressed answers)
- Same session_id for follow-ups (builds context)
- Source hierarchy: arXiv → top-tier academic → open source GitHub