Night Market Skill — ported from claude-night-market/parseltongue. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Async Python Patterns#

asyncio and async/await patterns for Python applications.

Quick Start#

python

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.