Agent skill · software engineering · aiskillstore
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Why this skill is useful
Provides specific patterns and examples for implementing async programming in Python that the AI wouldn't reliably generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Async Python Patterns Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems. When to Use This Skill Building async web APIs (FastAPI, aiohttp, Sanic) Implementing concurrent I/O operations (database, file, network) Creating web scrapers with concurrent requests Developing real-time applications (WebSocket servers, chat systems) Processing multiple independent tasks simultaneously Building microservices with async communication Optimizing I/O-bound workloads Implementing async background tasks and queues Core Concepts 1. Event Loop The event loop is the heart of asyncio, managing and scheduling asynchronous tasks. Key characteristics: Single-threaded cooperative multitasking Schedules coroutines for execution Handles I/O operations without blocking Manages callbacks and futures 2. Coroutines Functions defined with async def that can be paused and resumed. Syntax: 3. Tasks Scheduled coroutines that run concurrently on the event loop. 4. Futures Low-level objects representing eventual results of async operations. 5. Async Context Managers Resources that support async with for proper cleanup. 6. Async Iterators Objects that support async for for iterating over async data sources. Quick Start Fundamental Patterns Pattern 1: Basic Async/Await Pattern 2: Concurrent Execution with gather() Pattern 3: Task Creation and Management Pattern 4: Error Handling in Async Code Pattern 5: Timeout Handling Advanced Patterns Pattern 6: Async Context Managers Pattern 7: Async Iterators and Generators Pattern 8: Producer-Consumer Pattern Pattern 9: Semaphore for Rate Limiting Pattern 10: Async Locks and Synchronization Real-World Applications Web Scraping with aiohttp Async Database Operations WebSocket Server Performance Best Practices 1. Use Connection Pools 2. Batch Operations 3. Avoid Blocking Operations Common Pitfalls 1. Forgetting await 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
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