asyncio-concurrency-patterns — Claude Code skill for asyncio patterns

What asyncio-concurrency-patterns does

The skill walks through Python's asyncio: the event loop, coroutines defined with async def, tasks, futures, synchronization primitives and async context managers. It is organised by pattern rather than by API reference.

Four patterns come with code. asyncio.gather runs coroutines concurrently and returns results in input order. asyncio.wait lets you pick what to wait for: the first task done, the first exception, or all of them. asyncio.Semaphore caps how many operations run at once, and asyncio.Lock guards a critical section. The examples use aiohttp, so that library has to be installed before the code runs.

The payoff shows up wherever network calls pile up: parallel HTTP requests, websockets, database connection pools. The skill advises putting a semaphore in front of requests to an external API, because otherwise you hit its rate limits fast. The text cuts off inside the Lock section, so the remaining synchronization primitives are not covered.