standards-testing
Testing Standards: Prevent common testing anti-patterns that undermine test effectiveness and code quality by ensuring tests verify real behavior rather than mock behavior, keeping production code free from test-only pollution, and enforcing thoughtful mocking strategies. Use this skill when writing or modifying any test files (.test.ts, .test.js, .spec.ts, _test.py, test_*.py, *_test.go, *_spec.rb), when adding mock objects, stubs, spies, or test doubles to test suites, when considering adding methods or properties to production classes that are only called from test code, when setting up complex test fixtures or test data, when tests are failing and you're tempted to adjust mocks to make them pass, when deciding how to isolate code under test from external dependencies, when implementing dependency injection or test seams, during code reviews when reviewing test implementation and mocking strategies, when refactoring tests that have become brittle or hard to maintain, when test setup code is becoming longer than the actual test assertions, or when choosing between integration tests with real components versus unit tests with mocks.
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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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