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accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

accessibility란 무엇인가요?

accessibility is a Cursor agent skill that design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

지원 대상~Claude Code~Codex CLICursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/accessibility

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Accessibility (WCAG 2.2)

This skill ensures that digital interfaces are Perceivable, Operable, Understandable, and Robust (POUR) for all users, including those using screen readers, switch controls, or keyboard navigation. It focuses on the technical implementation of WCAG 2.2 success criteria.

When to Use

  • Defining UI component specifications for Web, iOS, or Android.
  • Auditing existing code for accessibility barriers or compliance gaps.
  • Implementing new WCAG 2.2 standards like Target Size (Minimum) and Focus Appearance.
  • Mapping high-level design requirements to technical attributes (ARIA roles, traits, hints).

Core Concepts

  • POUR Principles: The foundation of WCAG (Perceivable, Operable, Understandable, Robust).
  • Semantic Mapping: Using native elements over generic containers to provide built-in accessibility.
  • Accessibility Tree: The representation of the UI that assistive technologies actually "read."
  • Focus Management: Controlling the order and visibility of the keyboard/screen reader cursor.
  • Labeling & Hints: Providing context through aria-label, accessibilityLabel, and contentDescription.

How It Works

Step 1: Identify the Component Role

Determine the functional purpose (e.g., Is this a button, a link, or a tab?). Use the most semantic native element available before resorting to custom roles.

Step 2: Define Perceivable Attributes

  • Ensure text contrast meets 4.5:1 (normal) or 3:1 (large/UI).
  • Add text alternatives for non-text content (images, icons).
  • Implement responsive reflow (up to 400% zoom without loss of function).

Step 3: Implement Operable Controls

  • Ensure a minimum 24x24 CSS pixel target size (WCAG 2.2 SC 2.5.8).
  • Verify all interactive elements are reachable via keyboard and have a visible focus indicator (SC 2.4.11).
  • Provide single-pointer alternatives for dragging movements.

Step 4: Ensure Understandable Logic

  • Use consistent navigation patterns.
  • Provide descriptive error messages and suggestions for correction (SC 3.3.3).
  • Implement "Redundant Entry" (SC 3.3.7) to prevent asking for the same data twice.

Step 5: Verify Robust Compatibility

  • Use correct Name, Role, Value patterns.
  • Implement aria-live or live regions for dynamic status updates.

Accessibility Architecture Diagram

flowchart TD
  UI["UI Component"] --> Platform{Platform?}
  Platform -->|Web| ARIA["WAI-ARIA + HTML5"]
  Platform -->|iOS| SwiftUI["Accessibility Traits + Labels"]
  Platform -->|Android| Compose["Semantics + ContentDesc"]

  ARIA --> AT["Assistive Technology (Screen Readers, Switches)"]
  SwiftUI --> AT
  Compose --> AT

Cross-Platform Mapping

FeatureWeb (HTML/ARIA)iOS (SwiftUI)Android (Compose)
Primary Labelaria-label / <label>.accessibilityLabel()contentDescription
Secondary Hintaria-describedby.accessibilityHint()Modifier.semantics { stateDescription = ... }
Action Rolerole="button".accessibilityAddTraits(.isButton)Modifier.semantics { role = Role.Button }
Live Updatesaria-live="polite".accessibilityLiveRegion(.polite)Modifier.semantics { liveRegion = LiveRegionMode.Polite }

Examples

Web: Accessible Search

<form role="search">
  <label for="search-input" class="sr-only">Search products</label>
  <input type="search" id="search-input" placeholder="Search..." />
  <button type="submit" aria-label="Submit Search">
    <svg aria-hidden="true">...</svg>
  </button>
</form>

iOS: Accessible Action Button

Button(action: deleteItem) {
    Image(systemName: "trash")
}
.accessibilityLabel("Delete item")
.accessibilityHint("Permanently removes this item from your list")
.accessibilityAddTraits(.isButton)

Android: Accessible Toggle

Switch(
    checked = isEnabled,
    onCheckedChange = { onToggle() },
    modifier = Modifier.semantics {
        contentDescription = "Enable notifications"
    }
)

Anti-Patterns to Avoid

  • Div-Buttons: Using a <div> or <span> for a click event without adding a role and keyboard support.
  • Color-Only Meaning: Indicating an error or status only with a color change (e.g., turning a border red).
  • Uncontained Modal Focus: Modals that don't trap focus, allowing keyboard users to navigate background content while the modal is open. Focus must be contained and escapable via the Escape key or an explicit close button (WCAG SC 2.1.2).
  • Redundant Alt Text: Using "Image of..." or "Picture of..." in alt text (screen readers already announce the role "Image").

Best Practices Checklist

  • Interactive elements meet the 24x24px (Web) or 44x44pt (Native) target size.
  • Focus indicators are clearly visible and high-contrast.
  • Modals contain focus while open, and release it cleanly on close (Escape key or close button).
  • Dropdowns and menus restore focus to the trigger element on close.
  • Forms provide text-based error suggestions.
  • All icon-only buttons have a descriptive text label.
  • Content reflows properly when text is scaled.

References

Related Skills

  • frontend-patterns
  • design-system
  • liquid-glass-design
  • swiftui-patterns

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

api-design

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.

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