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Found 135 Skills
Provides comprehensive code review capability for NestJS applications, analyzing controllers, services, modules, guards, interceptors, pipes, dependency injection, and database integration patterns. Use when reviewing NestJS code changes, before merging pull requests, after implementing new features, or for architecture validation. Triggers on "review NestJS code", "NestJS code review", "check my NestJS controller/service".
Best practices for implementing Clean Architecture in Remix/TypeScript apps. Covers Service Layer, Repository Pattern, and Dependency Injection.
Use when you need to review, improve, or build Spring Boot 4.0.x applications — including proper usage of @SpringBootApplication, component annotations (@Controller, @Service, @Repository), bean definition and scoping, configuration classes and @ConfigurationProperties (with @Validated), component scanning, conditional configuration and profiles, constructor injection, @Primary and @Qualifier for multiple beans of the same type, bean minimization, graceful shutdown, virtual threads, Jakarta EE namespace consistency, and scheduled tasks. Part of the skills-for-java project
NestJS reference skill: modules, controllers, providers, DTOs with class-validator, TypeORM/Prisma, guards, interceptors, pipes, queues (BullMQ), WebSockets, microservices, testing, OpenAPI, and CLI scaffolding. Use when the task touches NestJS application code and should follow the project's module-based architecture.
Flutter 프로젝트에서 get_it 기반 의존성 주입 설정 방법. `diSetup()` 함수 작성, DataSource/Repository/UseCase/ViewModel 등록 순서, 싱글톤 vs 팩토리 선택, Root 위젯에서 `getIt<T>()` 호출 패턴을 다룹니다. "DI 설정", "get_it", "registerSingleton", "registerFactory", "의존성 주입", "ViewModel 등록", "diSetup", "getIt 인스턴스" 같은 표현이 나오면 반드시 이 스킬을 사용하세요.
TestEZ, mocking Roblox services, dependency injection, CI/CD with Lune, test patterns.
Comprehensive Spring Boot development skill covering auto-configuration, dependency injection, REST APIs, Spring Data, security, and enterprise Java applications
Python backend implementation patterns for FastAPI applications with SQLAlchemy 2.0, Pydantic v2, and async patterns. Use during the implementation phase when creating or modifying FastAPI endpoints, Pydantic models, SQLAlchemy models, service layers, or repository classes. Covers async session management, dependency injection via Depends(), layered error handling, and Alembic migrations. Does NOT cover testing (use pytest-patterns), deployment (use deployment-pipeline), or FastAPI framework mechanics like middleware and WebSockets (use fastapi-patterns).
Guides the agent through scaffolding and building FastAPI applications, including project structure, API routes, request/response models, path and query parameters, dependency injection, middleware, error handling, and boilerplate generation. Triggered when the user asks to "scaffold a FastAPI project", "create a FastAPI app", "add an API endpoint", "create a router", "add middleware", "implement dependency injection", "handle errors", "set up CORS", "create background tasks", "implement WebSocket", "structure a FastAPI project", "generate boilerplate", or "add authentication".
Audit code for testability design patterns. Identifies business logic entangled with IO, hard-coded dependencies, and mocking friction. Suggests functional core / imperative shell separation. Read-only analysis. Triggers: review testability, testable code, mocking issues, dependency injection.
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.
代碼實作階段觸發。強制執行統一的編碼規範，支援 Java、TypeScript、Go 多語言。包含 Input/Output 模式、依賴注入、不可變物件等規範，確保代碼風格一致性。