單元測試

Advanced code search tool that finds definitions, usages, tests, and references across the entire codebase. Use when you need to understand how a symbol is used throughout the project.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Four-phase framework ensuring understanding before attempting solutions.

Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas before presenting them. Deliver concrete, tested recommendations with evidence.

MERN stack patterns including React with Vite, Express middleware, MongoDB schemas, API Gateway architecture, session management, error handling, and testing strategies. Activate for MERN development, microservices architecture, and full-stack JavaScript applications.

Use this skill every user want to create test file.

Story-level quality orchestrator. Pass 1: code quality -> regression -> manual testing (fail fast). Pass 2: verify tests/coverage -> mark Story Done. Auto-discovers team/config.

Generate realistic database seed data and test fixtures for development, testing, and demonstrations. Creates realistic users, products, orders, and custom schemas using Faker libraries while maintaining relational integrity and data consistency. Use when populating databases, creating test fixtures, seeding development environments, or generating demo data.

Comprehensive test coverage analysis and improvement for Ruby and Rails applications using SimpleCov and SimpleCov Console formatter. Automatically runs coverage reports, identifies gaps, suggests tests, and enforces coverage standards. Integrates with RubyCritic for holistic code quality. Use when running tests, analyzing coverage, improving test suites, or setting up coverage tracking in Ruby/Rails projects.

Vitest + Storybook testing strategy with clear role separation.Reference for implementing unit tests and UI interaction tests.

Docker ignore configuration template and validation logic for optimizing Docker build contexts. Includes 4 required standards (build artifacts, development files, CI/CD and testing, logs and temporary files). Use when creating or auditing .dockerignore files to reduce build context size, improve performance, and ensure security.

Production Fastify (TypeScript) patterns: schema validation, plugins, typed routes, error handling, security hardening, logging, testing with inject, and graceful shutdown

Java stack configuration - Maven, JUnit 5, Spotless, SpotBugs, JaCoCo with 96% coverage threshold

Use when creating reusable process documentation. Apply TDD: baseline without skill → document failures → write skill → test → iterate. Four types: Discipline, Technique, Pattern, Reference. Iron Law: No skill without failing test first.

Refactor complex Android/KMP state management code to use FlowRedux state machine pattern. Use this when developers need to transform tangled state logic, multiple LiveData/StateFlow sources, or callback-heavy code into a clean, testable state machine architecture.

Production validation specialist ensuring applications are fully implemented and deployment-ready. Use to verify no mock/stub/fake implementations remain, validate against real databases and APIs, perform end-to-end testing with actual systems, and confirm production readiness.

Generate requirements-based test cases from Gherkin user stories using BDD methodology. Use this skill when the user asks to create test cases, generate test cases from user stories, analyze requirements for testing, convert user stories to test cases, or work with files in docs/user-stories/. This skill performs comprehensive requirement analysis and outputs Azure DevOps-compatible CSV test case files with proper formatting for import.

Mutation testing with mutmut, Stryker, PIT

Use PROACTIVELY when checking if tests catch real bugs, assessing test suite quality, finding weak tests, or measuring mutation score. Validates test effectiveness beyond coverage metrics by introducing code mutations. Supports Stryker (JS/TS), PIT (Java), mutmut (Python). Not for projects without existing test suites.

Configures Bun as an all-in-one JavaScript runtime, bundler, package manager, and test runner with native TypeScript support. Use when building fast applications, bundling for production, or replacing Node.js tooling.

Creates assessments with varied question types (MCQ, code-completion, debugging, projects) alignedto learning objectives with meaningful distractors based on common misconceptions. Activate wheneducators design quizzes, exams, or tests measuring understanding; need questions at appropriatecognitive levels (Bloom's taxonomy); want balanced cognitive distribution (60%+ non-recall); orrequire rubrics for open-ended questions. Generates MCQs with diagnostic distractors, code-writingprompts, debugging challenges, and project-based assessments targeting deep understanding.