Can this skill help with web scraping?

Yes, it provides specific patterns for concurrent requests using aiohttp and rate limiting with semaphores, making it ideal for building high-speed, respectful data collectors.

Does it cover error handling in async environments?

Yes, the skill includes patterns for managing exceptions within task groups and implementing timeouts to ensure your asynchronous applications remain stable and responsive.

What is the primary benefit of using the Async Python Patterns skill?

It helps you implement non-blocking code in Python, allowing your applications to handle thousands of concurrent connections and I/O-bound tasks efficiently without thread overhead.

Is this skill compatible with modern Python web frameworks?

Absolutely. The patterns are designed to be used with modern async-first frameworks like FastAPI, Starlette, Sanic, and aiohttp for building scalable backend services.

Async Python Patterns

Name: Async Python Patterns
Author: carlopezzuto

bycarlopezzuto

API Development

Implements high-performance asynchronous Python patterns using asyncio and concurrent programming techniques.

About

This skill empowers developers to build non-blocking, high-performance Python applications by mastering the asyncio ecosystem. It provides comprehensive guidance on implementing core patterns such as concurrent execution with gather, task management, async context managers, and advanced synchronization primitives like semaphores and locks. Whether building real-time web APIs with FastAPI or optimizing I/O-bound workloads like web scraping and database operations, this skill ensures best practices for scalable and efficient asynchronous code implementation.

Key Features

Optimizes concurrent I/O operations for databases, networks, and file systems.
Facilitates producer-consumer patterns using async queues for background processing.
0 GitHub stars
Implements core asyncio patterns including async/await, tasks, and futures.
Provides advanced synchronization tools like semaphores for rate limiting and async locks.
Handles complex error management and timeout logic in asynchronous environments.

Use Cases

Building high-concurrency web APIs with FastAPI, aiohttp, or Sanic.
Developing efficient web scrapers that process multiple requests simultaneously.
Creating real-time communication systems like WebSocket servers or chat applications.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add carlopezzuto/agents async-python-patterns

For use in Claude.ai and ChatGPT

Download Skill

GitHub