Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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。
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
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Comprehensive best practices for React Native and Expo applications. Contains rules across multiple categories covering performance, animations, UI patterns, and platform-specific optimizations.
Reference these guidelines when:
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | List Performance | CRITICAL | list-performance- |
| 2 | Animation | HIGH | animation- |
| 3 | Navigation | HIGH | navigation- |
| 4 | UI Patterns | HIGH | ui- |
| 5 | State Management | MEDIUM | react-state- |
| 6 | Rendering | MEDIUM | rendering- |
| 7 | Monorepo | MEDIUM | monorepo- |
| 8 | Configuration | LOW | fonts-, imports- |
list-performance-virtualize - Use FlashList for large listslist-performance-item-memo - Memoize list item componentslist-performance-callbacks - Stabilize callback referenceslist-performance-inline-objects - Avoid inline style objectslist-performance-function-references - Extract functions outside renderlist-performance-images - Optimize images in listslist-performance-item-expensive - Move expensive work outside itemslist-performance-item-types - Use item types for heterogeneous listsanimation-gpu-properties - Animate only transform and opacityanimation-derived-value - Use useDerivedValue for computed animationsanimation-gesture-detector-press - Use Gesture.Tap instead of Pressablenavigation-native-navigators - Use native stack and native tabs over JS navigatorsui-expo-image - Use expo-image for all imagesui-image-gallery - Use Galeria for image lightboxesui-pressable - Use Pressable over TouchableOpacityui-safe-area-scroll - Handle safe areas in ScrollViewsui-scrollview-content-inset - Use contentInset for headersui-menus - Use native context menusui-native-modals - Use native modals when possibleui-measure-views - Use onLayout, not measure()ui-styling - Use StyleSheet.create or Nativewindreact-state-minimize - Minimize state subscriptionsreact-state-dispatcher - Use dispatcher pattern for callbacksreact-state-fallback - Show fallback on first renderreact-compiler-destructure-functions - Destructure for React Compilerreact-compiler-reanimated-shared-values - Handle shared values with compilerrendering-text-in-text-component - Wrap text in Text componentsrendering-no-falsy-and - Avoid falsy && for conditional renderingmonorepo-native-deps-in-app - Keep native dependencies in app packagemonorepo-single-dependency-versions - Use single versions across packagesfonts-config-plugin - Use config plugins for custom fontsimports-design-system-folder - Organize design system importsjs-hoist-intl - Hoist Intl object creationRead individual rule files for detailed explanations and code examples:
rules/list-performance-virtualize.md
rules/animation-gpu-properties.md
Each rule file contains:
For the complete guide with all rules expanded: AGENTS.md
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概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
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。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
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。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
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。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
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。