How does it improve code quality?

It identifies 'code smells' like mutable defaults and bare excepts, while also detecting over-engineering patterns like unnecessary factories or deep inheritance.

Can it detect duplicated code?

Yes, the skill includes scripts for structural duplicate detection using AST (Abstract Syntax Tree) normalization to find logically similar code blocks.

Does it change the behavior of my Python code?

No, the primary goal is simplification and readability. It focuses on functional equivalence while improving the underlying code structure and reducing technical debt.

What patterns does it recommend for cleaner code?

It promotes idiomatic Python patterns like early returns (guard clauses), list comprehensions, context managers, and the use of the 'defaultdict' for cleaner logic.

What is the Python Code Simplifier skill?

It is a specialized Claude Code skill that provides tools and guidance to analyze, refactor, and simplify complex Python codebases to improve readability.

Python Code Simplifier

Name: Python Code Simplifier
Author: charlesmsiegel

bycharlesmsiegel

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开发者工具

Transforms complex Python code into clean, readable, and idiomatic solutions through automated analysis and refactoring.

关于

Python Code Simplifier is a comprehensive toolset for Claude Code designed to combat technical debt and complexity in Python projects. It utilizes a suite of specialized analysis scripts to identify high cyclomatic complexity, code smells, dead code, and over-engineered abstractions that hinder maintainability. By guiding developers through idiomatic refactoring patterns—such as replacing deep nesting with guard clauses, utilizing list comprehensions, and optimizing dictionary usage—this skill ensures that codebases remain efficient and easy to understand without changing their core functionality.

主要功能

1 GitHub stars
Automated complexity and code smell detection
Incremental refactoring with idiomatic Python patterns
YAGNI violation and over-engineering analysis
Structural duplicate detection via AST normalization
Dead code and unused abstraction identification

使用场景

Streamlining complex logic during automated code reviews
Identifying and removing unused or redundant code abstractions
Refactoring legacy systems to improve maintainability

关于

主要功能

1 GitHub stars
Automated complexity and code smell detection
Incremental refactoring with idiomatic Python patterns
YAGNI violation and over-engineering analysis
Structural duplicate detection via AST normalization
Dead code and unused abstraction identification

使用场景

Streamlining complex logic during automated code reviews
Identifying and removing unused or redundant code abstractions
Refactoring legacy systems to improve maintainability