Does this skill support the latest Python features?

Yes, it is optimized for Python 3.13 and includes support for modern features like TaskGroups and structured concurrency introduced in Python 3.11+.

How does it handle task cancellation?

The skill provides standardized patterns for graceful cancellation handling using try/except CancelledError blocks, ensuring resources are cleaned up even when tasks are interrupted.

Can I use this for API rate limiting?

Yes, it includes a dedicated RateLimiter implementation that uses asyncio.Lock to manage call frequency and prevent hitting API thresholds.

Does it simplify concurrent execution?

Absolutely; it provides clear templates for using asyncio.gather with error suppression and TaskGroups for more complex, inter-dependent task management.

Python Async Patterns

Name: Python Async Patterns
Author: Agentient

byAgentient

0•

API Development

Implements robust asynchronous programming patterns with comprehensive error handling and resource management for Python 3.13.

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.

Key Features

01Safe resource cleanup via async context managers and background task tracking

020 GitHub stars

03Structured concurrency using Python 3.11+ TaskGroups for safe task management

04Comprehensive error handling for async functions and aiohttp requests

05Robust retry logic with configurable exponential backoff for transient failures

06Built-in rate limiting and timeout management for external I/O operations

Use Cases

01Building resilient web scrapers and API clients using aiohttp and concurrent requests

02Managing long-running background tasks with safe shutdown and cancellation logic

03Implementing high-performance data streaming pipelines using async generators

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit async-patterns

For use in Claude.ai and ChatGPT

Download Skill