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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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Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a C
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Ler descrição completa Recolher descrição 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.Limitations
Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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