Does it support modern Python features like Pydantic and AsyncIO?

Yes, the skill includes specific guidance on avoiding blocking calls in async code and using Pydantic for robust input validation and configuration management.

How does this skill help with code reviews?

It provides a standardized checklist and comparative code examples that Claude can use to systematically identify specific flaws in code and suggest immediate, idiomatic fixes.

Can I use this for refactoring legacy Python code?

Absolutely. The skill is designed to identify 'code smells' like scattered retry logic, bare exceptions, and hard-coded configurations common in older codebases.

What are Python anti-patterns?

Anti-patterns are common coding solutions that are ineffective or counterproductive in the long run, often leading to bugs, poor performance, or code that is difficult to maintain.

Python Anti-Patterns Checklist

Name: Python Anti-Patterns Checklist
Author: sla-te

bysla-te

0•

Seguridad y Pruebas

Identifies and corrects common Python coding mistakes, architectural flaws, and performance bottlenecks using a comprehensive best-practices checklist.

This skill provides a structured framework for auditing Python codebases to eliminate 'anti-patterns' that lead to technical debt, bugs, and maintainability issues. It covers critical domains including infrastructure logic, error handling, resource management, and type safety, offering side-by-side 'Good vs. Bad' code examples and concrete refactoring patterns. Whether you are performing a pre-merge code review, debugging a legacy system, or establishing team standards, this skill ensures your Python implementation follows professional modern idioms like Pydantic validation, proper context management, and non-blocking async patterns.

Características Principales

01Actionable refactoring patterns for error handling and partial batch failures.

02Testing strategy improvements to cover edge cases and prevent over-mocking.

030 GitHub stars

04Comprehensive audit checklist covering infrastructure, architecture, and resource management.

05Guidelines for implementing type safety and Pydantic-based input validation.

06Identification of performance-killing blocking calls in asynchronous code blocks.

Casos de Uso

01Refactoring legacy Python codebases to improve maintainability, performance, and type safety.

02Onboarding and mentoring developers on Python best practices and common pitfalls to avoid.

03Conducting pre-merge code reviews to ensure adherence to high-quality Pythonic standards.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sla-te/copilot-converter python-anti-patterns

For use in Claude.ai and ChatGPT

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