/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.
One skill from agentic-awesome-skills.
shell
$ npx -y skills add sickn33/agentic-awesome-skills --skill async-python-patterns --agent claude-codeInstalls just this skill. Get the whole plugin for auto-invocation.
How it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/async-python-patterns
Context preview
The summary Claude sees to decide when to auto-load this skill.
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
Stats
Stars43,759
Forks6,465
LanguagePython
LicenseMIT
Ships with agentic-awesome-skills
SKILL.md
async-python-patterns.SKILL.md
--- name: async-python-patterns description: "Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems." risk: safe source: community date_added: "2026-02-27" --- # 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. ## Use this skill when - 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 ## Do not use this skill when - The workload is CPU-bound with minimal I/O. - A simple synchronous script is sufficient. - The runtime environment cannot support asyncio/event loop usage.
