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arkit-spatial-sensing-workflowlisted

Guide ARKit world tracking, anchors, planes, ray casting, feature points, scene depth, smoothed depth, LiDAR scene reconstruction, meshes, classification, environment texturing, world maps, relocalization, reference images and objects, geographic anchors, visionOS providers, privacy, and diagnostics. Use when Apple-platform spatial sensing or environment understanding is primary.
gaelic-ghost/socket · ★ 6 · AI & Automation · score 69
Install: claude install-skill gaelic-ghost/socket
# ARKit Spatial Sensing Workflow ## Purpose Guide ARKit environment sensing while preserving the platform-specific session model, typed spatial data, tracking quality, authorization, privacy, and rendering/scanning handoffs. ## When To Use - Use for world tracking, planes, anchors, ray casting, scene depth, LiDAR reconstruction, meshes, environment understanding, maps, relocalization, and visionOS ARKit providers. - Recommend `camera-capture-depth-workflow` for camera controls, photo/video capture, calibrated camera depth, or synchronized camera outputs. - Recommend `arkit-face-body-tracking-workflow` for TrueDepth face geometry or body skeleton tracking. ## Single-Path Workflow 1. Classify the spatial task: - world tracking and tracking-state repair - plane, image, object, or geographic detection - ray casting, hit testing, feature points, or measurement - scene depth or smoothed scene depth - scene reconstruction, mesh geometry, or classification - environment texturing or probes - world-map persistence, sharing, or relocalization - visionOS authorization and provider lifecycle 2. Apply the Apple docs gate: - read current ARKit documentation for the selected platform and capability - state the documented behavior relied on - apply `../../shared/references/apple-spatial-data-privacy-contract.md` - check `supportsFrameSemantics`, `supportsSceneReconstruction`, configuration support, provider support, authorization, and device capabili