Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
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Internationalization (i18n) and localization (l10n) testing for global products including translations, locale formats, RTL languages, and cultural appropriateness. Use when launching in new markets or building multi-language products.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
<default_to_action> When testing multi-language/region support:
Quick i18n Checklist:
Critical Success Factors:
| Term | Full Name | Focus |
|---|---|---|
| i18n | Internationalization | Building for localization |
| l10n | Localization | Adapting for specific locale |
| Type | US (en-US) | UK (en-GB) | Japan (ja-JP) |
|---|---|---|---|
| Date | 10/24/2025 | 24/10/2025 | 2025/10/24 |
| Currency | $1,234.56 | £1,234.56 | ¥1,235 |
| Number | 1,234.56 | 1,234.56 | 1,234.56 |
test('all strings are translated', () => {
const enKeys = Object.keys(translations.en);
const frKeys = Object.keys(translations.fr);
const esKeys = Object.keys(translations.es);
// All locales have same keys
expect(frKeys).toEqual(enKeys);
expect(esKeys).toEqual(enKeys);
});
test('no missing translation placeholders', async ({ page }) => {
await page.goto('/?lang=fr');
const text = await page.textContent('body');
// Should not see placeholder keys
expect(text).not.toContain('translation.missing');
expect(text).not.toMatch(/\{\{.*\}\}/); // {{key}} format
});
test('date formats by locale', () => {
const date = new Date('2025-10-24');
expect(formatDate(date, 'en-US')).toBe('10/24/2025');
expect(formatDate(date, 'en-GB')).toBe('24/10/2025');
expect(formatDate(date, 'ja-JP')).toBe('2025/10/24');
});
test('currency formats by locale', () => {
const amount = 1234.56;
expect(formatCurrency(amount, 'en-US', 'USD')).toBe('$1,234.56');
expect(formatCurrency(amount, 'de-DE', 'EUR')).toBe('1.234,56 €');
expect(formatCurrency(amount, 'ja-JP', 'JPY')).toBe('¥1,235');
});
test('layout flips for RTL languages', async ({ page }) => {
await page.goto('/?lang=ar'); // Arabic
const dir = await page.locator('html').getAttribute('dir');
expect(dir).toBe('rtl');
// Navigation should be on right
const nav = await page.locator('nav');
const styles = await nav.evaluate(el =>
window.getComputedStyle(el)
);
expect(styles.direction).toBe('rtl');
});
test('icons/images appropriate for RTL', async ({ page }) => {
await page.goto('/?lang=he'); // Hebrew
// Back arrow should point right in RTL
const backIcon = await page.locator('.back-icon');
expect(await backIcon.getAttribute('class')).toContain('rtl-flipped');
});
test('supports unicode characters', async ({ page }) => {
// Japanese
await page.fill('#name', '山田太郎');
await page.click('#submit');
const saved = await db.users.findOne({ /* ... */ });
expect(saved.name).toBe('山田太郎');
// Arabic
await page.fill('#name', 'محمد');
// Emoji
await page.fill('#bio', '👋🌍');
expect(saved.bio).toBe('👋🌍');
});
// Comprehensive localization validation
await Task("Localization Testing", {
url: 'https://example.com',
locales: ['en-US', 'fr-FR', 'de-DE', 'ja-JP', 'ar-SA'],
checks: ['translations', 'formats', 'rtl', 'unicode'],
detectHardcodedStrings: true
}, "qe-test-generator");
// Returns:
// {
// locales: 5,
// missingTranslations: 3,
// formatIssues: 1,
// rtlIssues: 0,
// hardcodedStrings: ['button.submit', 'header.title']
// }
aqe/localization-testing/
├── translations/* - Translation coverage
├── formats/* - Locale-specific formats
├── rtl-validation/* - RTL layout checks
└── unicode/* - Character encoding tests
const l10nFleet = await FleetManager.coordinate({
strategy: 'localization-testing',
agents: [
'qe-test-generator', // Generate l10n tests
'qe-test-executor', // Execute across locales
'qe-visual-tester' // RTL visual validation
],
topology: 'parallel'
});
Don't hardcode. Externalize all user-facing strings. Every string visible to users must come from translation files, not code.
Test with native speakers, not just translation files. Machine translations and translation files can have context issues that only native speakers catch.
With Agents: Agents validate translation coverage, detect hardcoded strings, test locale-specific formatting, and verify RTL layouts automatically across all supported languages.
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Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
中文简介正在准备中。当前显示原文说明。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
中文简介正在准备中。当前显示原文说明。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
中文简介正在准备中。当前显示原文说明。
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
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Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
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