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SKILL.md

name python-async
description Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Triggers: asyncio, async/await, coroutines, concurrent programming, async API, I/O-bound, websockets, background tasks, semaphores, async context managers Use when: building async APIs, concurrent systems, I/O-bound applications, implementing rate limiting, async context managers DO NOT use when: CPU-bound optimization - use python-performance instead. DO NOT use when: testing async code - use python-testing async module. Consult this skill for async Python patterns and concurrency.
version 1.0.0
category async
tags python, async, asyncio, concurrency, await, coroutines
tools async-analyzer, concurrency-checker
usage_patterns async-api-development, concurrent-io, websocket-servers, background-tasks
complexity intermediate
estimated_tokens 400
progressive_loading true
modules basic-patterns, concurrency-control, error-handling-timeouts, advanced-patterns, testing-async, real-world-applications, pitfalls-best-practices

Async Python Patterns

asyncio and async/await patterns for Python applications.

Quick Start

import asyncio

async def main():
    print("Hello")
    await asyncio.sleep(1)
    print("World")

asyncio.run(main())

When to Use

  • Building async web APIs (FastAPI, aiohttp)
  • Implementing concurrent I/O operations
  • Creating web scrapers with concurrent requests
  • Developing real-time applications (WebSockets)
  • Processing multiple independent tasks simultaneously
  • Building microservices with async communication

Modules

This skill uses progressive loading. Content is organized into focused modules:

  • basic-patterns: Core async/await, gather(), and task management
  • concurrency-control: Semaphores and locks for rate limiting
  • error-handling-timeouts: Error handling, timeouts, and cancellation
  • advanced-patterns: Context managers, iterators, producer-consumer
  • testing-async: Testing with pytest-asyncio
  • real-world-applications: Web scraping and database operations
  • pitfalls-best-practices: Common mistakes and best practices

Load specific modules based on your needs, or reference all for comprehensive guidance.

Exit Criteria

  • Async patterns applied correctly
  • No blocking operations in async code
  • Proper error handling implemented
  • Rate limiting configured where needed
  • Tests pass with pytest-asyncio