Can it help with API rate limiting?

Absolutely. The skill includes specific patterns for using Semaphores to manage concurrency limits, ensuring your application doesn't overwhelm external services.

When should I use this skill?

Use it when building I/O-bound applications, such as web APIs, database-intensive scripts, or web scrapers that require concurrent execution to improve performance.

Does it support specific frameworks like FastAPI?

Yes, the patterns provided are compatible with all major modern Python async frameworks including FastAPI, aiohttp, Sanic, and Tortoise-ORM.

What is the Async Python Patterns skill?

It is a specialized capability for Claude Code that provides implementation patterns, best practices, and code snippets for Python's asynchronous programming features like asyncio and async/await.

What is the benefit of using async/await over multithreading?

Asyncio is more memory-efficient for I/O-bound tasks because it uses a single-threaded event loop to manage thousands of concurrent connections without the overhead of thread context switching.

Async Python Patterns

Name: Async Python Patterns
Author: HermeticOrmus

byHermeticOrmus

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API Development

Implements high-performance asynchronous patterns and concurrent programming techniques using Python's asyncio framework.

This skill empowers developers to master Python’s asynchronous ecosystem by providing expert guidance on asyncio, concurrent task management, and non-blocking I/O operations. It bridges the gap between basic syntax and complex real-world architectures like producer-consumer models, rate-limited API clients, and thread-safe shared state. Whether you are building scalable FastAPI backends, high-throughput web scrapers, or real-time WebSocket servers, this skill ensures your implementation follows industry best practices for performance and stability.

Key Features

01Performance optimization strategies for I/O-bound workloads and database connections

02Guidance on async-native structures including context managers, iterators, and generators

032 GitHub stars

04Advanced asyncio task orchestration using gather, wait_for, and create_task

05Standardized error handling and timeout management for resilient async operations

06Implementation of complex concurrency patterns like Producer-Consumer and Semaphores

Use Cases

01Developing high-concurrency web APIs with frameworks like FastAPI or Sanic

02Managing real-time data streams and asynchronous background tasks in microservices

03Building efficient web scrapers and data crawlers with aiohttp for parallel processing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/libreuiux-claude-code async-python-patterns

For use in Claude.ai and ChatGPT

Download Skill