Does it cover error handling in async code?

Absolutely. The skill provides patterns for safely handling exceptions in concurrent tasks and managing timeouts using asyncio.wait_for.

Can this skill help with web scraping?

Yes, it includes specific patterns for concurrent web scraping using aiohttp to handle multiple network requests efficiently without blocking.

How do I handle rate limiting with this skill?

The skill includes patterns for using semaphores to limit the number of concurrent operations, preventing resource exhaustion or API rate-limit triggers.

What is the Async Python Patterns skill?

It is a specialized capability for Claude Code that provides implementation patterns and best practices for writing asynchronous Python code using the asyncio library.

Is this compatible with FastAPI and Sanic?

Yes, the patterns provided are ideal for building and optimizing high-performance async web APIs with modern frameworks like FastAPI, Sanic, and aiohttp.

Async Python Patterns

Name: Async Python Patterns
Author: Jamie-BitFlight

byJamie-BitFlight

•

API Development

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

The Async Python Patterns skill provides a comprehensive toolkit for developers building scalable, non-blocking applications in Python. It offers expert guidance and ready-to-use implementation patterns for the asyncio library, covering everything from basic coroutine management and concurrent task execution with gather() to advanced concepts like asynchronous context managers, producer-consumer queues, and rate-limiting with semaphores. Whether you are building high-throughput FastAPI services, efficient web scrapers, or real-time WebSocket applications, this skill ensures your code follows industry best practices for performance and error handling in asynchronous environments.

Key Features

01Standardized error handling and timeout management for resilient async operations

02Patterns for asynchronous context managers and iterators

03Implementation of core asyncio patterns like gather, wait_for, and create_task

04Advanced concurrency structures including producer-consumer queues and semaphores

0511 GitHub stars

06Real-world integration examples for aiohttp and async database operations

Use Cases

01Optimizing I/O-bound microservices and asynchronous database communication layers

02Building high-concurrency web APIs with FastAPI, Sanic, or aiohttp

03Developing efficient web scrapers that process thousands of concurrent requests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jamie-bitflight/claude_skills async-python-patterns

For use in Claude.ai and ChatGPT

Download Skill