Marimo reactive notebook skills for data science workflows
This skill should be used when working with marimo reactive notebooks for data science and analytics. Triggers include: - Creating new marimo notebooks - Converting Jupyter notebooks to marimo - Editing existing marimo notebooks - Implementing reactive patterns and UI components - Building interactive data visualizations with marimo
This skill should be used when inspecting marimo notebook execution results. Triggers include: - Checking notebook output - Viewing execution results - Reading __marimo__ HTML snapshots - Debugging notebook errors - Verifying cell outputs
This skill should be used when starting a marimo development server with hot reload. Triggers include: - Starting marimo server - Running marimo notebooks locally - Launching marimo development environment - Setting up hot reload for notebooks