claude

marimo

Create, edit, and deploy reactive Python notebooks with marimo. Use when working with data analysis, interactive visualizations, web app development, or when you need reproducible computational notebooks.

2 on GitHubby Data Science Teamv1.0.1MITupdated todaydata-analytics
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Plugin marimo from marketplace skills in nibzard/skills. Commands read from the repo's manifest — today.

What it installs

Skills (1)

  • marimo

    Assistant for creating, editing, and debugging reactive Python notebooks with marimo. Use when you need to build marimo notebooks, debug reactive execution, add interactive UI elements, or convert traditional notebooks to marimo format. Provides code patterns, utility functions, and best practices f

View source on GitHub nibzard.com

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