Elevating AI-Powered Presentations

NotebookLM Slide Styles is a curated digital library designed to transform raw data into stunning visual narratives.

The Mission

We believe that artificial intelligence is a powerful ally for creativity, but it often needs a "design compass" to reach its full potential. NotebookLM Slide Styles serves as that bridge.

Our goal is to provide a curated set of instructions (YAML prompts) that allow anyone—from students to executives—to generate professional-grade slides without needing to be a designer.

DESIGN SYSTEM

Curated Catalog

Hand-picked themes ranging from corporate minimal to vibrant creative styles.

Visual Previews

Real examples of what NotebookLM generates with each prompt. No guesswork.

One-Click Copy

Copy YAML code instantly. Seamless integration with your workflow.

Community Driven

An open-source project designed to grow with user contributions.

Ready to transform your slides?

Explore our full collection of styles and start creating beautiful presentations today.

Explore the Styles →

Frequently Asked Questions

Everything you need to know about using NotebookLM Styles.

What is NotebookLM Slide Styles?

It's a curated collection of visual design themes specifically formatted as YAML prompts for NotebookLM. These styles help you transform standard AI-generated slides into professional, aesthetically pleasing presentations.

How do I use these styles?

Simply find a style you like, click the 'Copy' button on the YAML code, and paste it into the 'Custom Instructions' or 'Style' field when generating slides in NotebookLM.

Are these styles free to use?

Yes! This is an open-source project created for the community. You can use, modify, and share these styles freely for your personal or professional projects.

Can I contribute my own styles?

Absolutely. We love community contributions. You can submit your styles by opening a Pull Request on our GitHub repository with your YAML configuration and a preview image.

How do I report a bug or suggest a feature?

You can use the 'Report Issue' link in the footer or visit our GitHub Issues page. We actively monitor feedback to improve the collection.