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Test-driven development workflow with test generation, coverage analysis, and multi-framework support
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | tdd-guide |
| description | Test-driven development workflow with test generation, coverage analysis, and multi-framework support |
| source | SkillsMP技能市场 - TDD测试驱动开发指南 |
| author | aiGroup团队定制 |
| version | v1.0 |
| license | MIT |
| triggers | ["generate tests","analyze coverage","TDD workflow","red green refactor","Jest tests","Pytest tests","JUnit tests","coverage report"] |
Test-driven development skill for generating tests, analyzing coverage, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, and Vitest.
| Capability | Description |
|---|---|
| Test Generation | Convert requirements or code into test cases with proper structure |
| Coverage Analysis | Parse LCOV/JSON/XML reports, identify gaps, prioritize fixes |
| TDD Workflow | Guide red-green-refactor cycles with validation |
| Framework Adapters | Generate tests for Jest, Pytest, JUnit, Vitest, Mocha |
| Quality Scoring | Assess test isolation, assertions, naming, detect test smells |
| Fixture Generation | Create realistic test data, mocks, and factories |
test_generator.py with requirementsnpm test -- --coverage)coverage_analyzer.py on LCOV/JSON/XML reporttdd_workflow.py --phase red to validatetdd_workflow.py --phase green to validate| Tool | Purpose | Usage |
|---|---|---|
test_generator.py | Generate test cases from code/requirements | python scripts/test_generator.py --input source.py --framework pytest |
coverage_analyzer.py | Parse and analyze coverage reports | python scripts/coverage_analyzer.py --report lcov.info --threshold 80 |
tdd_workflow.py | Guide red-green-refactor cycles | python scripts/tdd_workflow.py --phase red --test test_auth.py |
framework_adapter.py | Convert tests between frameworks | python scripts/framework_adapter.py --from jest --to pytest |
fixture_generator.py | Generate test data and mocks | python scripts/fixture_generator.py --entity User --count 5 |
metrics_calculator.py | Calculate test quality metrics | python scripts/metrics_calculator.py --tests tests/ |
format_detector.py | Detect language and framework | python scripts/format_detector.py --file source.ts |
output_formatter.py | Format output for CLI/desktop/CI | python scripts/output_formatter.py --format markdown |
For Test Generation:
For Coverage Analysis:
For TDD Workflow:
| Scope | Details |
|---|---|
| Unit test focus | Integration and E2E tests require different patterns |
| Static analysis | Cannot execute tests or measure runtime behavior |
| Language support | Best for TypeScript, JavaScript, Python, Java |
| Report formats | LCOV, JSON, XML only; other formats need conversion |
| Generated tests | Provide scaffolding; require human review for complex logic |
When to use other tools:
派遣 build-error-resolver 修复构建/类型/依赖/配置错误，不建 session
中文版 Java / Spring Boot 工程规约与代码 Review 标准。覆盖 Jakarta Validation 参数校验、空安全工具类、常量与枚举、Lombok/POJO、异常与日志、安全、MySQL/ORM、并发、单元测试、工程分层与 Review 清单。当用中文进行 Java/Spring Boot 代码生成、改造或 Review 时加载。
Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA or MyBatis-Plus data access, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, MyBatis-Plus, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.
Use when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.
Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level. Covers the complete stack from database to UI, enforcing auth, input validation, output encoding, and parameterized queries across all layers. Use when implementing features across frontend and backend, building REST APIs with corresponding UI, connecting frontend components to backend endpoints, creating end-to-end data flows from database to UI, or implementing CRUD operations with UI forms. Distinct from frontend-only, backend-only, or API-only skills in that it simultaneously addresses all three perspectives—Frontend, Backend, and Security—within a single implementation workflow. Invoke for full-stack feature work, web app development, authenticated API routes with views, microservices, real-time features, monorepo architecture, or technology selection decisions.
Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.