refactor

Refactor legacy Python codebases into modular SOLID components.

2|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/DonTizi/CodeGeass --skill refactor-dontizi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refactor
Source: https://github.com/DonTizi/CodeGeass/tree/main/.claude/skills/refactor
Command: npx skills add https://github.com/DonTizi/CodeGeass --skill refactor-dontizi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps development teams transform monolithic codebases into maintainable, modular architectures that respect SOLID principles.

Core Features & Use Cases

  • Discovery & Analysis: Identify large files, code smells, and unclear responsibilities.
  • Modularization Plan: Propose a target structure (e.g., utils, models, interfaces, services) and mapping of responsibilities.
  • Guided Refactoring: Provide step-by-step techniques (Extract Function/Class, Move Function, etc.) and a phased execution plan.
  • Use Case: You inherited a sprawling Python project and need a clean separation of concerns to speed future changes.

Quick Start

Provide a high-level prompt to the AI: "Analyze the target Python codebase and generate a modular refactor plan following SOLID principles, including a directory layout, an extraction plan, and validation steps."

Frequently Asked Questions about refactor

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

FAQPage Schema
How do I refactor a monolithic Python codebase into modular components?

To refactor a monolithic Python codebase, analyze large files and code smells, then generate a phased modularization plan proposing a directory structure like utils, models, interfaces, and services to enforce SOLID principles and clean separation of concerns.

What are common code smells that indicate I need to modularize my Python project?

Common code smells signaling the need to modularize a Python project include large files, unclear responsibilities, and tangled dependencies. Identifying these issues allows you to map out a refactoring plan that enforces SOLID principles and creates a clean, maintainable architecture.

How do I plan a directory structure for a Python project following SOLID principles?

Plan a SOLID directory structure by mapping responsibilities into proposed folders like utils, models, interfaces, and services. This modularization separates concerns, guides the extraction of functions and classes, and provides validation criteria to ensure the refactored architecture maintains integrity.

Can I use this refactoring approach for legacy Python codebases with no existing tests?

Yes, you can refactor legacy Python codebases by following a phased execution plan with step-by-step techniques like Extract Function and Move Class. The process includes validation criteria to verify the refactored modular components maintain expected behavior even without comprehensive existing tests.

What is the best way to execute a large-scale codebase refactor without breaking existing functionality?

The best way to execute a large-scale refactor safely is through a phased execution plan using guided techniques like Extract Function and Move Class. This step-by-step approach enforces SOLID principles and provides validation criteria to verify functionality throughout the modularization process.