Does this skill support modern Python syntax?

Yes, it is fully compatible with modern Python features, including Python 3.10+ union types (T | None) and f-string formatting.

How does it handle async/await issues?

It specifically scans for blocking calls like time.sleep or synchronous request libraries within async functions to prevent performance bottlenecks.

Will it flag intentional 'Any' usage in type hints?

No, it recognizes valid use cases for 'Any' when interacting with untyped external libraries, provided the usage is justified.

Can it replace standard linters like Flake8 or Black?

It complements standard linters by providing deep semantic analysis and logic reviews that go beyond simple formatting, while respecting 'noqa' comments.

Python Code Reviewer

Name: Python Code Reviewer
Author: existential-birds

byexistential-birds

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协作工具

Conducts comprehensive Python code reviews to ensure type safety, PEP8 compliance, and efficient asynchronous patterns.

关于

Python Code Reviewer is a specialized Claude Code skill designed to automate and enhance the code review process for Python applications. It systematically evaluates codebases for PEP8 stylistic adherence, robust type hinting (supporting modern Python 3.10+ syntax), and proper error handling patterns to prevent silent failures. By identifying blocking calls in async functions and flagging common pitfalls like mutable default arguments or print-based logging, this skill ensures production-grade code quality while following a strict verification protocol to provide accurate, actionable feedback.

主要功能

PEP8 style and naming convention enforcement
14 GitHub stars
Deep type safety validation for function signatures and return types
Identification of common Python 'gotchas' like mutable default arguments
Advanced error handling analysis and exception context checks
Detection of blocking calls and anti-patterns in asynchronous code

使用场景

Standardizing code style and type safety across large engineering teams
Optimizing async/await logic to prevent event loop starvation
Automating quality audits for complex Python microservices

关于

主要功能

PEP8 style and naming convention enforcement
14 GitHub stars
Deep type safety validation for function signatures and return types
Identification of common Python 'gotchas' like mutable default arguments
Advanced error handling analysis and exception context checks
Detection of blocking calls and anti-patterns in asynchronous code

使用场景

Standardizing code style and type safety across large engineering teams
Optimizing async/await logic to prevent event loop starvation
Automating quality audits for complex Python microservices