marimo-compact

Create compact reactive Marimo notebook cells with integrated UI elements.

6|1|Updated Nov 26, 2025
One-click install
npx skills add https://github.com/CodingKaiser/kaiser-skills --skill marimo-compact
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: marimo-compact
Source: https://github.com/CodingKaiser/kaiser-skills/tree/main/marimo
Command: npx skills add https://github.com/CodingKaiser/kaiser-skills --skill marimo-compact

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill makes it easy to build compact Marimo notebook patterns with reactive cells and UI elements, enabling interactive data exploration without boilerplate.

Core Features & Use Cases

  • Reactive cells: cells automatically re-execute when their inputs change.
  • UI elements: sliders, buttons, and simple controls for lightweight dashboards.
  • Data visualization patterns: quick templates to visualize data inside Marimo notebooks.
  • Use Case: Prototype a compact, UI-driven notebook to explore a dataset and observe live updates as inputs change.

Quick Start

Use the marimo-compact skill to load and run the provided notebook patterns in a Marimo session to see reactive UI in action.

Frequently Asked Questions about marimo-compact

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add interactive UI controls to a Marimo notebook?

Interactive UI controls in a Marimo notebook use built-in reactive primitives like sliders and buttons. These elements automatically trigger cell re-execution when inputs change, enabling lightweight dashboards without external tooling.

What are reactive notebook cells and how do they work in Marimo?

Reactive notebook cells in Marimo automatically re-execute when their underlying inputs change. This mechanism allows data scientists to observe live updates during interactive data exploration without manually rerunning each cell.

Can I visualize data inside Marimo notebooks without installing external dependencies?

Yes, you can visualize data inside Marimo notebooks without external dependencies by applying compact, reusable patterns. The Marimo environment provides built-in reactive primitives that support quick data visualization templates directly.

What is the best way to prototype a compact dashboard for data exploration in Marimo?

The best way to prototype a compact dashboard in Marimo is using reusable reactive patterns with integrated UI elements. This approach allows you to explore a dataset and observe live updates as inputs change without boilerplate code.

Do I need external libraries to build reactive data visualization patterns in Marimo?

You do not need external libraries or installations to build reactive data visualization patterns in Marimo. The environment requires only its built-in reactive primitives to create interactive, UI-driven data exploration templates.