Can I use this for existing codebases?

Yes, the skill includes a migration decision tree to help you decide when to upgrade existing asyncio code to more robust patterns or when to leave it as is.

Why use safe_gather over asyncio.gather?

Safe_gather provides fail-fast cancellation, built-in timeout support, and cleaner resource cleanup compared to the standard library implementation.

Does this skill support timeouts?

Yes, it emphasizes adding timeouts to all long-running operations to prevent hanging tasks and ensure system stability during heavy loads.

How does this skill handle partial task failures?

It provides patterns for using return_exceptions=True, allowing developers to process successful results while logging or handling specific exceptions without crashing the entire batch.

Python Async Patterns

Name: Python Async Patterns
Author: gigaverse-app

bygigaverse-app

API 개발

Implements robust asynchronous programming patterns in Python using best practices for concurrency and error handling.

소개

This skill enhances Claude's ability to write high-quality asynchronous Python code by enforcing the use of fail-fast patterns, timeout management, and safe concurrent execution. It prioritizes the safe_gather pattern over standard asyncio.gather to ensure better resource management, automatic cleanup, and reliable cancellation. Whether you are building backend services or complex data pipelines, this skill provides the implementation patterns needed to prevent race conditions, handle timeouts gracefully, and manage coroutine lifecycles effectively.

주요 기능

Best practices for partial success patterns and graceful shutdowns
Robust timeout management for long-running operations
Advanced cancellation and CancelledError handling
Migration guidance from standard asyncio.gather to safer alternatives
Implementation of fail-fast safe_gather patterns for concurrent tasks
0 GitHub stars

사용 사례

Implementing resilient service shutdown and cleanup logic
Building high-performance backend APIs with concurrent data fetching
Managing complex batch processing with timeout and error isolation

소개

주요 기능

Best practices for partial success patterns and graceful shutdowns
Robust timeout management for long-running operations
Advanced cancellation and CancelledError handling
Migration guidance from standard asyncio.gather to safer alternatives
Implementation of fail-fast safe_gather patterns for concurrent tasks
0 GitHub stars

사용 사례

Implementing resilient service shutdown and cleanup logic
Building high-performance backend APIs with concurrent data fetching
Managing complex batch processing with timeout and error isolation