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43 lines
1.7 KiB
Markdown
43 lines
1.7 KiB
Markdown
---
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name: async-python-patterns
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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-..."
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risk: unknown
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source: community
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date_added: "2026-02-27"
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---
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# Async Python Patterns
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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
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## Use this skill when
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- Building async web APIs (FastAPI, aiohttp, Sanic)
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- Implementing concurrent I/O operations (database, file, network)
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- Creating web scrapers with concurrent requests
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- Developing real-time applications (WebSocket servers, chat systems)
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- Processing multiple independent tasks simultaneously
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- Building microservices with async communication
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- Optimizing I/O-bound workloads
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- Implementing async background tasks and queues
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## Do not use this skill when
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- The workload is CPU-bound with minimal I/O.
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- A simple synchronous script is sufficient.
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- The runtime environment cannot support asyncio/event loop usage.
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## Instructions
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- Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints.
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- Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules.
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- Add timeouts, backpressure, and structured error handling.
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- Include testing and debugging guidance for async code paths.
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- If detailed examples are required, open `resources/implementation-playbook.md`.
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Refer to `resources/implementation-playbook.md` for detailed patterns and examples.
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## Resources
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- `resources/implementation-playbook.md` for detailed patterns and examples.
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