Async Python Patterns

About

This skill provides specialized guidance for implementing asynchronous Python applications using the asyncio library and concurrent programming paradigms. It equips Claude with the ability to generate production-ready code for async APIs, non-blocking I/O operations, and complex background task management, ensuring your Python systems are scalable and efficient. Whether you're building real-time WebSocket servers or high-throughput data scrapers, this skill offers the specific patterns needed to handle concurrency without the common pitfalls of race conditions or event loop blocking.

Key Features

• Concurrent execution patterns using asyncio.gather and task orchestration
• Advanced resource management with async context managers and iterators
• Synchronization primitives including semaphores for rate limiting and locks
• Implementation of core async/await syntax and event loop management
• Robust error handling and timeout strategies for asynchronous environments
• 0 GitHub stars

Use Cases

• Developing high-throughput web APIs with FastAPI, aiohttp, or Sanic
• Optimizing I/O-bound workloads like database queries and network requests
• Building scalable producer-consumer pipelines for background processing