skills/accessibility-design/SKILL.md
Designs and implements WCAG 2.1 AA accessibility patterns for web applications using native HTML first, targeted ARIA only when needed, keyboard interaction maps, focus management, screen reader semantics, contrast tokens, accessible forms, reduced motion, and inclusive interaction requirements. [EXPLICIT] Trigger: "accessibility", "WCAG", "ARIA", "a11y", "screen reader", "inclusive design"
npx skillsauth add javimontano/jm-agentic-development-kit-alfa accessibility-designInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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"The power of the Web is in its universality. Access by everyone regardless of disability is an essential aspect." — Tim Berners-Lee
Designs or implements accessible web UI behavior before or during feature
delivery. [EXPLICIT]
Use this skill to produce component-level accessibility requirements, semantic
HTML/ARIA decisions, keyboard maps, focus rules, contrast/token requirements,
form/error behavior, and acceptance criteria. [EXPLICIT]
Use accessibility-audit or accessibility-testing when the primary task is
to discover/report violations rather than design the solution. [EXPLICIT]
accessibility-audit or
accessibility-testing; this skill owns accessible design and implementation
specifications. [EXPLICIT]aria-hidden does not hide focusable or meaningful content. [EXPLICIT]outline: none) without replacementaria-label that hides or contradicts visible textaria-hidden="true"html-semantic — semantic HTML is the foundation of accessibilityform-engineering — accessible form patterns and validationresponsive-design — responsive and accessible design overlap significantlyaccessibility-audit — use when the primary output is an audit reportaccessibility-testing — use when the primary output is test automation or manual test executionExample invocations:
| Scenario | Handling | |----------|----------| | Empty or minimal input | Request clarification before proceeding | | Conflicting requirements | Flag conflicts explicitly, propose resolution | | Out-of-scope request | Redirect to appropriate skill or escalate |
testing
AI-generated content detection, watermarking, human-AI hybrid strategies. [EXPLICIT] Trigger: "ai content detection"
testing
Concept of Operations (CONOPS) for AI systems — system vision, stakeholder mapping, AI-human interaction spectrum, business value assessment, success metrics, and operational modes. This skill should be used when the user asks to "define the AI operational concept", "map AI stakeholders", "design AI-human interaction levels", "assess AI business value", "define AI success metrics", "plan AI operational modes", or mentions CONOPS, IEEE 1362, AI autonomy levels, AI value matrix, or AI system vision. [EXPLICIT]
development
LLM-assisted code review patterns, automated suggestion generation. [EXPLICIT] Trigger: "ai code review"
testing
AI-generated test cases, fuzzing, mutation testing, coverage optimization. [EXPLICIT] Trigger: "ai assisted testing"