performance-optimization
Use when optimizing code for performance, reducing bundle size, improving load times, or fixing performance bottlenecks. Emphasizes measurement-driven optimization.
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Use when optimizing code for performance, reducing bundle size, improving load times, or fixing performance bottlenecks. Emphasizes measurement-driven optimization.
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
Use when applying encapsulation and information hiding principles in object-oriented design. Use when controlling access to object state and behavior.
Use when pytest fixtures, conftest files, parametrize decorators, and fixture scopes for comprehensive test setup.
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。