Is this skill useful for junior developers?

It is an excellent educational tool for learning professional Python architecture and best practices that go beyond basic syntax and tutorials.

How does this skill improve my Python code?

It provides a structured checklist to identify non-idiomatic or risky code patterns, offering standardized fixes for common issues like bare exceptions and resource leaks.

Can I use this for async Python projects?

Yes, it specifically includes patterns for avoiding blocking calls in asynchronous code and managing context managers correctly in async environments.

Does it help with Pydantic and type hints?

Absolutely, it encourages the use of Pydantic for input validation and provides guidance on implementing mandatory type annotations for public APIs.

Python Anti-Patterns Checklist

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

bysla-te

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Developer Tools

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

This skill provides a systematic approach to code reviews and refactoring by identifying common Python anti-patterns across infrastructure, architecture, and resource management. It offers actionable 'Good vs. Bad' code examples to help developers transition from sub-optimal implementations to production-grade, idiomatic Python. Whether you are debugging mysterious runtime issues or establishing team standards, this checklist ensures your code remains maintainable, type-safe, and performant.

Key Features

01Comprehensive checklist for code reviews and pre-merge validation

02Resource management patterns for handling files and avoiding blocking calls in async code

030 GitHub stars

04Detailed examples of infrastructure anti-patterns like scattered retries and hard-coded secrets

05Best practices for robust error handling, including specific exception catching and batch processing

06Architectural guidance for decoupling I/O from core business logic using repositories

Use Cases

01Refactoring legacy Python codebases to align with modern best practices and PEP 8

02Performing deep-dive code reviews to catch architectural flaws before merging

03Onboarding developers and teaching idiomatic Python patterns through real-world examples

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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