Skill

async-python-patterns

Guides async Python implementation using asyncio, concurrent patterns, and async/await for I/O-bound apps like FastAPI APIs, web scrapers, and real-time systems.

Python

Fastapi

backend

performance

npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-python-pro

Popularity

Parent stars

37,904

Parent forks

6,202

Shared by

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/antigravity-bundle-python-pro:async-python-patterns

User invocable

Model invocable

Inline context

Default effort

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

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

Supporting Files

resources/implementation-playbook.md

SKILL.md

48 lines · ~510 tokens

Similar Skills

async-python-patterns

38.0k

Guides async Python implementation using asyncio, concurrent patterns, and async/await for I/O-bound apps like FastAPI APIs, web scrapers, and real-time systems.

1 file

antigravity-awesome-skills

Async Python Patterns

faos-dev

python-async

279

Provides asyncio patterns and best practices for async Python: concurrency control, rate limiting, context managers in I/O-bound apps, APIs, WebSockets.

7 files

parseltongue

Stats

LanguagePython

Parent stars37,904

Parent forks6,202

MaintenanceExcellent

Last CommitMay 16, 2026

Actions

View Source View Plugin View on GitHub View README

Help us improve

Share bugs, ideas, or general feedback.

Stats

Actions

Help us improve

Share bugs, ideas, or general feedback.

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.

Limitations

Use this skill only when the task clearly matches the scope described above.

Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.