This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Apple Human Interface Guidelines expert across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS. Use when designing or reviewing an Apple-platform app, auditing for HIG compliance, picking native components, or validating accessibility.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
A skill focused on shipping apps that feel native on Apple platforms. Covers the underlying HIG principles, platform-specific patterns, native component selection, and accessibility expectations.
This skill is opinionated about native conventions. It's not the right skill if your goal is to maximize cross-platform UX uniformity over native fit (see web design guides for that).
hig_compliance_checker.py with the screen inventory.python3 apple-hig-expert/scripts/hig_compliance_checker.py \
--input screens.json --format markdown
component_pattern_lookup.py to surface candidate patterns,
trade-offs, and platform-specific guidance.python3 apple-hig-expert/scripts/component_pattern_lookup.py \
--platform ios --goal "show options without leaving context" --format markdown
accessibility_auditor.py to surface gaps.python3 apple-hig-expert/scripts/accessibility_auditor.py \
--input a11y_state.json --format markdown
| Pattern | When to use | Platform |
|---|---|---|
| Sheet (medium / large) | Modal task with clear escape | iOS, iPadOS, macOS, visionOS |
| Popover | Context-anchored options, brief | iPadOS (compact: replaced with sheet), macOS |
| Full-screen cover | Immersive task, e.g., photo editing | iOS |
| Push (navigation stack) | Hierarchical drill-in | iOS, iPadOS |
| Inspector | Persistent secondary content | macOS, iPadOS |
| Toolbar item | Quick action on current context | All |
Common mistake: popover on compact iPhone (it becomes a sheet automatically; design for both).
The trend (2026) is SwiftUI-first for new development; UIKit retains strength in performance-sensitive lists and complex gesture handling.
systemBackground, secondaryLabel) — they
adapt to light/dark mode automaticallylargeTitle, body, caption) — they
scale with user accessibility settingsUIFontMetrics /
SwiftUI dynamicTypeSizeaccessibilityHiddenaccessibilityTraitsreferences/hig-fundamentals.md — principles, design language, foundational patternsreferences/ios-component-patterns.md — sheets, navigation, controls, gestures, listsreferences/cross-platform-considerations.md — iPad, Mac, Watch, TV, Vision differencesproduct-team/product-designer — broader product designproduct-team/ui-design-system — design system constructionproduct-team/ux-researcher-designer — research informing designengineering/senior-frontend — implementationまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。