Is this skill suitable for CPU-bound tasks?

While primarily focused on I/O-bound tasks using asyncio, the skill provides the architectural foundation to properly structure applications before offloading CPU-intensive work to subprocesses or thread pools.

How does this help with error handling in asyncio?

It provides structured patterns for capturing and handling exceptions within concurrent tasks, including safe usage of asyncio.gather and task management.

Can it help prevent race conditions in asynchronous code?

Absolutely. The skill provides proven patterns for synchronization using async locks and semaphores to manage shared resources safely in a concurrent environment.

Does this skill support libraries like FastAPI and aiohttp?

Yes, it includes specific patterns and best practices for the most popular async libraries including FastAPI, aiohttp, Sanic, and async database drivers.

When should I use the Async Python Patterns skill?

Use this skill when building I/O-bound applications, such as web APIs, scrapers, or services that require concurrent database or network operations without blocking the execution thread.

Async Python Patterns

Name: Async Python Patterns
Author: HermeticOrmus

byHermeticOrmus

Desarrollo de API

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

Acerca de

This skill provides Claude with specialized knowledge and implementation patterns for Python's asynchronous ecosystem, centered on the asyncio library. It enables the creation of efficient, non-blocking applications by leveraging coroutines, event loops, and advanced concurrency structures like semaphores and queues. Whether you are building high-throughput web APIs with FastAPI, scraping data concurrently with aiohttp, or managing complex background tasks, this skill ensures best practices for error handling, task management, and resource synchronization are followed to produce production-grade code.

Características Principales

Implementation of async-specific constructs like context managers and iterators.
Standardized async/await implementation for non-blocking I/O operations.
Concurrent execution management using asyncio tasks and the gather() pattern.
0 GitHub stars
Advanced synchronization patterns including semaphores for rate limiting and locks.
Robust error handling and timeout management for asynchronous workflows.

Casos de Uso

Creating scalable web scrapers with concurrent request handling and rate limiting.
Implementing efficient background task processing and producer-consumer queues.
Building high-performance web APIs using FastAPI, aiohttp, or Sanic.

Acerca de

Características Principales

Implementation of async-specific constructs like context managers and iterators.
Standardized async/await implementation for non-blocking I/O operations.
Concurrent execution management using asyncio tasks and the gather() pattern.
0 GitHub stars
Advanced synchronization patterns including semaphores for rate limiting and locks.
Robust error handling and timeout management for asynchronous workflows.

Casos de Uso

Creating scalable web scrapers with concurrent request handling and rate limiting.
Implementing efficient background task processing and producer-consumer queues.
Building high-performance web APIs using FastAPI, aiohttp, or Sanic.