marimo-notebooks

What problem does it solve?

This skill provides a complete workflow for authoring, editing, validating, and running marimo reactive notebooks, consolidating templates, references, and assets to streamline notebook development.

Core Features & Use Cases

• Reactive Python notebooks stored as pure .py files, with cells that auto-execute based on dependencies.
• CLI tooling and templates for creating, editing, running, converting Jupyter notebooks to marimo format, and exporting results.
• Centralized assets and references to accelerate notebook construction, UI components, caching, and state management.
• Use case: A data science team rapidly prototypes and shares reproducible data exploration notebooks across teammates.

Quick Start

Install marimo and create a new marimo notebook, then edit, run, or convert existing notebooks. Example commands: marimo new, marimo edit notebook.py, marimo run notebook.py, or marimo convert notebook.ipynb -o notebook.py