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Realitykit

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dpearson2699
realitykit

Build iOS augmented reality and 3D experiences with RealityKit and ARKit. Use when adding RealityView content, loading entities or USDZ models, anchoring objects to planes or world positions, distinguishing entity hit tests from ARKit real-world raycasts, handling AR camera availability, world tracking, scene updates, or RealityKit entity gestures and interactions.

Overview

Publisherdpearson2699
Repositoryswift-ios-skills
Skill namerealitykit
Stars
1.2K
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61
Bundled files
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dpearson2699 on GitHub. Read the source before you install it.

Installation

Install the Realitykit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/realitykit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git /tmp/swift-ios-skills
mkdir -p .claude/skills
cp -r /tmp/swift-ios-skills/skills/realitykit .claude/skills/realitykit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Realitykit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Realitykit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Realitykit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

RealityKit

Build AR experiences on iOS using RealityKit for rendering and ARKit for world tracking. Covers RealityView, entity management, raycasting, scene understanding, and gesture-based interactions. Targets Swift 6.3 / iOS 26+.

Contents

Setup

Project Configuration

  1. Add NSCameraUsageDescription to Info.plist
  2. On iOS, RealityViewCameraContent displays an AR camera view by default (iOS 18+, macOS 15+); use .virtual camera mode for explicit non-AR fallback
  3. No entitlement is required for basic AR. If AR is core to the app, add the arkit required-device capability; otherwise gate AR UI with isSupported.

Device Requirements

Check the exact AR configuration's isSupported value before presenting AR UI.

swift
import ARKit

guard ARWorldTrackingConfiguration.isSupported else {
    showUnsupportedDeviceMessage()
    return
}

Key Types

TypePlatformRole
RealityViewiOS 18+, visionOS 1+SwiftUI view that hosts RealityKit content
RealityViewCameraContentiOS 18+, macOS 15+Content displayed through an AR camera view on iOS, non-AR on macOS
EntityAllBase class for all scene objects
ModelEntityAllEntity with a visible 3D model
AnchorEntityAllTethers entities to a real-world anchor

RealityView Basics

RealityView is the SwiftUI entry point for RealityKit. RealityViewCameraContent is the iOS/macOS content type. On iOS, it uses an AR camera view by default and can use content.camera = .virtual for non-AR mode when requested or when AR/camera access is unavailable.

swift
import ARKit
import SwiftUI
import RealityKit

struct ARExperienceView: View {
    var body: some View {
        RealityView { (content: RealityViewCameraContent) in
            if !ARWorldTrackingConfiguration.isSupported {
                content.camera = .virtual
            }

            let sphere = ModelEntity(
                mesh: .generateSphere(radius: 0.05),
                materials: [SimpleMaterial(
                    color: .blue,
                    isMetallic: true
                )]
            )
            sphere.position = [0, 0, -0.5]  // 50cm in front of camera
            content.add(sphere)
        }
    }
}

Make and Update Pattern

Use the update closure to respond to SwiftUI state changes:

swift
struct PlacementView: View {
    @State private var modelColor: UIColor = .red

    var body: some View {
        RealityView { content in
            let box = ModelEntity(
                mesh: .generateBox(size: 0.1),
                materials: [SimpleMaterial(
                    color: .red,
                    isMetallic: false
                )]
            )
            box.name = "colorBox"
            box.position = [0, 0, -0.5]
            content.add(box)
        } update: { content in
            if let box = content.entities.first(
                where: { $0.name == "colorBox" }
            ) as? ModelEntity {
                box.model?.materials = [SimpleMaterial(
                    color: modelColor,
                    isMetallic: false
                )]
            }
        }

        Button("Change Color") {
            modelColor = modelColor == .red ? .green : .red
        }
    }
}

Loading and Creating Entities

Loading from USDZ Files

Load 3D models asynchronously to avoid blocking the main thread:

swift
RealityView { content in
    if let robot = try? await ModelEntity(named: "robot") {
        robot.position = [0, -0.2, -0.8]
        robot.scale = [0.01, 0.01, 0.01]
        content.add(robot)
    }
}

