jupyter-to-marimo

Convert Jupyter notebooks into marimo-ready Python scripts.

5|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/panicPaul/splatkit --skill jupyter-to-marimo-panicpaul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jupyter-to-marimo
Source: https://github.com/panicPaul/splatkit/tree/main/.agents/skills/jupyter-to-marimo
Command: npx skills add https://github.com/panicPaul/splatkit --skill jupyter-to-marimo-panicpaul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Converts Jupyter notebooks (.ipynb) into marimo-ready Python scripts (.py) to streamline reproducible experiments and workflow execution.

Core Features & Use Cases

  • Automatically convert notebooks to marimo Python format with minimal friction.
  • Validate and clean up the converted script using marimo tooling to ensure proper cell structure and metadata.
  • Use in research pipelines to reproduce experiments and share portable artifacts.

Quick Start

Convert a Jupyter notebook to a marimo-ready Python file using uvx marimo convert <notebook.ipynb> -o <notebook.py>.

Frequently Asked Questions about jupyter-to-marimo

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

FAQPage Schema
How do I convert a Jupyter notebook to a marimo Python script?

You can convert Jupyter notebooks to marimo Python scripts by parsing the .ipynb file and validating the output with marimo tooling. This produces a clean .py file with proper cell structure and metadata for reproducible experiments.

What is the best way to make Jupyter notebooks reproducible for data analysis?

Converting Jupyter notebooks into marimo-ready Python scripts is an effective way to make data analysis reproducible. This translation produces portable Python artifacts that streamline workflow execution and ensure experiments can be reliably shared and rerun.

Does converting notebooks with marimo clean up cell structure and metadata?

Yes, converting notebooks with marimo validates and cleans up the resulting Python script. The tooling ensures the generated .py file maintains proper cell structure and accurate metadata required for marimo-ready reproducible pipelines.

Can I use this notebook conversion for research pipelines and reproducible experiments?

Yes, you can use this notebook conversion for research pipelines and reproducible experiments. It transforms Jupyter notebooks into portable Python scripts, allowing researchers to reproduce experiments and share portable artifacts across data analytics workflows.

What are the limitations of converting Jupyter notebooks to Python scripts?

The conversion requires validating the output with marimo tooling to ensure proper cell structure. Limitations may arise if the original Jupyter notebook contains complex non-standard cell types or dependencies that cannot be directly translated into a reproducible Python script format.