multiAI Summary Pending
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.
28,273 stars
bysickn33
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/async-python-patterns/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/async-python-patterns/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/async-python-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How async-python-patterns Compares
| Feature / Agent | async-python-patterns | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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. ## Instructions - Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints. - Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules. - Add timeouts, backpressure, and structured error handling. - Include testing and debugging guidance for async code paths. - If detailed examples are required, open `resources/implementation-playbook.md`. Refer to `resources/implementation-playbook.md` for detailed patterns and examples. ## Resources - `resources/implementation-playbook.md` for detailed patterns and examples.