pythonista-async

Name: pythonista-async
Availability: InStock
Author: Gigaverse

Coordinate asyncio.gather tasks with fail-fast cancellation and optional timeouts.

4|Updated Jan 16, 2026

Search Tags:#python #concurrency #async #asyncio #timeout #cancellation #gather

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npx skills add https://github.com/gigaverse-app/skillet --skill pythonista-async

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Please help me install this Agent Skill.
Skill: pythonista-async
Source: https://github.com/gigaverse-app/skillet/tree/main/pythonista/skills/pythonista-async
Command: npx skills add https://github.com/gigaverse-app/skillet --skill pythonista-async

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinate multiple asynchronous tasks safely and efficiently to avoid race conditions, unhandled cancellations, and complex debugging of concurrency.

Core Features & Use Cases

Safe coordination patterns for asyncio.gather-like usage with fail-fast cancellation
Optional timeout support with automatic cleanup and proper cancellation handling
Partial results mode that can return exceptions as values for robust error reporting
Clear guidance for migrating existing code to safer concurrent patterns

Quick Start

Run a safe_gather-like operation to concurrently execute multiple coroutines with optional timeout and proper cancellation.

Frequently Asked Questions about pythonista-async

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I cancel remaining asyncio tasks when one coroutine raises an error?▼

To cancel remaining asyncio tasks during an error, you need a safe gather pattern that triggers fail-fast cancellation. This approach ensures that when one coroutine fails, the remaining tasks are automatically cancelled to prevent unhandled exceptions and race conditions.

What is the best way to handle partial results from asyncio.gather?▼

The best way to handle partial results from asyncio.gather is to use a partial results mode that returns exceptions as values. This allows your application to process successful outcomes while deterministically capturing and reporting failures without crashing the entire concurrent operation.

How do I add a timeout to asyncio.gather with proper cleanup?▼

To add a timeout to asyncio.gather with proper cleanup, implement a safe_gather-like API that supports optional timeouts and automatic cleanup. This ensures that if the timeout is reached, all running tasks are properly cancelled and cleaned up without leaving dangling coroutines.

Why does asyncio.gather leave tasks running after a timeout or cancellation?▼

asyncio.gather can leave tasks running after a timeout or cancellation because it does not inherently guarantee cleanup of pending coroutines. You need a safe coordination pattern that explicitly cancels remaining tasks to ensure graceful cleanup and avoid orphaned background operations.

Can I return exceptions as values instead of raising them in asyncio.gather?▼

Yes, you can return exceptions as values instead of raising them in asyncio.gather by using a partial results mode. This pattern captures exceptions deterministically as return values, enabling robust error reporting and allowing successful concurrent results to be processed independently.

How do I migrate existing asyncio code to safer concurrent patterns?▼

To migrate existing asyncio code to safer concurrent patterns, replace standard asyncio.gather calls with a safe_gather-like API. This provides fail-fast cancellation, optional timeouts, and deterministic exception handling, ensuring your concurrent operations gracefully clean up resources on failure.