Create, edit, and debug Marimo reactive Python notebooks stored as .py files.
npx skills add https://github.com/edwinhu/workflows --skill marimo-edwinhu
Please help me install this Agent Skill. Skill: marimo Source: https://github.com/edwinhu/workflows/tree/main/skills/marimo Command: npx skills add https://github.com/edwinhu/workflows --skill marimo-edwinhu
This Skill helps users create, debug, and manage Marimo reactive Python notebooks, which are stored as pure .py files and offer a powerful way to build interactive data applications.
marimo check and export with outputs to ensure notebooks function correctly.Use the marimo skill to create a new marimo notebook named 'my_analysis.py'.
High-intent search queries and answers about installing and using this skill.
A reactive Python notebook uses Marimo to automatically update cells based on dependencies, enabling dynamic UIs and data workflows. Notebooks are stored as pure .py files for interactive data exploration.
You can convert an existing Jupyter notebook to the Marimo format using the conversion features provided by the Marimo Skill, allowing your cells to become reactive and run as pure Python files.
You validate and debug a reactive notebook by running `marimo check` to ensure cells function correctly, and then export the notebook with outputs to verify the final interactive data application.
Yes, you can use Marimo to create interactive dashboards by building a notebook that loads data, applies filters based on user input widgets, and visualizes the results reactively.
Unlike standard Jupyter notebooks, reactive Python notebooks in Marimo automatically update dependent cells when variables change, are stored as pure .py files, and support building interactive data applications without hidden state issues.
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