notebooklm-research

NotebookLM Research Skill

Multi-notebook research synthesis: query across notebooks, compare findings, and produce unified analyses.

When This Skill Activates

Explicit triggers:

• "compare across notebooks"
• "research synthesis"
• "cross-reference my notebooks"
• "deep research on..."
• "multi-notebook analysis"

Intent detection:

• "What do my different notebooks say about X?"
• "Compare the findings in notebook A vs notebook B"
• "Synthesize everything I have on this topic"
• "Run a deep research workflow on..."
• "Create a comprehensive research report combining..."

Prerequisites

• Authenticated with NotebookLM (/notebooklm-enhanced:setup)
• At least one notebook with sources (for cross-notebook), or a topic (for new research)

CLI Prefix

All commands use:

uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm ...

Workflows

Cross-Notebook Research

When the user wants to compare or synthesize across existing notebooks:

1. List all notebooks:

   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm list --json
   

2. Identify relevant notebooks based on the user's topic. Look at titles and source counts.

3. Query each notebook individually:

   # Set context to each notebook and query
   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm use NOTEBOOK_ID_1
   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm ask "RESEARCH QUESTION" --json
   
   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm use NOTEBOOK_ID_2
   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm ask "RESEARCH QUESTION" --json
   

4. Synthesize findings: Combine answers from all notebooks, noting which notebook each finding came from. Identify:

   • Common themes across notebooks
   • Contradictions or different perspectives
   • Gaps in coverage
   • Unique insights from each notebook

5. Present the synthesis in a structured format with attribution to source notebooks.

Deep Research on a New Topic

When the user wants comprehensive research on a topic they haven't explored yet:

1. Create a dedicated research notebook:

   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm create "Research: TOPIC" --json
   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm use NOTEBOOK_ID
   

2. Add web research sources:

   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm source add-research "TOPIC" --mode deep --no-wait
   

3. Wait for research completion:

   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm research wait --import-all
   

4. Run synthesis queries:

   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm ask "Comprehensive overview of TOPIC" --json
   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm ask "What are the key debates and open questions?" --json
   

5. Generate a report artifact:

   uv run --project "${CLAUDE_PLUGIN_ROOT}/scripts" notebooklm generate report --format briefing-doc --json
   

6. Present findings to the user with key takeaways.

Delegate to Research Agent

For fully autonomous execution of complex research workflows, delegate to the research agent:

Use the Task tool to launch the research-agent with the user's research request. The agent handles the full pipeline (create, source, wait, query, generate, download) without user intervention.

Output Format

Present research results with:

• Executive Summary: 2-3 sentence overview
• Key Findings: Numbered list of main insights, attributed to source notebooks
• Cross-References: Where multiple notebooks agree or disagree
• Gaps: Areas needing further investigation
• Artifacts: Links to any generated reports, audio, or other outputs

Related Commands

• /notebooklm-enhanced:research — Single-step research workflow
• /notebooklm-enhanced:query — Query a single notebook
• /notebooklm-enhanced:library — Browse all notebooks
• /notebooklm-enhanced:generate — Generate artifacts from a notebook