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.
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。
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.
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。
実行スコア 未検証
インストール方法を見る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。
<default_to_action> When testing accessibility or ensuring compliance:
Quick A11y Checklist:
Critical Success Factors:
| Level | Requirement | Target |
|---|---|---|
| A | Basic accessibility | Minimum legal |
| AA | Standard (most orgs) | Industry standard |
| AAA | Enhanced | Specialized sites |
| Principle | Meaning | Key Tests |
|---|---|---|
| Perceivable | Can perceive content | Alt text, contrast, captions |
| Operable | Can operate UI | Keyboard, no seizures, navigation |
| Understandable | Can understand | Clear labels, predictable, errors |
| Robust | Works with assistive tech | Valid HTML, ARIA |
| Content | AA Ratio | AAA Ratio |
|---|---|---|
| Normal text | 4.5:1 | 7:1 |
| Large text (18pt+) | 3:1 | 4.5:1 |
| UI components | 3:1 | - |
// Test all interactive elements reachable via keyboard
test('all interactive elements keyboard accessible', async ({ page }) => {
await page.goto('/');
const focusableElements = await page.$$('button, a, input, select, textarea, [tabindex]');
for (const element of focusableElements) {
await element.focus();
const isFocused = await element.evaluate(el => document.activeElement === el);
expect(isFocused).toBe(true);
}
});
// Verify visible focus indicator
test('focus indicator visible', async ({ page }) => {
await page.goto('/');
await page.keyboard.press('Tab');
const focusedElement = await page.locator(':focus');
const outline = await focusedElement.evaluate(el =>
getComputedStyle(el).outline
);
expect(outline).not.toBe('none');
});
import { test, expect } from '@playwright/test';
import AxeBuilder from '@axe-core/playwright';
test('page has no accessibility violations', async ({ page }) => {
await page.goto('/');
const results = await new AxeBuilder({ page })
.withTags(['wcag2a', 'wcag2aa', 'wcag22aa'])
.analyze();
expect(results.violations).toEqual([]);
});
// CI/CD integration
test('checkout flow accessible', async ({ page }) => {
await page.goto('/checkout');
const results = await new AxeBuilder({ page })
.include('#checkout-form')
.disableRules(['color-contrast']) // Fix in next sprint
.analyze();
expect(results.violations.filter(v =>
v.impact === 'critical' || v.impact === 'serious'
)).toHaveLength(0);
});
## VoiceOver (macOS) Testing
- [ ] Page title announced on load
- [ ] Headings hierarchy correct (h1 → h2 → h3)
- [ ] Landmarks present (nav, main, footer)
- [ ] Images have descriptive alt text
- [ ] Form labels read correctly
- [ ] Error messages announced
- [ ] Dynamic content updates announced (aria-live)
// Comprehensive a11y validation
await Task("Accessibility Validation", {
url: 'https://example.com/checkout',
standard: 'WCAG2.2',
level: 'AA',
checks: ['keyboard', 'screen-reader', 'color-contrast'],
includeScreenReaderSimulation: true
}, "qe-visual-tester");
// Fleet coordination for comprehensive testing
const a11yFleet = await FleetManager.coordinate({
strategy: 'comprehensive-accessibility',
agents: [
'qe-visual-tester', // Visual & keyboard checks
'qe-test-generator', // Generate a11y tests
'qe-quality-gate' // Enforce compliance
],
topology: 'parallel'
});
aqe/accessibility/
├── wcag-results/* - WCAG audit results
├── screen-reader/* - Screen reader test logs
├── remediation/* - Fix recommendations
└── compliance/* - Compliance reports
const a11yFleet = await FleetManager.coordinate({
strategy: 'accessibility-testing',
agents: [
'qe-visual-tester', // axe-core, keyboard, focus
'qe-test-generator', // Generate a11y test cases
'qe-quality-gate' // Block non-compliant builds
],
topology: 'parallel'
});
1 billion people have disabilities. Inaccessible software excludes 15% of humanity. Legal requirements: ADA, Section 508, EU Directive 2016/2102. $13T purchasing power. 250%+ increase in lawsuits.
Automated testing catches only 30-50% of issues. Combine with manual keyboard testing, screen reader testing, and real user testing with people with disabilities.
With Agents: Agents automate WCAG 2.2 compliance checking, screen reader simulation, and focus management validation. Use agents to enforce accessibility standards in CI/CD and catch violations before production.
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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.
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。
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.
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。
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.
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。
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.
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。
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.
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。
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.
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。