Why should I use TaskGroup instead of asyncio.gather?

TaskGroup provides structured concurrency, which means if one sub-task fails, all other tasks in the group are automatically cancelled and cleaned up. This prevents 'leaked' tasks and makes error handling much more predictable compared to the legacy gather() method.

How does this skill handle blocking synchronous code?

The skill utilizes patterns like asyncio.to_thread and loop.run_in_executor to offload blocking sync calls or CPU-intensive tasks to separate threads, ensuring the main event loop remains responsive.

Does this work with older versions of Python?

While some concepts apply generally, this skill specifically targets Python 3.11+ to take advantage of native features like TaskGroup and ExceptionGroups (except*), which represent the modern standard for async Python.

What is the importance of re-raising CancelledError?

In structured concurrency, swallowing a CancelledError breaks the cancellation chain. This skill enforces the pattern of always re-raising CancelledError to ensure that TaskGroups and timeouts can properly shut down concurrent operations.

Advanced Python Asyncio

Name: Advanced Python Asyncio
Author: yonatangross

byyonatangross

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Desarrollo de API

Implements high-performance Python concurrency using modern 3.11+ asyncio features and structured concurrency patterns.

This skill provides production-ready implementations of advanced Python asyncio patterns, focusing on the structured concurrency model introduced in Python 3.11. It enables Claude to manage complex concurrent operations using TaskGroups, implement robust error handling with ExceptionGroups, and bridge synchronous code to asynchronous environments without blocking the event loop. It is an essential toolkit for developers building scalable backends, high-performance APIs, and efficient data processing pipelines that require precise control over task lifecycles, timeouts, and resource-safe rate limiting.

Características Principales

01Composable timeout management and safe cancellation handling

02Resource-safe concurrency limiting using asynchronous semaphores

03Structured concurrency implementation using Python 3.11+ TaskGroups

04Advanced error propagation with ExceptionGroups and except* syntax

0569 GitHub stars

06Optimized sync-to-async bridging for CPU-bound or blocking operations

Casos de Uso

01Implementing rate-limited async clients to prevent resource exhaustion or API throttling

02Orchestrating multiple concurrent API requests or database queries with shared lifecycles

03Migrating legacy asyncio codebases to modern structured concurrency standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit asyncio-advanced

For use in Claude.ai and ChatGPT

Download Skill