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Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing ac...
--- name: wcag-audit-patterns-113f9fd188a1 description: "Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing ac..." risk: unknown source: community date_added: "2026-02-27" --- # WCAG Audit Patterns Comprehensive guide to auditing web content against WCAG 2.2 guidelines with actionable remediation strategies. ## Use this skill when - Conducting accessibility audits - Fixing WCAG violations - Implementing accessible components - Preparing for accessibility lawsuits - Meeting ADA/Section 508 requirements - Achieving VPAT compliance ## Do not use this skill when - You need legal advice or formal certification - You only want a quick automated scan without manual verification - You cannot access the UI or source for remediation work ## Instructions 1. Run automated scans (axe, Lighthouse, WAVE) to collect initial findings. 2. Perform manual checks (keyboard navigation, focus order, screen reader flows). 3. Map each issue to a WCAG criterion, severity, and remediation guidance. 4. Re-test after fixes and document residual risk and compliance status. Refer to `resources/implementation-playbook.md` for detailed patterns, checklists, and templates. ## Safety - Avoid claiming legal compliance without expert review. - Keep evidence of test steps and results for audit trails. ## Resources - `resources/implementation-playbook.md` for detailed patterns, checklists, and templates. --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior design decisions (color palettes, typography, spacing scales) to maintain visual consistency across sessions. Cache generated design tokens. ```bash # Check for prior frontend/design context before starting python3 execution/memory_manager.py auto --query "design system decisions and component patterns for Wcag Audit Patterns" ``` ### Storing Results After completing work, store frontend/design decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Design system: adopted 8px grid, Inter font family, HSL color tokens with dark mode support" \ --type decision --project <project> \ --tags wcag-audit-patterns frontend ``` ### Multi-Agent Collaboration Share design decisions with backend agents (API contract changes) and QA agents (visual regression baselines). ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Implemented UI components — new design system with accessibility compliance (WCAG 2.1 AA)" \ --project <project> ``` ### Design Memory Persistence Store design system tokens and component decisions in Qdrant so any agent on any platform (Claude, Gemini, Cursor) can retrieve and apply consistent styling. <!-- AGI-INTEGRATION-END -->--- name: wcag-audit-patterns-113f9fd188a1 description: "Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing ac..." risk: unknown source: community date_added: "2026-02-27" --- # WCAG Audit Patterns Comprehensive guide to auditing web content against WCAG 2.2 guidelines with actionable remediation strategies. ## Use this skill when - Conducting accessibility audits - Fixing WCAG violations - Implementing accessible components - Preparing for accessibility lawsuits - Meeting ADA/Section 508 requirements - Achieving VPAT compliance ## Do not use this skill when - You need legal advice or formal certification - You only want a quick automated scan without manual verification - You cannot access the UI or source for remediation work ## Instructions 1. Run automated scans (axe, Lighthouse, WAVE) to collect initial findings. 2. Perform manual checks (keyboard navigation, focus order, screen reader flows). 3. Map each issue to a WCAG criterion, severity, and remediation guidance. 4. Re-test after fixes and document residual risk and compliance status. Refer to `resources/implementation-playbook.md` for detailed patterns, checklists, and templates. ## Safety - Avoid claiming legal compliance without expert review. - Keep evidence of test steps and results for audit trails. ## Resources - `resources/implementation-playbook.md` for detailed patterns, checklists, and templates. --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior design decisions (color palettes, typography, spacing scales) to maintain visual consistency across sessions. Cache generated design tokens. ```bash # Check for prior frontend/design context before starting python3 execution/memory_manager.py auto --query "design system decisions and component patterns for Wcag Audit Patterns" ``` ### Storing Results After completing work, store frontend/design decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "Design system: adopted 8px grid, Inter font family, HSL color tokens with dark mode support" \ --type decision --project <project> \ --tags wcag-audit-patterns frontend ``` ### Multi-Agent Collaboration Share design decisions with backend agents (API contract changes) and QA agents (visual regression baselines). ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Implemented UI components — new design system with accessibility compliance (WCAG 2.1 AA)" \ --project <project> ``` ### Design Memory Persistence Store design system tokens and component decisions in Qdrant so any agent on any platform (Claude, Gemini, Cursor) can retrieve and apply consistent styling. <!-- AGI-INTEGRATION-END -->
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.