Python Async Patterns

概要

This skill provides a standardized framework for building high-performance, I/O-bound Python applications using modern async/await patterns. It enforces best practices for concurrent execution, including structured concurrency with TaskGroups, sophisticated retry logic with exponential backoff, and strict resource cleanup using async context managers. By integrating this skill, developers can ensure their asynchronous code is resilient to timeouts, network failures, and race conditions while maintaining clear task lifecycles and preventing common pitfalls like unawaited coroutines or resource leaks.

主な機能

• Safe resource cleanup via async context managers and background task tracking
• 0 GitHub stars
• Structured concurrency using Python 3.11+ TaskGroups for safe task management
• Comprehensive error handling for async functions and aiohttp requests
• Robust retry logic with configurable exponential backoff for transient failures
• Built-in rate limiting and timeout management for external I/O operations

ユースケース

• Building resilient web scrapers and API clients using aiohttp and concurrent requests
• Managing long-running background tasks with safe shutdown and cancellation logic
• Implementing high-performance data streaming pipelines using async generators