Can I use these patterns for web scraping?

Yes, the skill includes specific patterns for concurrent requests and semaphore-based rate limiting, which are essential for high-performance scraping.

Is this skill compatible with modern Python web frameworks?

Yes, the patterns are designed to be fully compatible with async-first frameworks like FastAPI, Sanic, and aiohttp.

What is the main benefit of using this skill with Claude Code?

It provides standardized, best-practice patterns for Python's asyncio, helping Claude generate code that avoids common pitfalls like accidentally blocking the event loop.

Does it include error handling for concurrent tasks?

Absolutely. It covers robust strategies for managing exceptions in concurrent execution environments using asyncio.gather and specialized try-except blocks.

Does it provide help with resource management?

Yes, it includes patterns for async context managers, which ensure that resources like database connections and network sessions are properly opened and closed.

Async Python Patterns

Name: Async Python Patterns
Author: amurata

byamurata

•

API Development

Implements high-performance Python concurrency patterns using asyncio and non-blocking I/O for scalable applications.

About

This skill provides comprehensive guidance and ready-to-use boilerplate for mastering the Python asyncio ecosystem. It empowers developers to build high-performance, non-blocking systems such as web APIs, real-time services, and concurrent data processors. By providing implementation patterns for everything from basic async/await syntax to advanced producer-consumer queues and rate-limiting semaphores, the skill ensures robust error handling and efficient resource management for any I/O-bound Python project.

Key Features

Production-ready examples for aiohttp and asynchronous database integrations
Advanced synchronization primitives including locks, semaphores, and event loops
Comprehensive error handling and timeout strategies for non-blocking operations
3 GitHub stars
Standardized asyncio implementation patterns for concurrent task execution
Pattern-based templates for async context managers and iterators

Use Cases

Scaling web APIs using FastAPI or Sanic to handle thousands of concurrent connections
Developing real-time microservices and WebSocket servers requiring non-blocking logic
Building high-speed web scrapers with rate-limited concurrent network requests

About

Key Features

Production-ready examples for aiohttp and asynchronous database integrations
Advanced synchronization primitives including locks, semaphores, and event loops
Comprehensive error handling and timeout strategies for non-blocking operations
3 GitHub stars
Standardized asyncio implementation patterns for concurrent task execution
Pattern-based templates for async context managers and iterators

Use Cases

Scaling web APIs using FastAPI or Sanic to handle thousands of concurrent connections
Developing real-time microservices and WebSocket servers requiring non-blocking logic
Building high-speed web scrapers with rate-limited concurrent network requests