Refactor

What it does

This skill enables AI agents to refactor complex Python/Django backend code, improving its readability, maintainability, and performance. It leverages a comprehensive guide based on Martin Fowler's catalog of refactoring best practices and Clean Code principles. The skill prioritizes refactoring rules by impact, guiding automated code improvements and generation.

When to use it

This skill is useful when:

• Refactoring existing code to improve maintainability.
• Decomposing long methods or large classes.
• Reducing coupling between components.
• Simplifying complex conditional logic.
• Reviewing code for code smells and anti-patterns.

Key capabilities

• Applies refactoring rules based on Martin Fowler's catalog.
• Prioritizes refactoring actions by impact (Critical, High, Medium-High, Medium, Low).
• Includes specific refactoring techniques such as:
  • Extracting methods and classes.
  • Applying Dependency Injection.
  • Using Intention-Revealing Names.
  • Replacing conditionals with polymorphism or guard clauses.
  • Implementing design patterns like Strategy and Template Method.

Example prompts

• "Refactor this code to apply the 'struct-extract-method' rule."
• "Improve the maintainability of this class by applying the Single Responsibility Principle."
• "Review this function for Feature Envy and suggest improvements."

Tips & gotchas

• This skill is specifically designed for Python/Django backend code.
• The effectiveness depends on the clarity and structure of the original code. Highly complex or poorly written code may require more manual intervention.
• Familiarity with refactoring principles (e.g., Single Responsibility Principle, Dependency Injection) can help users guide the skill's actions effectively.