Can I connect my marimo notebook to a SQL database?

Yes, the skill assists with marimo.sql implementation, allowing you to run reactive queries directly against databases like PostgreSQL or MySQL with proper parameterization.

What makes Marimo different from Jupyter notebooks?

Unlike Jupyter, Marimo notebooks are stored as pure Python files, are fully reactive (cells update automatically based on dependencies), and eliminate hidden state for better reproducibility.

How does it handle large datasets and performance?

The skill implements performance best practices such as @marimo.cache for expensive computations, lazy loading, and efficient pandas data types to handle large-scale data.

Can this skill help me fix circular dependency errors?

Yes, it includes specific logic to identify dependency cycles in your notebook and provides refactoring patterns to ensure a clean top-to-bottom data flow.

Does it support interactive data visualization libraries?

Absolutely. This skill provides code patterns for integrating Plotly, Altair, and Marimo’s native interactive UI elements for rich, responsive data visualizations.

Marimo Reactive Notebooks

Name: Marimo Reactive Notebooks
Author: nibzard

bynibzard

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データサイエンスとML

Builds, debugs, and optimizes reactive Python notebooks and interactive data dashboards using the marimo framework.

This skill streamlines the development of marimo notebooks, offering a robust, reactive alternative to traditional Jupyter environments. It enables users to create reproducible data science workflows, interactive web applications, and real-time dashboards by enforcing clean dependency tracking and eliminating hidden state. Whether you are converting existing .ipynb files or architecting complex SQL-integrated machine learning models, this skill provides the patterns, utility functions, and debugging logic necessary for high-performance, git-friendly Python notebooks.

主な機能

01Reactive cell dependency tracking and circular dependency resolution

02Automated Jupyter notebook to marimo conversion and refactoring logic

03Integrated SQL support for reactive database querying and visualization

04Interactive UI element implementation for sliders, dropdowns, and buttons

05Performance optimization using built-in caching and lazy loading patterns

061 GitHub stars

ユースケース

01Developing reproducible ML workflows with real-time hyperparameter tuning

02Building interactive data analysis dashboards and internal business web apps

03Migrating legacy Jupyter notebooks into version-controllable Python scripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nibzard/skills-kit marimo

For use in Claude.ai and ChatGPT

Download Skill