Skill

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-...

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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.

Supporting Assets

resources/implementation-playbook.md

SKILL.md

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Last CommitFeb 27, 2026

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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.