Adding Components

Entities use an ECS (Entity Component System) architecture. Add components to give entities behavior:

swift
let box = ModelEntity(
    mesh: .generateBox(size: 0.1),
    materials: [SimpleMaterial(color: .red, isMetallic: false)]
)

// Make it respond to physics
box.components.set(PhysicsBodyComponent(
    massProperties: .default,
    material: .default,
    mode: .dynamic
))

// Add collision shape for interaction
box.components.set(CollisionComponent(
    shapes: [.generateBox(size: [0.1, 0.1, 0.1])]
))

// Enable input targeting for gestures
box.components.set(InputTargetComponent())

Anchoring and Placement

AnchorEntity

Use AnchorEntity to anchor content to detected surfaces or world positions:

swift
RealityView { content in
    // Anchor to a horizontal surface
    let floorAnchor = AnchorEntity(.plane(
        .horizontal,
        classification: .floor,
        minimumBounds: [0.2, 0.2]
    ))

    let model = ModelEntity(
        mesh: .generateBox(size: 0.1),
        materials: [SimpleMaterial(color: .orange, isMetallic: false)]
    )
    floorAnchor.addChild(model)
    content.add(floorAnchor)
}

Anchor Targets

TargetDescription
.plane(.horizontal, ...)Horizontal surfaces (floors, tables)
.plane(.vertical, ...)Vertical surfaces (walls)
.plane(.any, ...)Any detected plane
.world(transform:)Fixed world-space position

Raycasting

Keep RealityKit scene queries separate from ARKit real-world raycasts:

  • RealityViewCameraContent.ray(through:in:to:) returns a camera ray in RealityKit coordinate spaces. It projects a screen point into the virtual scene; it is not proof of a detected physical surface.
  • RealityViewCameraContent.hitTest(point:in:query:mask:) hits virtual entities made hittable by CollisionComponent shapes. Use those shapes for entity picking and targeted gestures, not ARKit plane detection.
  • Use AnchorEntity(.plane(...)) for simple placement on detected planes.
  • Use ARKit ARRaycastQuery plus ARSession.raycast(_:) when the task needs a one-shot intersection with real-world surfaces, then anchor with AnchorEntity(raycastResult:).
swift
let results = session.raycast(query)
if let result = results.first {
    let anchor = AnchorEntity(raycastResult: result)
    anchor.addChild(model)
    content.add(anchor)
}

Do not treat entity hit tests as substitutes for ARKit surface raycasts.

Gestures and Interaction

For gesture-based entity interaction, add CollisionComponent for the hittable shape and InputTargetComponent for input targeting.

Drag Gesture on Entities

swift
struct DraggableARView: View {
    var body: some View {
        RealityView { content in
            let box = ModelEntity(
                mesh: .generateBox(size: 0.1),
                materials: [SimpleMaterial(color: .blue, isMetallic: true)]
            )
            box.position = [0, 0, -0.5]
            box.components.set(CollisionComponent(
                shapes: [.generateBox(size: [0.1, 0.1, 0.1])]
            ))
            box.components.set(InputTargetComponent())
            box.name = "draggable"
            content.add(box)
        }
        .gesture(
            DragGesture()
                .targetedToAnyEntity()
                .onChanged { value in
                    let entity = value.entity
                    guard let parent = entity.parent else { return }
                    entity.position = value.convert(
                        value.location3D,
                        from: .local,
                        to: parent
                    )
                }
        )
    }
}

Scene Understanding

Per-Frame Updates

Subscribe to SceneEvents.Update for continuous scene work rather than driving RealityKit with a SwiftUI timer. Keep the subscription alive and use event.deltaTime; see Entity Animations.

Platform Boundaries

On visionOS, ARKit provides a different API surface with ARKitSession, WorldTrackingProvider, and PlaneDetectionProvider. These visionOS-specific types are not available on iOS. On iOS, RealityKit handles world tracking automatically through RealityViewCameraContent.

For iOS architecture or migration notes, gate AR with ARWorldTrackingConfiguration.isSupported, host content with RealityViewCameraContent, and build scenes from Entity/ModelEntity placed with AnchorEntity.

