Who this is for: Researchers, students, and professionals who want to chat with their uploaded documents and get source-grounded answers exclusively from their research materials.
What This Skill Does
Enables Claude Code to chat directly with Google NotebookLM for source-grounded answers based exclusively on uploaded documents and research materials.
Core Capabilities
- Source-Grounded Q&A — Answers based exclusively on uploaded documents
- Document Chat — Interactive conversations with research materials
- Multi-Document Analysis — Synthesize information across multiple sources
- Citation Tracking — References to specific source passages
- Research Summarization — Extract key insights from document collections
- Custom Notebooks — Organize documents by project or topic
Usage
Chat with Documents
Chat with my NotebookLM notebook about the uploaded research papers
Summarize the key findings from my uploaded documents
Source-Grounded Q&A
What does my research say about machine learning trends?
Find all mentions of climate change in my uploaded sources
Multi-Document Synthesis
Compare the methodologies across my uploaded research papers
What are the common themes in my document collection?
Example Output
User: "What does my research say about AI safety?"
Output:
MARKDOWN
## Source-Grounded Answer
Based on your uploaded documents:
### Key Findings
1. **Document: "AI Safety Frameworks" (p. 12)**
"Alignment research focuses on ensuring AI systems act in accordance with human values..."
2. **Document: "Machine Learning Ethics" (p. 8)**
"Safety considerations should be integrated throughout the development lifecycle..."
3. **Document: "Neural Network Robustness" (p. 23)**
"Adversarial examples highlight the need for more robust training methods..."
### Summary
Your research emphasizes three main AI safety concerns:
- Value alignment
- Development lifecycle integration
- Robustness against adversarial inputs
Sources: 3 documents, 5 specific passages cited.
Features
| Feature | Description |
|---|---|
| Source-Grounded Answers — Responses based only on uploaded documents | |
| Citation Tracking — References to specific passages and pages | |
| Multi-Document Chat — Synthesize across entire document collection | |
| Custom Notebooks — Organize by project or research topic | |
| Research Summaries — Extract key insights automatically | |
| Q&A Mode — Ask specific questions about document content |
Common Use Cases
| Use Case | Description |
|---|---|
| Literature Review — Chat with research paper collections | |
| Legal Document Analysis — Query contracts, briefs, case law | |
| Academic Research — Synthesize findings across sources | |
| Meeting Notes — Chat with transcribed meetings | |
| Book Analysis — Extract insights from uploaded books | |
| Technical Documentation — Query API docs, manuals |
Related Use Cases
- Academic literature review and synthesis
- Legal document research and analysis
- Competitive intelligence gathering
- Meeting transcript analysis
- Book and article summarization
- Technical documentation Q&A
- Research paper comparison