notebook-cell-python

Convert Python scripts into Jupyter notebooks and Markdown documentation.

Updated Feb 16, 2026

Search Tags:#workflow #documentation #markdown #python #llm #jupyter #notebook

Ready to run

npx skills add https://github.com/jluo41/research-skills --skill notebook-cell-python

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: notebook-cell-python
Source: https://github.com/jluo41/research-skills/tree/main/skills/notebook-cell-python
Command: npx skills add https://github.com/jluo41/research-skills --skill notebook-cell-python

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of converting Python scripts into interactive Jupyter notebooks and then into comprehensive Markdown documentation, including automated ASCII workflow diagrams.

Core Features & Use Cases

Pipeline Management: Manages a four-stage process from Python scripts to notebooks, full Markdown, and finally documentation Markdown with workflow visualizations.
Code Documentation: Generates ASCII workflow diagrams and function relationship trees using LLMs for quick code understanding.
Use Case: You have a complex Python script for data analysis. Use this Skill to convert it into a Jupyter notebook for interactive exploration, then generate a Markdown file with all outputs, and finally create an ASCII flowchart that visualizes the script's structure and function calls.

Quick Start

Convert the Python script 'evaluation/scripts/1-topic.py' into a Jupyter notebook and then into Markdown documentation.

Frequently Asked Questions about notebook-cell-python

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

FAQPage Schema

How do I convert a Python script into a Jupyter notebook with Markdown documentation?▼

You can convert Python scripts into Jupyter notebooks and Markdown documentation using a four-stage pipeline that transforms scripts into interactive notebooks, generates full Markdown with outputs, and creates LLM-driven ASCII workflow diagrams.

What is the best way to generate ASCII workflow diagrams from Python code?▼

Generating ASCII workflow diagrams from Python code is done by using LLM capabilities to visualize script structure and function relationships, producing ASCII flowcharts that map out function calls for quick code understanding.

How does script-to-notebook conversion work for data analysis workflows?▼

Script-to-notebook conversion works by processing a Python script through a pipeline that outputs an interactive Jupyter notebook, allowing you to explore data analysis code dynamically before exporting it into a comprehensive Markdown document.

Do I need LLM capabilities to generate code structure visualizations for Markdown?▼

Yes, you need LLM capabilities to generate code structure visualizations and ASCII workflow documentation, as the pipeline relies on LLMs to analyze the Python script and map out function relationship trees for the Markdown output.

Can I automate the pipeline from Python scripts to Markdown docs with outputs?▼

Yes, you can automate the conversion pipeline from Python scripts to Markdown docs, which sequentially processes scripts into Jupyter notebooks, executes cells to capture outputs, and exports everything into a full Markdown document.

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

Limitations include requiring a local environment with Python, Jupyter, and LLM capabilities installed, meaning the full four-stage conversion pipeline to Markdown and ASCII documentation will not function without these dependencies.