When should I use this skill?

Use this skill when building I/O-bound applications such as web APIs, web scrapers, or microservices that need to handle many concurrent operations without blocking the main thread.

Is it compatible with modern Python web frameworks?

Yes, the patterns provided are foundational for and fully compatible with modern async frameworks such as FastAPI, Sanic, and aiohttp.

What is the Async Python Patterns skill?

It is a specialized capability that enables Claude to provide expert guidance and implementation patterns for asynchronous Python development using the asyncio library.

Does it include patterns for error handling?

Yes, it provides robust patterns for handling exceptions within concurrent tasks, managing timeouts, and safely gathering results from multiple async operations.

Can this skill help with API rate limiting?

Absolutely. It includes specific patterns for using Semaphores to limit the number of concurrent network requests, ensuring you don't overwhelm external APIs.

Async Python Patterns

Name: Async Python Patterns
Author: HermeticOrmus

byHermeticOrmus

API Development

Implements high-performance asynchronous Python patterns using asyncio for non-blocking I/O and concurrent application development.

About

Async Python Patterns provides a comprehensive framework for building scalable, high-performance applications using Python's asyncio library. It enables developers to master core concepts like event loops, coroutines, and tasks while providing battle-tested implementation patterns for complex scenarios such as concurrent API requests, rate limiting with semaphores, and producer-consumer queues. Whether you are building real-time WebSocket servers or optimizing I/O-bound microservices, this skill ensures your code follows best practices for efficiency, resource management, and maintainability.

Key Features

0 GitHub stars
Implementation of advanced asyncio patterns including gather and wait_for
Async context managers and iterators for efficient resource lifecycle management
Concurrent execution patterns with integrated error handling and exception management
Synchronization primitives including Locks and Semaphores for precise rate limiting
Producer-consumer queue implementations for background task processing and streaming

Use Cases

Building high-concurrency web APIs with frameworks like FastAPI, aiohttp, or Sanic
Developing efficient web scrapers and network crawlers that handle multiple requests concurrently
Optimizing database-intensive applications using non-blocking I/O operations

About

Key Features

0 GitHub stars
Implementation of advanced asyncio patterns including gather and wait_for
Async context managers and iterators for efficient resource lifecycle management
Concurrent execution patterns with integrated error handling and exception management
Synchronization primitives including Locks and Semaphores for precise rate limiting
Producer-consumer queue implementations for background task processing and streaming

Use Cases

Building high-concurrency web APIs with frameworks like FastAPI, aiohttp, or Sanic
Developing efficient web scrapers and network crawlers that handle multiple requests concurrently
Optimizing database-intensive applications using non-blocking I/O operations