How does this skill help with web scraping?

It provides specific patterns for managing concurrent network requests using aiohttp and includes semaphore-based rate limiting to ensure your scraper is efficient yet respectful of target server limits.

Is this skill useful for database operations?

Yes, it includes patterns for managing async database connections and context managers, ensuring resources are properly opened and closed in a non-blocking manner.

Can I use this skill with web frameworks like FastAPI?

Yes, the skill is highly relevant for async-first frameworks like FastAPI, Sanic, and aiohttp, providing the underlying patterns needed for database connections and service-to-service communication.

Does it include error handling for concurrent tasks?

Absolutely. It covers advanced error handling techniques, including how to safely gather results from multiple tasks and how to implement timeouts using wait_for.

What is the Async Python Patterns skill?

It is a specialized capability for Claude Code that provides expert guidance, code patterns, and implementation strategies for asynchronous programming in Python using the asyncio library.

Async Python Patterns

Name: Async Python Patterns
Author: kivilaid

bykivilaid

•

API開発

Implements high-performance asynchronous Python patterns using asyncio for non-blocking I/O and concurrent application development.

概要

Async Python Patterns provides a comprehensive suite of implementation templates and best practices for building scalable, non-blocking Python applications. It guides developers through the complexities of the asyncio event loop, coroutine management, and concurrent task execution, offering proven patterns for web APIs, real-time systems, and efficient data processing. Whether you are optimizing I/O-bound workloads or managing complex producer-consumer architectures, this skill ensures robust error handling and proper synchronization in asynchronous environments.

主な機能

Advanced synchronization primitives including semaphores, locks, and queues
Robust error handling and timeout management for async operations
Comprehensive asyncio and async/await implementation templates
Concurrent execution management using gather and task scheduling
Real-world integration patterns for FastAPI, aiohttp, and async databases
6 GitHub stars

ユースケース

Scaling web APIs and microservices for high-concurrency traffic
Developing real-time systems like WebSocket servers and background task queues
Building efficient web scrapers and crawlers with built-in rate limiting

概要

主な機能

Advanced synchronization primitives including semaphores, locks, and queues
Robust error handling and timeout management for async operations
Comprehensive asyncio and async/await implementation templates
Concurrent execution management using gather and task scheduling
Real-world integration patterns for FastAPI, aiohttp, and async databases
6 GitHub stars

ユースケース

Scaling web APIs and microservices for high-concurrency traffic
Developing real-time systems like WebSocket servers and background task queues
Building efficient web scrapers and crawlers with built-in rate limiting