Create and edit Marimo reactive Python notebooks with @app.cell structures.
npx skills add https://github.com/matsen/bipartite --skill marimo-matsen
Please help me install this Agent Skill. Skill: marimo Source: https://github.com/matsen/bipartite/tree/main/skills/marimo Command: npx skills add https://github.com/matsen/bipartite --skill marimo-matsen
Marimo notebooks can be tricky to set up and maintain; this Skill streamlines creation and ensures notebooks are consistently structured with reactive cells and auto-triggers when UI changes.
Run a sample Marimo notebook to observe reactive cells updating automatically.
High-intent search queries and answers about installing and using this skill.
Reactive Python notebooks that auto-update when UI inputs change are created using Marimo by structuring files with import marimo, initializing app = marimo.App(), and decorating each cell with @app.cell. This setup ensures deterministic execution where outputs recompute automatically when interactive elements change.
A Marimo notebook file must start with import marimo and app = marimo.App(), with individual cells defined using the @app.cell decorator. This structure enables plain .py file storage while maintaining reactive dependencies and a deterministic execution flow.
Marimo notebooks can be exported to HTML or IPYNB formats for sharing and publication. This allows you to distribute interactive reactive Python notebooks as standalone web pages or standard Jupyter notebook files.
Marimo is suited for prototyping interactive dashboards where widgets drive notebook outputs in real-time. Reactive cells automatically recompute when UI elements change, enabling live demonstrations and exploratory analytics directly within the Python notebook environment.
Marimo reactive notebooks do not require external dependencies to set up, but the notebook code itself must follow the Marimo API structure. You need to use import marimo, initialize the app, and apply the @app.cell decorator to establish the reactive execution flow.
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