Can this skill help with performance bottlenecks?

Yes. It identifies blocking calls like time.sleep() or synchronous requests and replaces them with non-blocking alternatives like asyncio.sleep(), which prevents the entire application from freezing.

Does it support parallel execution?

Absolutely. The skill provides patterns for using asyncio.gather() to run multiple tasks concurrently, including best practices for error handling with the return_exceptions parameter.

Why does this skill prevent the use of asyncio.run()?

Calling asyncio.run() inside a function that is already being executed by an event loop (like in FastAPI or Sanic) causes a runtime error. This skill enforces the use of the 'await' keyword instead.

Is this compatible with popular Python testing frameworks?

Yes, it specifically includes patterns for pytest and automatically applies the @pytest.mark.asyncio decorator to ensure async tests run correctly.

Python Async/Await Pattern Enforcer

Name: Python Async/Await Pattern Enforcer
Author: ricardoroche

byricardoroche

API 开发

Ensures proper Python async/await pattern usage and prevents event loop runtime errors by enforcing non-blocking code standards.

关于

The Async/Await Pattern Enforcer is a specialized skill for Claude Code designed to optimize and safeguard Python asynchronous programming. It automatically identifies and corrects common pitfalls, such as calling asyncio.run() within an existing event loop or using blocking calls like time.sleep() inside async functions. By providing standardized patterns for database queries, HTTP requests, and parallel execution with asyncio.gather(), this skill ensures your code remains performant and error-free in frameworks like FastAPI, Starlette, and Sanic.

主要功能

Prevents runtime errors by blocking asyncio.run() in active event loops
Enforces 'async def' and 'await' chains across related function calls
Optimizes parallel task execution using safe asyncio.gather patterns
Standardizes async testing with automated pytest-asyncio configurations
Automatically converts blocking synchronous code to non-blocking async equivalents
0 GitHub stars

使用场景

Implementing high-performance parallel I/O operations for database and API calls
Refactoring synchronous Python libraries for use in FastAPI or Starlette applications
Debugging 'RuntimeError: This event loop is already running' in complex async apps

关于

主要功能

Prevents runtime errors by blocking asyncio.run() in active event loops
Enforces 'async def' and 'await' chains across related function calls
Optimizes parallel task execution using safe asyncio.gather patterns
Standardizes async testing with automated pytest-asyncio configurations
Automatically converts blocking synchronous code to non-blocking async equivalents
0 GitHub stars

使用场景

Implementing high-performance parallel I/O operations for database and API calls
Refactoring synchronous Python libraries for use in FastAPI or Starlette applications
Debugging 'RuntimeError: This event loop is already running' in complex async apps