Nlm Skill
Expert guide for NotebookLM CLI and MCP server automation
What You Can Do
You can interact with NotebookLM programmatically to automate research workflows, content generation, and knowledge management tasks. This skill guides you through creating and managing notebooks, adding diverse source types (URLs, YouTube videos, PDFs, Google Drive files, text), generating multiple content formats (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics), and conducting intelligent research through source-aware chat interactions.
Features
create, list, delete, and organize NotebookLM projects via CLI or MCP
add URLs, YouTube videos, PDFs, Google Drive files, and text snippets to notebooks
produce podcasts (Audio Overviews), reports, quizzes, flashcards, mind maps, slides, infographics, and videos
query and analyze your notebook sources with context-aware responses
streamline research workflows by automating source collection and content synthesis
chain commands to automate complex NotebookLM tasks programmatically
use either nlm CLI or MCP tools based on your environment and preferences
Example Output
Creating a research notebook and generating a podcast:
User: "Create a notebook about AI safety, add these three sources, and generate a podcast"
Skill output:
- Notebook created: "AI Safety Research" (ID: abc123)
- Sources added: 3 URLs processed
- Podcast generation initiated: Audio Overview ready for playback
Generating multiple content formats from a notebook:
User: "Generate a quiz, mind map, and infographic from my marketing research notebook"
Skill output:
- Quiz created: 10 questions with answer key
- Mind map generated: Visual hierarchy of key concepts
- Infographic created: Data visualization ready for export
What's Included
- SKILL.md: comprehensive guide for nlm CLI commands and MCP tool integration
- CLI Command Reference: complete syntax for notebook, source, and content generation operations
- MCP Tool Documentation: parameter guides and integration examples
- Workflow Automation Templates: ready-to-use command sequences for common research and content tasks
- Troubleshooting Guide: solutions for tool availability detection and authentication issues
Who It's For
- Research analysts automating literature reviews and source analysis
- Content creators generating multi-format educational materials and podcasts
- Knowledge workers building automated research and synthesis workflows
- Developers building NotebookLM integrations into larger applications
- Academic and corporate teams scaling knowledge management processes
Best For
- Automating notebook creation and source management workflows
- Batch generating content (podcasts, reports, quizzes) from source collections
- Building research pipelines that ingest and synthesize diverse information sources
- Integrating NotebookLM capabilities into CLI tools or applications
- Orchestrating complex multi-step content generation and knowledge extraction tasks
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