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async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

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name:async-python-patternsdescription:Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

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.

      • async-python-patterns - Agent Skills