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code-refactoring

Refactor Python codebases incrementally with tests to preserve behavior.

Updated Jan 18, 2026
Search Tags:#testing#TDD#python#refactor#clean-code#code-smells#incremental-refactor
One-click install
npx skills add https://github.com/rom-orlovich/agents-system --skill code-refactoring-rom-orlovich
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-refactoring
Source: https://github.com/rom-orlovich/agents-system/tree/main/agent-bot/agent-engine/.claude/skills/code-refactoring
Command: npx skills add https://github.com/rom-orlovich/agents-system --skill code-refactoring-rom-orlovich

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code refactoring is a disciplined process to improve code structure and maintainability without changing observable behavior. It helps eliminate duplication, reduce complexity, and replace placeholders with robust, testable implementations.

Core Features & Use Cases

  • Safe refactoring workflow: detect code smells, write or update tests, apply incremental changes, and verify behavior remains unchanged.
  • Refactoring patterns: extract method, extract class, eliminate duplication, and simplify complex conditionals.
  • Use cases: clean up legacy Python modules with long functions and nested logic to improve readability and future maintainability.

Quick Start

Provide the path to the target module and any constraints. The skill will identify smells, propose a plan for safe changes, and apply them incrementally with tests. Example: "Refactor src/utils.py to extract long methods and reduce duplication" to illustrate.

Frequently Asked Questions about code-refactoring

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

FAQPage Schema
How do I refactor Python code safely without changing its behavior?▼

Refactor Python code safely by first writing or updating tests to validate behavior, then applying incremental changes like extract method or extract class, and finally verifying the behavior remains unchanged.

What is the best way to reduce complexity and duplication in legacy Python modules?▼

Reduce complexity and duplication in legacy Python modules by identifying code smells, proposing a safe change plan, and applying incremental refactoring patterns to improve readability and maintainability.

Do I need existing tests to start refactoring long functions?▼

Yes, you need tests to validate behavior before refactoring long functions. If tests are missing, the workflow includes a test creation phase to ensure changes do not alter observable behavior.

How does test-driven refactoring handle placeholder code in a codebase?▼

Test-driven refactoring handles placeholder code by creating tests to define expected behavior, then replacing placeholders with robust, testable implementations through incremental verification steps.

Can I use this incremental refactoring approach for Python projects with high complexity?▼

Yes, this incremental refactoring approach is designed for Python projects with high complexity, long functions, and nested logic, applying changes step-by-step to maintain behavior integrity.

What refactoring patterns are applied to clean code during the process?▼

Refactoring patterns applied include extract method, extract class, eliminate duplication, and simplify complex conditionals, all executed incrementally to ensure the codebase remains functional.

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