What is the Async Python Patterns skill?

It is a specialized capability for Claude that provides expert guidance and boilerplate code for Python's asynchronous programming ecosystem, focusing on asyncio and non-blocking patterns.

Does this skill support specific Python frameworks?

Yes, the patterns provided are compatible with popular async frameworks including FastAPI, aiohttp, and Sanic, as well as native asyncio applications.

When should I use this skill instead of standard Python code?

Use this skill when your application is I/O-bound, such as when making multiple API calls, querying databases, or handling many simultaneous network connections.

Can I use this for web scraping?

Absolutely. It includes specific patterns for aiohttp and rate-limiting with semaphores, which are essential for building efficient and polite web scrapers.

How does this skill handle async error management?

It provides standardized patterns for safe exception handling within concurrent tasks, including the use of return_exceptions in gather() and robust timeout wrappers.

Async Python Patterns

Name: Async Python Patterns
Author: HermeticOrmus

byHermeticOrmus

Desarrollo de API

Implements high-performance Python applications using asyncio, non-blocking I/O patterns, and concurrent execution strategies.

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This skill provides a comprehensive library of asynchronous Python patterns designed to help developers master the asyncio ecosystem. It bridges the gap between basic syntax and production-grade implementation by covering fundamental concepts like the event loop and coroutines alongside advanced patterns such as the producer-consumer model, rate limiting with semaphores, and robust async error handling. Whether you are building real-time web APIs with FastAPI or high-throughput web scrapers, this skill ensures your applications remain responsive and efficient during heavy I/O-bound workloads.

Características Principales

Concurrent execution strategies using gather() and task management
Advanced synchronization patterns with async Locks and Semaphores
Non-blocking producer-consumer queue architectures
Comprehensive async error handling and timeout management
Implementation of core asyncio concepts including coroutines, tasks, and futures
0 GitHub stars

Casos de Uso

Building high-concurrency web APIs with FastAPI, aiohttp, or Sanic
Optimizing I/O-bound workloads like database queries and network requests
Developing real-time systems such as WebSocket servers and background task processors

Acerca de

Características Principales

Concurrent execution strategies using gather() and task management
Advanced synchronization patterns with async Locks and Semaphores
Non-blocking producer-consumer queue architectures
Comprehensive async error handling and timeout management
Implementation of core asyncio concepts including coroutines, tasks, and futures
0 GitHub stars

Casos de Uso

Building high-concurrency web APIs with FastAPI, aiohttp, or Sanic
Optimizing I/O-bound workloads like database queries and network requests
Developing real-time systems such as WebSocket servers and background task processors