WCAG Compliance

SkillDev tools

Use this skill when verifying WCAG 2.1/3.0 compliance, mapping accessibility violations to specific criteria, or providing remediation guidance with code examples

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the WCAG Compliance skill

What this skill tells your AI

The instructions your AI receives, as published by tan-yong-sheng/ai-vision-mcp in plugins/design-eval/skills/wcag-compliance/SKILL.md and read by ahel’s review.

Deep accessibility compliance guidance for WCAG 2.1 (compliance-focused) and WCAG 3.0 (outcome-focused) standards.

When to Use

Use this skill when:

  • Auditing for WCAG 2.1 or WCAG 3.0 compliance
  • Mapping findings to specific WCAG criteria
  • Providing remediation guidance with code examples
  • Testing accessibility fixes
  • Explaining user impact and accommodation needs

Reference Materials

This skill includes comprehensive reference documentation:

  • wcag-2.2-complete-criteria.md — All 78 WCAG 2.2 success criteria organized by level (A, AA, AAA) with common issues and remediation guidance
  • wcag-3.0-outcomes-framework.md — Outcome-focused accessibility framework, paradigm shift from WCAG 2.1, audit workflow, and remediation patterns
  • aria-patterns-reference.md — 13 essential ARIA patterns with code examples, keyboard support, and screen reader behavior
  • A11Y-PATTERNS.md — Copy-paste-ready accessibility code patterns (modal focus trap, skip link, error handling, form labels, dragging movements, tabs, live regions, screen reader commands)

WCAG 2.1 vs WCAG 3.0: Paradigm Shift

WCAG 2.1 (Compliance-Focused): Binary pass/fail against specific technical criteria. Levels: A (minimum), AA (standard), AAA (enhanced).

WCAG 3.0 (Outcome-Focused): Outcome-centered goals focusing on user ability. Four dimensions: Perceivable, Operable, Understandable, Robust.

Seewcag-3.0-outcomes-framework.md for detailed comparison, paradigm differences, and outcome-focused audit workflow.


Quick Start: 3-Phase Accessibility Workflow

Phase 1: Scan & Analyze

  1. Run automated tools (axe, WAVE, Lighthouse, Pa11y)
  2. Conduct keyboard navigation and screen reader testing
  3. Map findings to WCAG criteria
  4. Prioritize: Critical (blocks) > High > Medium > Low

Phase 2: Remediate

For each finding:

  1. Map to WCAG criterion (e.g., "1.4.3 Contrast Level AA")
  2. Provide code fix with before/after
  3. Explain user impact (which disabilities affected)
  4. Suggest testing steps

Phase 3: Verify

  1. Test keyboard navigation (Tab, Shift+Tab, Enter, Space)
  2. Test with screen readers (NVDA, JAWS, VoiceOver)
  3. Verify contrast ratios (4.5:1 normal, 3:1 large, 3:1 UI elements)
  4. Test at 200% zoom
  5. Validate semantic HTML and ARIA patterns

Seewcag-2.2-complete-criteria.md for all 78 WCAG 2.2 criteria with common issues and severity mapping.


Code Patterns & ARIA

For accessible code implementations, refer to:

  • aria-patterns-reference.md — 13 patterns: buttons, forms, tabs, modals, menus, live regions with full code and keyboard support
  • A11Y-PATTERNS.md — Copy-paste patterns: modal focus trap, skip links, error handling, form labels, ARIA tabs

Testing Tools & Assistive Technologies

Automated Testing

  • axe DevTools (browser extension, good for CI)
  • WAVE (visual feedback on page)
  • Lighthouse (Chrome DevTools)
  • Pa11y (CLI, scriptable)

Manual Testing & Screen Readers

  • Keyboard: Tab, Shift+Tab, Enter, Space, Arrow keys
  • NVDA (Windows): Insert+Down (read), Tab (navigate), Insert+H (help)
  • JAWS (Windows): Insert+Down (read), Insert+Z (browse/forms mode)
  • VoiceOver (Mac): Cmd+F5 (start), VO+Right/Left (navigate)
  • Voice Control: "Click [element]", "Press [button]", "Show numbers"
  • Contrast: WebAIM Contrast Checker, Color Oracle (color blindness)

Best Practices

Prioritization Matrix

  • Critical: Blocks task completion (form won't submit, can't navigate)
  • High: Significantly impacts UX (button not keyboard accessible, no focus indicator)
  • Medium: Noticeable but workaround exists (low contrast on secondary text, missing alt on decorative image)
  • Low: Polish/refinement (improved ARIA labeling, consistency improvements)

WCAG Levels

  • Level A: Minimum (rarely sufficient for public products)
  • Level AA: Industry standard (target for most products) — 4.5:1 contrast, keyboard accessible, semantic HTML
  • Level AAA: Enhanced (specialized/high-stakes) — 7:1 contrast, extensive testing with AT and real users

Common Pitfalls

  • Relying only on automated tools (~30% of issues missed)
  • Fixing only critical issues (medium issues compound)
  • Testing with one screen reader only (behavior varies)
  • Forgetting keyboard-only users (not all AT uses screen readers)
  • Assuming contrast is sufficient (also need semantic meaning)
  • Not testing with real users with disabilities

Assessment Framework

For WCAG 3.0 outcome-focused approach:

  1. User Outcome at Risk: What can the user NOT do?
  2. Disability Impact: How are specific disabilities affected?
  3. Remediation: What change restores the outcome?
  4. Verification: How do we verify outcome is achieved?

Seewcag-3.0-outcomes-framework.md for assessment template and outcome-focused remediation patterns.


External Resources

Signals

GitHub stars
78
Forks
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Last commit
Apr 2026
Advanced
Catalog kind
skill
Gateway key
wcag-compliance
Source
github.com/tan-yong-sheng/ai-vision-mcp