python-async | parseltongue | ClaudePluginHub

Skill

Community

python-async

From parseltongue

11

Description

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Triggers: asyncio, async/await, coroutines, concurrent programming, async API, I/O-bound, websockets, background tasks, semaphores, async context managers Use when: building async APIs, concurrent systems, I/O-bound applications, implementing rate limiting, async context managers DO NOT use when: CPU-bound optimization - use python-performance instead. DO NOT use when: testing async code - use python-testing async module. Consult this skill for async Python patterns and concurrency.

Install

1

Add the repository(one-time)

$

/plugin marketplace add athola/claude-night-market

2

Install the plugin

$

/plugin install minister@claude-night-market

Tool Access

This skill inherits all available tools. When active, it can use any tool Claude has access to.

Supporting Assets

View in Repository

modules/advanced-patterns.md

modules/basic-patterns.md

modules/concurrency-control.md

modules/error-handling-timeouts.md

modules/pitfalls-best-practices.md

modules/real-world-applications.md

modules/testing-async.md

Skill Content

Async Python Patterns

asyncio and async/await patterns for Python applications.

Quick Start

import asyncio

async def main():
    print("Hello")
    await asyncio.sleep(1)
    print("World")

asyncio.run(main())

When to Use

Building async web APIs (FastAPI, aiohttp)
Implementing concurrent I/O operations
Creating web scrapers with concurrent requests
Developing real-time applications (WebSockets)
Processing multiple independent tasks simultaneously
Building microservices with async communication

Modules

This skill uses progressive loading. Content is organized into focused modules:

basic-patterns: Core async/await, gather(), and task management
concurrency-control: Semaphores and locks for rate limiting
error-handling-timeouts: Error handling, timeouts, and cancellation
advanced-patterns: Context managers, iterators, producer-consumer
testing-async: Testing with pytest-asyncio
real-world-applications: Web scraping and database operations
pitfalls-best-practices: Common mistakes and best practices

Load specific modules based on your needs, or reference all for comprehensive guidance.

Exit Criteria

Async patterns applied correctly
No blocking operations in async code
Proper error handling implemented
Rate limiting configured where needed
Tests pass with pytest-asyncio

Links

GitHub Stats

2 forks

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