The Async Python Patterns skill equips Claude with specialized patterns and best practices for building scalable, non-blocking Python applications. It guides developers through asyncio fundamentals—including event loop management, coroutine orchestration with asyncio.gather, task cancellation handling, timeout safeguards, and pytest-asyncio testing. Designed for high-concurrency environments, this skill prevents common asynchronous pitfalls like event loop blocking and sync/async impedance mismatches across web APIs, data pipelines, and microservices.
주요 기능
01Concurrent task orchestration using asyncio.gather and create_task
02Unit and integration testing patterns using pytest-asyncio
03Timeout enforcement and retry patterns with asyncio.wait_for
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05Non-blocking error handling and graceful cancellation management
06Architectural decision support for sync versus async paradigms
사용 사례
01Developing high-throughput REST and WebSocket APIs with FastAPI or aiohttp
02Processing high-volume asynchronous message queues and background worker tasks
03Executing concurrent web scraping and batch network requests without blocking