單元測試

Record quality metrics baseline before refactoring or major changes, capturing audit scores, test coverage, and complexity for comparison

Form request validation and comprehensive validation testing. Use when working with validation rules, form requests, validation testing, or when user mentions validation, form requests, validation rules, conditional validation, validation testing.

Execute comprehensive test suite (Vitest/Jest) with coverage reporting and failure analysis. Returns structured output with test counts (total/passed/failed), coverage percentage, duration, and detailed failure information. Used for quality gates and CI/CD validation.

Language-agnostic database best practices covering migrations, schema design, ORM patterns, query optimization, and testing strategies. Activate when working with database files, migrations, schema changes, SQL, ORM code, database tests, or when user mentions migrations, schema design, SQL optimization, NoSQL, database patterns, or connection pooling.

Apply Clean Architecture and Hexagonal (Ports & Adapters) patterns for domain isolation and testability. Use when designing system boundaries, creating ports/adapters, or structuring domain-driven applications.

Testing patterns for behavior-driven tests. Use when writing tests or test factories.

Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support

VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.

Your approach to handling testing vitest. Use this skill when working on files where testing vitest comes into play.

DOM Testing Library patterns for behavior-driven UI testing. Framework-agnostic patterns for testing user interfaces. Use when testing any front-end application.

Refactoring assessment and patterns. Use after tests pass (GREEN phase) to assess improvement opportunities.

TypeScript language rules with strict mode, testing, linting, and CI/CD best practices

Best practices for building CLI applications across languages. Covers CLI design principles (Unix philosophy, command structure, subcommands vs flags), argument parsing (required/optional args, flags, environment variables, config files, precedence), user interface (help text, version info, progress indicators, color output, interactive prompts), output formatting (human-readable vs machine-readable JSON/YAML, exit codes), error handling (clear messages, suggestions, debug mode), cross-platform considerations (paths, line endings, terminal capabilities), testing strategies (integration tests, output verification, exit codes), documentation (README, man pages, built-in help), and language-specific libraries. Activate when working with CLI applications, command-line tools, argument parsing, CLI utilities, argument handling, commands, subcommands, CLI frameworks, or building command-line interfaces.

Design code for testability and AI/LLM ergonomics with explicit contracts and observable patterns. Use when optimizing code for AI tools, improving testability, or making codebases LLM-friendly.

Guide for adding new AI platform support (e.g., Gemini, Mistral, Anthropic) to the Chrome extension with strategy pattern and testing requirements

Complete quality validation workflow combining TypeScript checking, linting, tests, coverage, and build validation. Works with any TypeScript/JavaScript project. Returns structured pass/fail with detailed results for each check. Used in conductor workflows and quality assurance phases.

Discovers and researches authoritative documentation with version-specific, context-aware search. Auto-activates when user asks "find documentation", "API docs", "how to use", "integration guide", "best practices", "design pattern", or when running /ccpm:plan or /ccpm:plan. Fetches latest docs from official sources via Context7 MCP. Uses progressive discovery (overview → API reference → integration → best practices). Prioritizes: Official docs → Framework guides → API references → Community resources. Provides version-specific recommendations and code examples from documentation. Flags important caveats and performance considerations. Surfaces migration guides when upgrading frameworks.

Automated quality checks and enforcement for code commits. Use when validating code quality, running pre-commit checks, ensuring test coverage, or enforcing coding standards before commits and pushes.

Expert in test suite analysis, coverage assessment, and test quality evaluation

Use when setting up CI/CD pipelines, experiencing deployment failures, slow feedback loops, or production incidents after deployment - provides deployment strategies, test gates, rollback mechanisms, and environment promotion patterns to prevent downtime and enable safe continuous delivery