Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check".
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。
Systematically review Playwright test files for anti-patterns, missed best practices, and coverage gaps.
$ARGUMENTS can be:
testDirplaywright.config.ts for project settings*.spec.ts / *.spec.js files in scopeLoad anti-patterns.md from this skill directory. Check for all 20 anti-patterns.
Critical (must fix):
waitForTimeout() usageexpect(await ...))baseURLawait on Playwright callsWarning (should fix):
8. Tests longer than 50 lines (consider splitting)
9. Magic strings without named constants
10. Missing error/edge case tests
11. page.evaluate() for things locators can do
12. Nested test.describe() more than 2 levels deep
13. Generic test names ("should work", "test 1")
Info (consider):
14. No page objects for pages with 5+ locators
15. Inline test data instead of factory/fixture
16. Missing accessibility assertions
17. No visual regression tests for UI-heavy pages
18. Console error assertions not checked
19. Network idle waits instead of specific assertions
20. Missing test.describe() grouping
Rate 1-10 based on:
For each file:
## <filename> — Score: X/10
### Critical
- Line 15: `waitForTimeout(2000)` → use `expect(locator).toBeVisible()`
- Line 28: CSS selector `.btn-submit` → `getByRole('button', { name: "submit" })`
### Warning
- Line 42: Test name "test login" → "should redirect to dashboard after login"
### Suggestions
- Consider adding error case: what happens with invalid credentials?
If reviewing an entire test suite:
/batch for very large suitesFor each critical issue, provide the corrected code. Ask user: "Apply these fixes? [Yes/No]"
If yes, apply all fixes using Edit tool.
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
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
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。
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
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。
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
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。
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
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) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
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。
Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.
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。