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Notebooklm research

Skill 0SxD/agent-plugin-skills-v01/skills/notebooklm-research

Install
npx -y skills add 0SxD/agent-plugin-skills-v01 --skill 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

1.8 KB, 396 tokens by cl100k_base, as published. Nobody here has run it

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:

  1. 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."
  2. Write the question — specific, one topic per question
  3. Specify number of turns (default: 3 per topic)
  4. 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

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