Skill

async-python-patterns

Implements async Python patterns with asyncio for I/O-bound apps like FastAPI APIs, concurrent I/O, web scrapers, and real-time WebSocket systems.

Python

Fastapi

backend

api-development

From antigravity-awesome-skills

Install

Run in your terminal

npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-awesome-skills

Tool Access

This skill uses the workspace's default tool permissions.

Supporting Assets

View in Repository

resources/implementation-playbook.md

Skill Content

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Stats

Parent Repo Stars30787

Parent Repo Forks5140

Last CommitMar 29, 2026

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Async Python Patterns

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Use this skill when

Building async web APIs (FastAPI, aiohttp, Sanic)
Implementing concurrent I/O operations (database, file, network)
Creating web scrapers with concurrent requests
Developing real-time applications (WebSocket servers, chat systems)
Processing multiple independent tasks simultaneously
Building microservices with async communication
Optimizing I/O-bound workloads
Implementing async background tasks and queues

Do not use this skill when

The workload is CPU-bound with minimal I/O.
A simple synchronous script is sufficient.
The runtime environment cannot support asyncio/event loop usage.

Instructions

Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints.
Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules.
Add timeouts, backpressure, and structured error handling.
Include testing and debugging guidance for async code paths.
If detailed examples are required, open resources/implementation-playbook.md.

Refer to resources/implementation-playbook.md for detailed patterns and examples.

Resources

resources/implementation-playbook.md for detailed patterns and examples.