Automate Google NotebookLM workflows to create notebooks, ingest sources, and generate downloadable artifacts.
npx skills add https://github.com/c-kraus/thws-skills --skill notebooklm-c-kraus
Please help me install this Agent Skill. Skill: notebooklm Source: https://github.com/c-kraus/thws-skills/tree/main/notebooklm Command: npx skills add https://github.com/c-kraus/thws-skills --skill notebooklm-c-kraus
It removes the manual overhead of researching, organizing, and converting documents into podcasts, videos, reports, and other shareable artifacts by automating Google NotebookLM through its CLI/programmatic interface.
Install the skill and authenticated CLI, then ask it to create a podcast from your research topic by running: notebooklm create "Research: Quantum Computing" followed by adding sources and generating an audio artifact with instructions like "Create a beginner-friendly podcast about quantum computing."
High-intent search queries and answers about installing and using this skill.
Automating research-to-podcast generation requires ingesting sources like PDFs, URLs, and YouTube videos into a notebook, then programmatically prompting the system to create an audio artifact. This workflow handles long-running operations and downloads the finished podcast automatically.
Turning research papers into quizzes and flashcards involves ingesting the documents into an indexed notebook and triggering artifact generation. This process extracts key concepts from the content to produce formatted study outputs and structured data tables automatically.
Generating slide decks and mind maps from PDFs and YouTube videos is supported by ingesting these formats as sources. Once indexed, the system can extract structural relationships and produce formatted presentation artifacts for downstream use.
Authenticated CLI access is required to automate document ingestion and artifact creation. You must complete a login step to establish a programmatic connection, enabling non-blocking operations for creating notebooks and generating downloadable outputs.
Handling long-running workflows for large artifacts requires using non-blocking operations and structured commands. The system provides wait and download coordination to check completion states and retrieve the finished files without timing out.
Supported source formats for document analysis and report generation include PDFs, URLs, images, and audio/video files. Once these sources are ingested into a notebook, you can chat over the indexed content to generate structured reports and data outputs.
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