Tests Standards: Write focused tests for core user flows and critical paths with clear test names, behavior-focused assertions, mocked external dependencies, and fast execution, deferring edge case testing until explicitly required. Use this skill when creating or modifying test files, writing unit tests, integration tests, or test cases for any feature. Apply when writing test files (test/, __tests__/, spec/, .test.js, .spec.ts, test_*.py), implementing tests for core user workflows, testing critical business logic, mocking external dependencies (databases, APIs, file systems), writing descriptive test names, creating fast-running unit tests, or adding tests at logical completion points of feature development. Use for any task involving test creation, test coverage, test strategy, or test-driven development.
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API Standards: 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, controllers, or API configuration files. Apply when working on REST API design, endpoint implementations, API versioning, request/response handling, HTTP method routing (GET, POST, PUT, PATCH, DELETE), query parameter filtering, API rate limiting, or any file that defines API routes such as routes.py, api.js, controllers/, endpoints/, or API documentation files.
Models Standards: 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, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.
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