Async Python Patterns

关于

This skill empowers Claude to architect and implement efficient asynchronous Python codebases. It provides deep expertise in asyncio fundamentals like event loops and coroutines, alongside advanced implementation patterns like producer-consumer queues, semaphores for rate limiting, and safe error handling. It is particularly useful for developers building scalable web APIs, real-time systems, or I/O-intensive data collectors where traditional synchronous execution would cause performance bottlenecks.

主要功能

• Scalable I/O management with async context managers and iterators
• Specialized patterns for rate limiting and resource synchronization
• Comprehensive implementation of async/await and coroutine logic
• Robust error handling and timeout strategies for asynchronous workflows
• 2 GitHub stars
• Advanced concurrency control using asyncio.gather, Tasks, and Futures

使用场景

• Developing high-performance APIs with FastAPI, aiohttp, or Sanic
• Building concurrent web scrapers and network-intensive data collectors
• Optimizing database-heavy applications through non-blocking I/O operations