dakesan-marimo-cc

marimo-cc Marketplace

A Claude Code plugin marketplace for marimo reactive notebook tools and skills.

Overview

This marketplace provides curated plugins and skills for creating and editing marimo reactive notebooks with Claude Code. It helps you build efficient data science and analytics workflows using marimo's reactive programming model.

Note: Most of the prompts and instructions used in these plugins are transplanted from the original marimo prompts. This project inherits the Apache 2.0 License from marimo.

Available Plugins

marimo-editor

Create and edit marimo reactive notebooks with best practices.

Features:

• Create new marimo notebooks
• Convert Jupyter notebooks to marimo
• Implement reactive patterns and UI components
• Build interactive data visualizations
• Generate code following marimo best practices

Key capabilities:

• Understanding marimo's reactive programming model
• Proper use of UI elements
• Data handling best practices
• Integration with visualization libraries (matplotlib, plotly, altair)
• SQL (DuckDB) support

Installation

Add the marketplace to Claude Code

# Add the cc-marimo marketplace
/plugin marketplace add dakesan/marimo-cc

Install a specific plugin

# Install the marimo-editor plugin
/plugin install marimo-editor@cc-marimo

Install from local directory

# Clone the repository
git clone https://github.com/dakesan/marimo-cc.git

# Add as a local marketplace
/plugin marketplace add ./marimo-cc

# Install a plugin from local marketplace
/plugin install marimo-editor@cc-marimo

Usage

After adding the marketplace and installing a plugin, it will automatically activate when you make requests like:

• "Create a marimo notebook"
• "Convert this Jupyter notebook to marimo"
• "Build an interactive visualization with marimo"
• "Add a slider to make this parameter adjustable with marimo"

Examples

Basic Usage

User: "Create a marimo notebook to visualize the iris dataset"

Claude: I'll use the marimo-editor skill to create an interactive visualization notebook...

Reactive UI Example

# Cell 1: Import libraries
import marimo as mo
import matplotlib.pyplot as plt
import numpy as np

# Cell 2: Create UI element
n_points = mo.ui.slider(10, 100, value=50, label="Number of points")
n_points

# Cell 3: Reactive visualization
x = np.random.rand(n_points.value)
y = np.random.rand(n_points.value)
plt.scatter(x, y)
plt.gca()

Marketplace Structure

marimo-cc/
├── .claude-plugin/
│   └── marketplace.json           # Marketplace definition
├── plugins/
│   └── marimo-editor/
│       ├── .claude-plugin/
│       │   └── plugin.json        # Plugin manifest
│       └── skills/
│           └── marimo-editor/
│               └── SKILL.md       # Skill definition
├── LICENSE
└── README.md

Requirements

• marimo must be installed

pip install marimo
# or
uv pip install marimo

Contributing

Pull requests and issues are welcome! If you'd like to add more plugins to this marketplace:

1. Create a new directory under plugins/
2. Add your plugin with proper .claude-plugin/plugin.json
3. Update .claude-plugin/marketplace.json to include your plugin
4. Submit a pull request

License

Apache License 2.0

This project is derived from marimo and inherits its Apache 2.0 License. Most of the prompts and instructions are transplanted from the original marimo project.

See LICENSE for details.

Author

Hiroyuki Odake (@dakesan)

Links

• marimo Official Site
• marimo Documentation
• marimo GitHub
• Claude Code Documentation
• This Marketplace Repository

Acknowledgments

Special thanks to the marimo team for creating marimo and providing the original prompts and instructions that this marketplace is based on.