cc-async-patterns

Guide Python asyncio, FastAPI, and aiohttp patterns for concurrent I/O tasks.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/z23cc/cc-code --skill cc-async-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cc-async-patterns
Source: https://github.com/z23cc/cc-code/tree/main/skills/cc-async-patterns
Command: npx skills add https://github.com/z23cc/cc-code --skill cc-async-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline asynchronous I/O in Python by teaching proper use of async/await, asyncio primitives, and web frameworks integration to reduce complexity and bugs in concurrent code.

Core Features & Use Cases

  • Basic async/await patterns for coroutines
  • Concurrency primitives like gather, TaskGroup, and Semaphore for scalable parallelism
  • Async web patterns with FastAPI and aiohttp, including error handling and timeouts
  • Testing and reliability practices for asynchronous code

Quick Start

Describe an async task you want to optimize and I will apply proper asyncio patterns to implement it.

Frequently Asked Questions about cc-async-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle concurrent HTTP calls in Python without blocking the event loop?

Concurrent HTTP calls in Python are handled using asyncio primitives like gather and TaskGroup. These patterns allow you to execute multiple async web requests in parallel, maximizing I/O scalability without blocking the event loop.

What is the best way to manage async database queries and file I/O in FastAPI?

The best way to manage async database queries and file I/O in FastAPI is by applying proper async/await patterns. Using semaphores controls parallelism, preventing resource exhaustion while maintaining high throughput for concurrent background tasks.

How do I implement error handling and timeouts for asyncio tasks?

Error handling and timeouts for asyncio tasks are implemented using structured concurrency patterns. You apply asyncio.wait_for for timeouts and use TaskGroup to manage cancellation, ensuring reliable error propagation across concurrent operations.

When should I use a Semaphore instead of gather for async concurrency?

A Semaphore is used instead of gather when you need to limit concurrent access to resources. While gather launches all tasks simultaneously, a Semaphore restricts parallelism, preventing rate limits or connection pool exhaustion during concurrent I/O.

Why does my async aiohttp code lose requests during high concurrency?

Async aiohttp code loses requests during high concurrency due to missing error handling or unmanaged timeouts. Applying structured asyncio patterns with TaskGroup ensures failed requests are caught and managed without silently dropping concurrent operations.

Can I use asyncio TaskGroup to manage background tasks in web services?

Yes, you can use asyncio TaskGroup to manage background tasks in web services. TaskGroup provides structured concurrency, ensuring all spawned tasks are awaited or cancelled properly, which increases reliability for concurrent operations.