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skills/async-python-patterns/SKILL.md

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+---
+name: async-python-patterns
+description: 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.
+---
+
+# 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.