單元測試

Use this skill for spec-driven git workflow with GitHub issues. Provides 10 workflow commands including brownfield project migration, sprint management, AI quality reviews, issue tracking, and PR workflows. Triggers include migrating existing projects, creating sprint issues, reviewing sprint quality, starting work on issues, testing implementations, submitting PRs, handling review feedback, closing completed work, checking sprint progress, or creating/updating specs. Use when the user mentions migration, sprints, reviews, issues, PRs, specs, or wants to track development workflow.

Generate tests following project conventions. Use when writing unit tests, integration tests, creating test fixtures, or implementing test builders. Triggers on requests like "write tests for", "add test coverage", "create test builder", "test this handler", or "implement tests".

Expert DevOps automation consultant for building production-grade CI/CD deployment pipelines using Vercel, GitHub Actions, and Railway. Implements build/test/preview/production workflows, automated rollbacks, canary deployments, blue-green strategies, environment promotion, secrets management, health checks, smoke testing, and live monitoring. Use when deploying web applications, setting up CI/CD pipelines, configuring automated deployments, implementing deployment strategies, managing production releases, or troubleshooting deployment issues.

Automated E2E test infrastructure setup with Playwright, Vitest, MSW, and GitHub Actions. Use when user mentions add E2E tests, setup testing, or invokes /generate-e2e-tests.

Set-theoretic operations for finding unique elements, membership testing, and array intersections. Triggers: unique, isin, intersect1d, setdiff1d, union1d.

Generate unit tests, integration tests, and test cases for code. Use when you see TEST comments, when asked to add test coverage, or when writing tests for new functionality.

Post-training model validation workflow: gating, backtesting, walk-forward validation, deployment decisions. Trigger after GPU training completes.

Auto-load when writing tests. Provides TDD workflow, test structure patterns, and common testing idioms.

MCP (Model Context Protocol) server evaluation guide for creating comprehensive test suites with read-only, independent questions. Use when building MCP servers, creating evaluation frameworks, or testing LLM tool usage patterns.

Run and evaluate the Skillset smoke test (aliases, sets, and skill invocation) and interpret its JSON reports. Use this when validating $skill/$set behavior or checking Claude Code/Codex headless runs.

Orchestrates test execution for the Nomos monorepo following TESTING_GUIDE.md standards. Use this when running tests, debugging test failures, validating coverage, or executing verification checklists from AGENTS.md files.

Generate pytest tests for Python modules with parametrization, shared fixtures in conftest.py, and minimal mocking. Use when creating unit tests, test suites, or improving test coverage. Follows 1-1 file correspondence and real object testing principles.

Test and validate DyGram machines using CLI interactive mode. Step through execution, provide intelligent responses, debug behavior, and create test recordings.

Defines project-wide code conventions for magic number elimination, constant usage, performance optimization, and coordinate system separation. Use when implementing, testing, or reviewing code to ensure consistency across the codebase.

World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Google. Supports both core and advanced modes with testing scenarios and prompt variations.

Test-driven development guidance for Tetris game logic. Use when writing tests, fixing test failures, improving test coverage, or implementing game mechanics. Auto-triggers on phrases like "write a test", "test this function", "improve coverage", "fix failing tests", or "add game logic". Emphasizes Result<T,E> pattern and property-based testing with fast-check.

Query and analyze logs using Loki and LogQL. Provides patterns for correlation ID tracing, error investigation, and service debugging using HuleEdu's structured logging. Integrates with Context7 for latest Loki documentation.

Safe database migration procedures with backward compatibility, backups, and rollback strategies. Use when creating, modifying, or dropping database schemas. Covers migration creation, testing, execution, and rollback.

Claude Code 작업 결과를 6개 영역(분석, 계획, 구현, 리뷰, 검증, 테스트)에서 평가하고 구체적인 피드백을 생성합니다. 결과 수집, 영역별 점수화, P0/P1/P2 우선순위 피드백, 자기비판, 성찰, 재평가 사이클을 통해 품질을 개선합니다. Use when evaluating code results, generating feedback, reviewing implementation quality, assessing test coverage.

API testing, documentation, and development tools