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-...
Best use case
async-python-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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-...
Teams using async-python-patterns should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
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 | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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-...
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.
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