Does this skill change the functionality of my code?

No, the primary mission of the Python Simplifier is to preserve exact functionality while improving the internal structure, clarity, and maintainability of the implementation.

Does it support the latest Python features?

Yes, it promotes the use of modern Python 3.8+ features such as the walrus operator, f-strings, dataclasses, and Pydantic models where appropriate.

Can it handle specific frameworks like Django or FastAPI?

Yes, it includes specialized logic for FastAPI dependency injection, Django QuerySet methods, and Flask organization to ensure framework-specific best practices are followed.

Will it add unnecessary documentation or logging?

No, the skill follows a 'minimal change' philosophy, avoiding over-documentation and unnecessary logging unless they provide clear, specific value to the codebase.

How does it identify duplicate code?

It scans for repeated code blocks, similar logic across modules, and copy-pasted validation routines, suggesting extractions into shared helpers or decorators.

Python Code Simplifier

Name: Python Code Simplifier
Author: citadelgrad

bycitadelgrad

•

Developer Tools

Refines Python codebases by eliminating logic duplication, applying idiomatic patterns, and enforcing framework-specific best practices.

About

The Python Code Simplifier is an advanced AI skill designed to transform complex or redundant Python code into clean, maintainable, and idiomatic implementations. By prioritizing DRY (Don't Repeat Yourself) principles and KISS (Keep It Simple, Stupid) logic, it identifies shared patterns across modules to extract helpers, base classes, and decorators. Whether working with FastAPI, Django, or Flask, this skill ensures your code follows PEP 8 standards, utilizes modern language features, and maintains a thin, efficient architecture while strictly preserving existing functionality.

Key Features

Modernization of code using Pythonic patterns like list comprehensions, dataclasses, and walrus operators.
Enforcement of configuration best practices by replacing hardcoded values with constants or environment variables.
Framework-specific optimization for FastAPI dependencies, Django managers, and Flask blueprints.
Complexity reduction through function decomposition and structured resource management.
1 GitHub stars
Automated DRY refactoring to eliminate logic duplication across multiple modules.

Use Cases

Reviewing new pull requests to ensure they adhere to PEP 8 and Pythonic readability standards.
Decoupling business logic from framework route handlers to improve testability and maintainability.
Refactoring a growing codebase to extract common utility functions and shared base classes.

About

Key Features

Modernization of code using Pythonic patterns like list comprehensions, dataclasses, and walrus operators.
Enforcement of configuration best practices by replacing hardcoded values with constants or environment variables.
Framework-specific optimization for FastAPI dependencies, Django managers, and Flask blueprints.
Complexity reduction through function decomposition and structured resource management.
1 GitHub stars
Automated DRY refactoring to eliminate logic duplication across multiple modules.

Use Cases

Reviewing new pull requests to ensure they adhere to PEP 8 and Pythonic readability standards.
Decoupling business logic from framework route handlers to improve testability and maintainability.
Refactoring a growing codebase to extract common utility functions and shared base classes.