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python-async

python-async

github.com/atholaDevelopment343102 installsUpdated 1d ago
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About python-async

A modular skill for applying asyncio and async/await patterns in Python applications. It guides developers through concurrency, error handling, and testing, with focused modules for common scenarios.

Key features

  1. 01Core async/await patterns
  2. 02Task and concurrency management
  3. 03Rate limiting with semaphores and locks
  4. 04Timeouts, errors, and cancellation
  5. 05Async testing with pytest-asyncio
  6. 06Common pitfalls and best practices

Use cases

  1. 01Building async web APIs
  2. 02Running concurrent I/O operations
  3. 03Creating concurrent web scrapers
  4. 04Developing WebSocket applications

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/athola/claude-night-market --skill python-async

After installing, type/python-asyncin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

modules/
advanced-patterns.md
basic-patterns.md
concurrency-control.md
error-handling-timeouts.md
pitfalls-best-practices.md
real-world-applications.md
testing-async.md

Details

From the project README

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

When NOT To Use

  • CPU-bound optimization - use python-performance instead
  • Testing async code - use python-testing async module

Modules

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

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

Load specific modules based on your needs, or reference all for detailed 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

Troubleshooting

Common Issues

RuntimeError: no current event loop Use asyncio.run() as the entry point. Avoid get_event_loop() in Python 3.10+.

Blocking call in async context Move sync I/O to asyncio.to_thread() or loop.run_in_executor().

Tests hang indefinitely Ensure pytest-asyncio is installed and test functions are decorated with @pytest.mark.asyncio.

Comments

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