This is a solid, actionable accessibility skill with excellent cross-platform code examples and a useful mapping table. Its main weaknesses are some unnecessary conceptual explanation (POUR principles, accessibility tree definitions) that Claude already knows, and the lack of explicit validation/testing steps in the workflow. The content would benefit from being trimmed and split into a concise overview with references to platform-specific detail files.

Suggestions

Remove or drastically shorten the 'Core Concepts' section—Claude already understands POUR, the accessibility tree, and focus management. Keep only project-specific conventions.

Add explicit validation steps to the workflow, such as 'Run axe-core or Lighthouse audit' after implementation and 'Test with VoiceOver/TalkBack' before marking complete.

Split platform-specific examples and the cross-platform mapping table into separate referenced files (e.g., WEB_A11Y.md, IOS_A11Y.md, ANDROID_A11Y.md) to keep the main skill lean.

Dimension	Reasoning	Score
Conciseness	The 'Core Concepts' section explains POUR principles and the accessibility tree, which Claude already knows well. The 'When to Use' section is somewhat redundant given the description. However, the cross-platform mapping table and examples are efficient and information-dense.	2 / 3
Actionability	Provides fully executable code examples across three platforms (Web HTML, SwiftUI, Jetpack Compose), a concrete cross-platform mapping table with specific API calls, specific numeric thresholds (4.5:1 contrast, 24x24px targets), and a practical checklist. The examples are copy-paste ready.	3 / 3
Workflow Clarity	The 5-step process provides a reasonable sequence for implementing accessibility, but lacks validation checkpoints. For an audit workflow, there's no explicit 'test with screen reader' or 'run automated checker' verification step. Given that accessibility implementation can introduce subtle errors, the absence of a feedback loop caps this at 2.	2 / 3
Progressive Disclosure	The content is well-structured with clear sections and headers, but it's fairly long and monolithic. The cross-platform mapping table, detailed examples for three platforms, anti-patterns, and checklist could be split into referenced files. References to external docs are present but no internal file references for deeper content.	2 / 3
	Total	9 / 12 Passed

Description

57%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description establishes a clear niche around accessibility and WCAG compliance, which makes it distinctive. However, it lacks an explicit 'Use when...' clause with natural trigger terms users would say, and the listed actions could be more concrete (e.g., specifying what auditing or implementing entails). Adding common accessibility-related trigger terms and explicit usage conditions would significantly improve skill selection accuracy.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about accessibility, screen readers, WCAG compliance, keyboard navigation, or making a website/app accessible.'

Include more natural trigger terms users would say, such as 'a11y', 'screen reader support', 'alt text', 'keyboard navigation', 'ADA compliance', 'color contrast'.

Make actions more concrete—e.g., instead of 'audit inclusive digital products', specify 'check color contrast ratios, validate heading hierarchy, review focus order, and generate accessibility audit reports'.

Dimension	Reasoning	Score
Specificity	Names the domain (accessibility/WCAG) and some actions ('design, implement, audit', 'generate semantic ARIA', 'accessibility traits'), but the actions are somewhat broad and not fully concrete—e.g., 'audit inclusive digital products' is vague about what auditing entails specifically.	2 / 3
Completeness	The 'what' is partially addressed (design, implement, audit with WCAG standards, generate ARIA/accessibility traits), and there is a partial 'when' implied by 'Use this skill to generate semantic ARIA...', but there is no explicit 'Use when...' clause describing the triggering conditions or user scenarios.	2 / 3
Trigger Term Quality	Includes relevant keywords like 'WCAG 2.2', 'ARIA', 'accessibility', 'iOS/Android', 'semantic', but misses common user-facing trigger terms like 'screen reader', 'a11y', 'alt text', 'keyboard navigation', 'accessible', or 'ADA compliance' that users would naturally say.	2 / 3
Distinctiveness Conflict Risk	The focus on WCAG 2.2 Level AA, ARIA, and accessibility traits for both Web and Native platforms creates a clear, distinct niche that is unlikely to conflict with other skills.	3 / 3
	Total	9 / 12 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Reviewed

2 months ago

Table of Contents

Discovery Implementation Validation