Unit Testing
5220 skills in Testing & Security > Unit Testing
debugging-and-troubleshooting
Systematic error diagnosis and debugging workflow for Node.js/TypeScript code. Use when code isn't working, tests fail, or runtime errors occur.
nichecompass-docs-local
NicheCompass 本地文档(en/latest)
test-automation
Generate comprehensive Jest tests for React Native components, hooks, and services. Use when writing tests, improving coverage, or test-driven development.
test-coverage-boost
Increase test coverage from 0% to 80%+ in ANY project, ANY testing framework
openrouter-config-validator
Configuration validation and testing utilities for OpenRouter API. Use when validating API keys, testing model availability, checking routing configuration, troubleshooting connection issues, analyzing usage costs, or when user mentions OpenRouter validation, config testing, API troubleshooting, model availability, or cost analysis.
learning-multilingual-assessment
Design assessments that work across languages, avoid language-dependent cultural bias, support multilingual learners, and validate assessment equivalence across translations. Use when creating fair assessments for multilingual contexts. Activates on "multilingual assessment", "language-fair testing", or "assessment translation".
agentv-eval-builder
Create and maintain AgentV YAML evaluation files for testing AI agent performance. Use this skill when creating new eval files, adding eval cases, or configuring custom evaluators (code validators or LLM judges) for agent testing workflows.
validation-policy
数値の入出力バリデーション方針。関数の引数・戻り値の妥当性チェック規約を定義。test-writer, implement, reviewerの各観点で参照。
meta-title-optimizer
Generate and optimize meta titles and descriptions for therapy pages following NextStep's formula (Service + Location | Differentiator | NextStep Therapy). Creates 5 CTR-optimized variations under 60 chars, tests against SERP simulator, scores each for click-through potential. Use when user mentions "meta title", "meta description", "optimize for CTR", "improve SERP appearance", or provides page URL for SEO optimization.
feature-walkthrough
Generate polished walkthrough videos from Playwright test suites. Runs thematically connected tests with video recording, creates title cards, slows footage for readability, and concatenates into a final demo video.
test-gen-agent
Generates comprehensive tests with balanced quality and speed
beginner-testing
Introduce test-driven development to beginners with simple Flask/Sinatra test examples and TDD concepts
test-design-patterns
Apply testing patterns like AAA (Arrange-Act-Assert), mocking, fixtures, and parameterization for maintainable test suites
docker-backend
Dockerizes backend projects with auto-detection, latest base images via web search, Dockerfile generation, and Makefile with port override support.
msw
Mocks APIs with Mock Service Worker including request handlers, server/browser setup, and testing integration. Use when mocking APIs in tests, developing without backend, or simulating network conditions.
red-phase
Write failing tests before implementation (RED phase of TDD). Creates test file with test functions that fail because code doesn't exist yet. Use when starting TDD workflow or adding tests for new functionality.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions
property-testing-guide
Introduces property-based testing with proptest, helping users find edge cases automatically by testing invariants and properties. Activates when users test algorithms or data structures.
ff-statistical-methods
Expert guidance on statistical analysis methodologies and Monte Carlo simulation for fantasy football. Use this skill when selecting regression approaches, designing simulations, performing variance analysis, or conducting hypothesis tests. Covers regression types (OLS, Ridge, Lasso, GAMs), Monte Carlo frameworks, regression-to-mean analysis, and statistical best practices for player performance modeling.
pal-thinkdeep
Multi-stage deep investigation and reasoning for complex problems using PAL MCP. Use for architecture decisions, complex analysis, performance challenges, or when you need thorough reasoning. Triggers on complex problems requiring deep thought, hypothesis testing, or expert analysis.