Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
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。
Expert guide for WebXR spatial computing, Web-based Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR) using Babylon.js and Three.js. Covers Apple Vision Pro, Meta Quest 3, hand tracking, and hit-testing / Panduan ahli WebXR spatial computing (VR/AR/MR).
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。
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Connects and orchestrates with relevant domain skills:
web-3d-graphics-expert — WebGPU/WebGL 3D scene rendering, lighting, and model optimization.web-game-engine-expert — Spatial physics, grabbing interactions, and fixed-timestep motion.apple-ecosystem-expert — Apple Vision Pro visionOS Safari WebXR features and spatial guidelines.glsl-shader-expert — Passthrough blending and spatial holographic shaders.performance-web-vitals — Maintaining rock-solid 72/90/120 FPS to prevent simulator sickness.Production-grade guidance for architecting immersive Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR) in the browser via the WebXR Device API. Covers modern head-mounted displays (Meta Quest 3/3S, Apple Vision Pro) and mobile AR, focusing on Babylon.js and Three.js with @react-three/xr.
Activate this skill when the user is:
immersive-vr, immersive-ar).| Target Platform | Session Mode | Key Features |
|---|---|---|
| Meta Quest 3 / 3S | immersive-vr, immersive-ar | Full-color stereo passthrough, high-precision hand tracking, fixed foveation levels 0-3. |
| Apple Vision Pro (visionOS) | immersive-vr, immersive-ar | Eye-gaze + pinch interaction, 90/120Hz display refresh, strict privacy hand tracking. |
| Mobile AR (Android / iOS WebKit) | immersive-ar | Surface hit-testing, ambient light estimation, instant plane detection. |
Babylon.js provides the most comprehensive out-of-the-box WebXR implementation with integrated teleportation, controller profiles, and physics:
import { Scene, WebXRExperienceHelper, WebXRFeatureName } from '@babylonjs/core';
export async function initBabylonXR(scene: Scene) {
const xr = await scene.createDefaultXRExperienceAsync({
uiOptions: {
sessionMode: 'immersive-ar', // Fallback to 'immersive-vr' if AR is unsupported
referenceSpaceType: 'local-floor'
},
optionalFeatures: ['hit-test', 'hand-tracking', 'anchors', 'plane-detection']
});
// Enable Fixed Foveated Rendering to reclaim 20-30% GPU performance on Quest
const foveation = xr.baseExperience.featuresManager.enableFeature(
WebXRFeatureName.FOVEATION,
'latest',
{ foveationLevel: 2 }
);
// Listen for Hand Tracking
const handTracking = xr.baseExperience.featuresManager.enableFeature(
WebXRFeatureName.HAND_TRACKING,
'latest',
{ xrInput: xr.input }
);
return xr;
}
@react-three/xr)import { Canvas } from '@react-three/fiber';
import { XR, createXRStore, Hands, Controllers } from '@react-three/xr';
const store = createXRStore({
foveation: 1,
handTracking: true
});
export function SpatialApp() {
return (
<>
<button className="xr-btn" onClick={() => store.enterAR()}>
Enter Mixed Reality
</button>
<Canvas>
<XR store={store}>
<ambientLight intensity={0.8} />
<directionalLight position={[5, 10, 5]} />
<Controllers />
<Hands />
{/* Spatial 3D Objects */}
<mesh position={[0, 1.2, -1]}>
<boxGeometry args={[0.3, 0.3, 0.3]} />
<meshStandardMaterial color="royalblue" />
</mesh>
</XR>
</Canvas>
</>
);
}
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Terhubung dan mengorkestrasi skill domain yang relevan:
web-3d-graphics-expert — Rendering scene 3D WebGPU/WebGL, pencahayaan, dan optimasi model.web-game-engine-expert — Fisika spasial, interaksi menggenggam objek, dan pergerakan fixed-timestep.apple-ecosystem-expert — Fitur WebXR Safari di Apple Vision Pro visionOS dan pedoman spasial.glsl-shader-expert — Shader hologram dan blending passthrough AR.performance-web-vitals — Menjaga kestabilan 72/90/120 FPS demi mencegah motion sickness.Panduan produksi untuk membangun aplikasi spasial imersif Virtual Reality (VR), Mixed Reality (MR), dan Augmented Reality (AR) di browser melalui WebXR Device API. Mencakup headset modern (Meta Quest 3/3S, Apple Vision Pro) serta perangkat mobile AR.
Aktifkan skill ini ketika pengguna:
immersive-vr, immersive-ar).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
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
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。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
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。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
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。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
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。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
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。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
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。