--- name: notebook-lm-research description: Performs deep document analysis and research synthesis using NotebookLM for long-context document grounding. Enables multi-source research aggregation, citation extraction, and knowledge synthesis for content creation workflows. --- # NotebookLM Research Skill Long-context document grounding and research synthesis capability powered by Google NotebookLM. ## When to Use Activate this skill when the task involves: - Deep document analysis (PDFs, articles, reports) - Multi-source research synthesis - Citation extraction and verification - Knowledge base building for content creation - Literature review and summarization ## Capabilities ### 1. Document Ingestion Upload and process documents for analysis: - **Formats**: PDF, Google Docs, web pages, text files - **Capacity**: Up to 50 sources per notebook - **Context**: 1M+ token window for comprehensive analysis ### 2. Research Synthesis Extract and synthesize information: - Key themes and patterns - Contradictions and gaps - Citation mapping - Expert quotes and statistics ### 3. Query-Based Analysis Answer specific research questions: - Fact verification - Comparative analysis - Timeline construction - Entity relationship mapping ## Execution Pattern ```text 1. INGEST → Add source documents to NotebookLM notebook 2. ANALYZE → Run initial summary and theme extraction 3. QUERY → Execute targeted research questions 4. SYNTHESIZE → Aggregate findings into structured output 5. CITE → Generate citation references for all claims ``` ## Output Format Research outputs should follow this structure: ```xml ``` ## Integration Points - **Content Orchestrator**: Primary consumer for content creation workflows - **Google Slides Storyboard**: Feeds research into presentation narratives - **GEO Marketing Agent**: Provides citation vectors for authority scoring ## Best Practices 1. **Source Quality**: Prioritize authoritative sources (academic, official, expert) 2. **Citation Precision**: Always include page numbers and direct quotes 3. **Bias Detection**: Flag potential biases in source materials 4. **Freshness**: Note publication dates for time-sensitive topics ## Error Handling | Error | Recovery | |-------|----------| | Document upload fails | Retry with smaller chunks or alternative format | | Context limit exceeded | Prioritize most relevant sources | | No relevant findings | Expand search scope or reformulate queries | ## Cost Considerations - **Fuel Cost**: 10-30 PTS per research session - **Optimization**: Cache frequently accessed research for reuse

notebook-lm-research

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