marimo

Features and purpose

Create reactive Python notebooks for IMSA racing data analysis using marimo. Use for building interactive filtering UIs (seasons, classes, events), connecting to DuckDB databases, creating reactive visualizations, and performing data analysis with automatic cell re-execution. Includes templates, patterns, and IMSA-specific workflows.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.