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async-python-patterns

Build Python applications that keep other tasks moving while waiting for network, database, or file operations. Guides the choice of asyncio patterns, with timeouts, cancellation, error handling, and testing for asynchronous code.

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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

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适用场景

  • Build an asynchronous web API
  • Fetch multiple web pages concurrently
  • Develop a WebSocket server or chat system
  • Design background tasks and queues

包含的文件(2)

  • SKILL.md2.0 KB
  • resources/implementation-playbook.md17.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Async Python Patterns

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Use this skill when

  • Building async web APIs (FastAPI, aiohttp, Sanic)
  • Implementing concurrent I/O operations (database, file, network)
  • Creating web scrapers with concurrent requests
  • Developing real-time applications (WebSocket servers, chat systems)
  • Processing multiple independent tasks simultaneously
  • Building microservices with async communication
  • Optimizing I/O-bound workloads
  • Implementing async background tasks and queues

Do not use this skill when

  • The workload is CPU-bound with minimal I/O.
  • A simple synchronous script is sufficient.
  • The runtime environment cannot support asyncio/event loop usage.

Instructions

  • Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints.
  • Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules.
  • Add timeouts, backpressure, and structured error handling.
  • Include testing and debugging guidance for async code paths.
  • If detailed examples are required, open resources/implementation-playbook.md.

Refer to resources/implementation-playbook.md for detailed patterns and examples.

Resources

  • resources/implementation-playbook.md for detailed patterns and examples.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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