Does this cover asynchronous Python programming?

Absolutely. It specifically identifies common async mistakes, such as using blocking calls like time.sleep() or synchronous requests inside an async event loop, and suggests async-native alternatives.

Is this skill suitable for junior developers?

Yes, it is an excellent educational tool that explains not just what is wrong, but why it is considered an anti-pattern and how to fix it using modern Python standards like Pydantic and type annotations.

How does this skill help during a code review?

It provides a standardized checklist that Claude uses to scan your code for common mistakes like hard-coded secrets, bare exceptions, or missing type hints before you finalize your implementation.

Can it fix the anti-patterns it finds?

Yes, when Claude identifies an anti-pattern using this skill, it can suggest and implement the recommended 'Good' patterns provided in the reference documentation.

Python Anti-Pattern Reviewer

Name: Python Anti-Pattern Reviewer
Author: duanbiao2000

byduanbiao2000

0•

보안 및 테스팅

Identifies and corrects common Python coding mistakes, infrastructure flaws, and architectural anti-patterns to ensure production-grade code quality.

The Python Anti-Patterns skill serves as a comprehensive quality assurance layer for Claude, providing a standardized checklist to detect and fix common pitfalls in Python development. It covers critical areas such as scattered retry logic, resource leaks, bare exception handling, and improper async implementations. By integrating this skill, developers can automate the identification of 'code smells' during code reviews, debugging sessions, or refactoring projects, ensuring that the resulting codebase adheres to industry-standard best practices while maintaining high type safety and robust test coverage.

주요 기능

01Identifies resource management issues such as unclosed files or blocking calls in async loops

020 GitHub stars

03Enforces error handling best practices to prevent silent failures and unhandled partial batch errors

04Detects architectural flaws like mixed I/O and business logic or exposed ORM models

05Analyzes testing strategies to ensure edge cases and error paths are adequately covered

06Promotes type safety through validation of type hints and typed collections

사용 사례

01Debugging complex production issues rooted in improper timeout, retry logic, or resource leaks

02Automating code reviews to catch subtle bugs and anti-patterns before merging pull requests

03Refactoring legacy Python codebases to align with modern clean code and architectural standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add duanbiao2000/obsidiandoc26 python-anti-patterns

For use in Claude.ai and ChatGPT

Download Skill