Handoffs: CollisionComponent + InputTargetComponent handle RealityKit interaction; AccessibilityComponent handles entity accessibility metadata; detailed SwiftUI gestures and VoiceOver/Switch Control policy belong to siblings.

Treat existing SCNView/SCNNode work as either a separate SceneKit path or an explicit migration to RealityKit, not a mixed scene graph.

Common Mistakes

DON'T: Skip AR capability checks

Use the configuration-specific support check from Setup before presenting AR. Show non-AR content or an explicit unavailable state when it fails.

DON'T: Load heavy models synchronously

Loading large USDZ files on the main thread causes frame drops and hangs. The make closure of RealityView is async -- use it.

swift
// WRONG -- synchronous load blocks the main thread
RealityView { content in
    let model = try! Entity.load(named: "large-scene")
    content.add(model)
}

// CORRECT -- async load
RealityView { content in
    if let model = try? await ModelEntity(named: "large-scene") {
        content.add(model)
    }
}

DON'T: Forget collision and input target components for interactive entities

Interactive entities need both components shown in Gestures and Interaction; without them, taps and drags pass through.

DON'T: Create new entities in the update closure

The update closure runs on every SwiftUI state change. Creating entities there duplicates content on each render pass.

swift
// WRONG -- duplicates entities on every state change
RealityView { content in
    // empty
} update: { content in
    let sphere = ModelEntity(mesh: .generateSphere(radius: 0.05))
    content.add(sphere)  // Added again on every update
}

// CORRECT -- create in make, modify in update
RealityView { content in
    let sphere = ModelEntity(mesh: .generateSphere(radius: 0.05))
    sphere.name = "mySphere"
    content.add(sphere)
} update: { content in
    if let sphere = content.entities.first(
        where: { $0.name == "mySphere" }
    ) as? ModelEntity {
        // Modify existing entity
        sphere.position.y = newYPosition
    }
}

DON'T: Ignore camera permission

RealityKit on iOS needs camera access. If the user denies permission, the view shows a black screen with no explanation.

swift
// WRONG -- no permission handling
RealityView { content in
    // Black screen if camera denied
}

// CORRECT -- check and request permission
struct ARContainerView: View {
    @State private var cameraAuthorized = false

    var body: some View {
        Group {
            if cameraAuthorized {
                RealityView { content in
                    // AR content
                }
            } else {
                ContentUnavailableView(
                    "Camera Access Required",
                    systemImage: "camera.fill",
                    description: Text("Enable camera in Settings to use AR.")
                )
            }
        }
        .task {
            let status = AVCaptureDevice.authorizationStatus(for: .video)
            if status == .authorized {
                cameraAuthorized = true
            } else if status == .notDetermined {
                cameraAuthorized = await AVCaptureDevice
                    .requestAccess(for: .video)
            }
        }
    }
}

Review Checklist

  • NSCameraUsageDescription set in Info.plist
  • AR device capability checked before presenting AR views
  • Camera permission requested and denial handled with a fallback UI
  • arkit required-device capability added when AR is the app's core purpose
  • 3D models loaded asynchronously in the make closure
  • Entities created in make, modified in update (not created in update)
  • Interaction prerequisites and sibling handoffs follow the Gestures section
  • Entity hit tests, camera rays, and ARKit surface raycasts follow the Raycasting distinctions
  • SceneEvents.Update subscriptions used for per-frame logic (not SwiftUI timers)
  • Large scenes use ModelEntity(named:) async loading, not Entity.load(named:)
  • Anchor entities target appropriate surface types for the use case
  • Entity names set for lookup in the update closure

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Realitykit AI skill do?

Build iOS augmented reality and 3D experiences with RealityKit and ARKit. Use when adding RealityView content, loading entities or USDZ models, anchoring objects to planes or world positions, distinguishing entity hit tests from ARKit real-world raycasts, handling AR camera availability, world tracking, scene updates, or RealityKit entity gestures and interactions.

Why use Realitykit on TypingMind?

Because you install it once and use it with any model. Realitykit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Realitykit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/realitykit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Realitykit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Realitykit?

As many as you like. As long as a model supports skills, you can use Realitykit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Realitykit AI skill free?

It is published on GitHub by dpearson2699. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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