notebooklm_skill

Overview

This skill generates NotebookLM-compatible YAML and slide YAML to produce structured documents and presentations. It focuses on transforming user intents and source materials into well-formed NotebookLM artifacts. Use it when working on document drafting, presentation outlines, or YAML-driven NotebookLM workflows, but not for coding, implementation, or deployment tasks.

How this skill works

The skill classifies the user request to decide whether to produce NotebookLM YAML or slide YAML, then reads the appropriate reference templates and generation rules. For large PDFs it supports selective page-range reading to extract headings, summaries, and target sections. It outputs concise, NotebookLM-ready YAML or slide definitions aligned with the requested structure and reading strategy.

When to use it

• When you need NotebookLM YAML to feed a NotebookLM document or knowledge base.
• When creating slide YAML for automated slide generation or presentation outlines.
• When summarizing large PDFs into structured YAML using page-range reads.
• When you want stepwise extraction: table of contents → chapter intros → key sections.
• Do NOT use for implementation work, code fixes, reviews, or deployments.

Best practices

• Start with a clear request that indicates NotebookLM YAML or slides and desired output granularity.
• Use page-range reading for large PDFs: begin with the table of contents, then target chapter starts and key sections.
• Limit reads to relevant pages to save tokens and speed processing.
• Provide contextual goals (audience, slide length, level of detail) to shape YAML structure.
• Validate generated YAML in a test NotebookLM environment before wide use.

Example use cases

• Generate NotebookLM YAML for a 300-page technical spec by reading the TOC and key API sections only.
• Produce slide YAML for a 10-slide presentation from a product brief and target audience notes.
• Extract chapter summaries from a long manual by specifying page ranges per chapter.
• Create a concise NotebookLM knowledge card set from an academic paper (abstract + conclusions + select sections).