refactor

Refactor Python modules to enforce type hints, docstrings, and configuration management.

Updated Nov 15, 2025

Search Tags:#code quality #best practices #documentation #refactoring #python #type hints #production ready

Ready to run

npx skills add https://github.com/MarioPasc/MenGrowth --skill refactor-mariopasc

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: refactor
Source: https://github.com/MarioPasc/MenGrowth/tree/main/.claude/skills/refactor
Command: npx skills add https://github.com/MarioPasc/MenGrowth --skill refactor-mariopasc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need to improve the quality, maintainability, and production-readiness of Python code modules by enforcing best practices.

Core Features & Use Cases

Code Refactoring: Applies a strict checklist to refactor Python code, ensuring adherence to modern software engineering standards.
Production Quality: Transforms code to be configuration-driven, well-documented, type-hinted, and robust.
Use Case: You have a Python script that works but lacks type hints, uses hardcoded values, and has poor documentation. Use this Skill to refactor it into a production-ready module.

Quick Start

Use the refactor skill to refactor the file '/path/to/your/module.py'.

Frequently Asked Questions about refactor

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

FAQPage Schema

How do I refactor Python code to add type hints and docstrings for production readiness?▼

To refactor Python code for production readiness, apply a strict checklist that enforces adding type hints, generating comprehensive docstrings, and designing atomic functions to ensure maintainability and robustness.

What is the best way to make a Python script configuration-driven instead of using hardcoded values?▼

The best way to make a Python script configuration-driven is by refactoring hardcoded values into external configuration management, transforming the script into a robust, production-ready module.

When do I need to refactor a Python module for production quality?▼

You need to refactor a Python module for production quality when the code lacks type hints, uses hardcoded values, has insufficient documentation, and requires strict adherence to modern software engineering standards.

Can I use automated refactoring to enforce strict coding standards on Python files?▼

Yes, you can use automated refactoring to enforce strict coding standards on Python files by applying a comprehensive checklist that targets type hints, configuration management, and atomic function design.

Does Python refactoring require atomic function design and configuration management?▼

Yes, Python refactoring requires atomic function design and configuration management to achieve production quality, ensuring the codebase is modular, well-documented, and free of hardcoded values.