python-async-patterns
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
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Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.
Use when creating and using reusable Terraform modules for organizing and sharing infrastructure code.
Use when writing and organizing Terraform infrastructure-as-code configurations for cloud resource provisioning.
Use when typeScript async patterns including Promises, async/await, and async iterators with proper typing. Use when writing asynchronous TypeScript code.
Use when pytest plugin ecosystem including pytest-cov, pytest-mock, and custom plugin development.
Use when responding to questions or providing information requiring professional honesty and directness over excessive agreeableness.
Use when writing shell scripts that need to run across different systems, shells, or environments. Covers POSIX compatibility and platform differences.
Use when writing or modifying Bash/shell scripts. Covers script structure, variables, quoting, conditionals, and loops with modern best practices.
Use when implementing error handling, cleanup routines, or debugging in shell scripts. Covers traps, exit codes, and robust error patterns.
Use when modifying existing files, refactoring, improving code quality, or touching legacy code by applying the Boy Scout Rule to leave code better than you found it.
Use when deciding between inheritance and composition in object-oriented design. Use when creating class hierarchies or composing objects from smaller components.
Master FastAPI dependency injection for building modular, testable APIs. Use when creating reusable dependencies and services.
Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, sche...
Use when managing Terraform state files, remote backends, and state locking for infrastructure coordination.
Use when designing solutions, adding features, or refactoring by applying KISS, YAGNI, and Principle of Least Astonishment to write simple, predictable code.
Use when Python's type system including type hints, mypy, Protocol, TypedDict, and Generics. Use when working with Python type annotations.
Use when advanced Pytest features including markers, custom assertions, hooks, and coverage configuration.
Use during implementation when designing modules, functions, and components requiring SOLID principles for maintainable, flexible architecture.
Use when implementing polymorphism and interfaces in object-oriented design. Use when creating flexible, extensible systems with interchangeable components.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
MANDATORY. Maintain context and project state across context window compactions. ALWAYS activate this skill when starting any task, managing project progress, or coordinating between multiple agents. Essential...
Design and implement RESTful API endpoints following REST principles with proper HTTP methods, status codes, and resource-based URLs. Use this skill when creating or modifying API endpoints, route handlers, con...
Use when creating implementation plans for features or tasks. Focuses on tactical execution planning with clear tasks, dependencies, and success criteria.
Use when restructuring code to improve quality without changing external behavior. Emphasizes safety through tests and incremental changes.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.