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python-async

// Consult this skill for async Python patterns and concurrency. 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 - u

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stars:201
forks:38
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namepython-async
descriptionConsult this skill for async Python patterns and concurrency. 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.
version1.7.1
globs**/*.py
alwaysApplyfalse
categoryasync
tagspython,async,asyncio,concurrency,await,coroutines
toolsasync-analyzer,concurrency-checker
usage_patternsasync-api-development,concurrent-io,websocket-servers,background-tasks
complexityintermediate
model_hintstandard
estimated_tokens400
progressive_loadingtrue
modulesbasic-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

When NOT To Use

  • CPU-bound optimization - use python-performance instead
  • Testing async code - use python-testing async module

Modules

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

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

Load specific modules based on your needs, or reference all for detailed 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

Troubleshooting

Common Issues

RuntimeError: no current event loop Use asyncio.run() as the entry point. Avoid get_event_loop() in Python 3.10+.

Blocking call in async context Move sync I/O to asyncio.to_thread() or loop.run_in_executor().

Tests hang indefinitely Ensure pytest-asyncio is installed and test functions are decorated with @pytest.mark.asyncio.