This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Testing for React/Next.js with Jest, React Testing Library, and Playwright. Use when generating tests, writing unit tests, analyzing coverage, scaffolding E2E tests, configuring Jest, or improving test quality.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Test automation, coverage analysis, and quality assurance patterns for React and Next.js applications. Generates Jest + React Testing Library unit test stubs, analyzes Istanbul/LCOV coverage for gaps, and scaffolds Playwright E2E suites for App Router and Pages Router projects.
jest-axe a11y).Before generating tests, confirm these inputs. If any is unknown or vague, ASK — do not assume:
test_suite_generator vs e2e_test_scaffolder)jest-axe) (sets which test stubs are emitted)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
test_suite_generator.py | Generate Jest + RTL test stubs from React components | python scripts/test_suite_generator.py src/components/ --output __tests__/ |
coverage_analyzer.py | Analyze Istanbul/LCOV coverage and report gaps | python scripts/coverage_analyzer.py coverage/coverage-final.json --threshold 80 |
e2e_test_scaffolder.py | Scaffold Playwright E2E tests from Next.js routes | python scripts/e2e_test_scaffolder.py src/app/ --output e2e/ |
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers:
jest-axe integration.This skill does NOT cover:
senior-backend for Express/Node.js testing patterns).senior-devops for infrastructure and performance tooling).| Skill | Integration | Data Flow |
|---|---|---|
senior-frontend | Generated test stubs align with component patterns from the frontend skill | Frontend components --> test_suite_generator.py --> test files |
senior-fullstack | Code quality analyzer consumes the same coverage reports produced here | coverage_analyzer.py output --> fullstack quality dashboard |
senior-devops | E2E test scaffolder generates CI-ready Playwright configs that plug into DevOps pipelines | e2e_test_scaffolder.py --> playwright.config.ts --> GitHub Actions workflow |
code-reviewer | Coverage gaps feed directly into code review checklists for untested changes | coverage_analyzer.py gaps --> review checklist items |
tdd-guide | TDD workflow references this skill's test generator for initial red-phase stub creation | TDD cycle --> test_suite_generator.py --scan-only --> write tests --> implement |
qa-browser-automation | Page Object Models generated here are consumed by the browser automation skill for advanced E2E scenarios | e2e_test_scaffolder.py --include-pom --> POM classes --> browser automation flows |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。