Mapbox Ios Patterns logo

Mapbox Ios Patterns

Organization
mapbox
mapbox-ios-patterns

Official integration patterns for Mapbox Maps SDK on iOS. Covers installation, adding markers, user location, custom data, styles, camera control, and featureset interactions. Based on official Mapbox documentation.

Overview

Publishermapbox
Repositorymapbox-agent-skills
Skill namemapbox-ios-patterns
Stars
78
Forks
17
Bundled files
7
LicenseMIT
Links
  • 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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Mapbox Ios Patterns 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.
  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/mapbox/mapbox-agent-skills.git /tmp/mapbox-agent-skills
mkdir -p .claude/skills
cp -r /tmp/mapbox-agent-skills/skills/mapbox-ios-patterns .claude/skills/mapbox-ios-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mapbox Ios Patterns 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 Mapbox Ios Patterns 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 Mapbox Ios Patterns 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.

Mapbox iOS Integration Patterns

Official patterns for integrating Mapbox Maps SDK v11 on iOS with Swift, SwiftUI, and UIKit.

Use this skill when:

  • Installing and configuring Mapbox Maps SDK for iOS
  • Adding markers and annotations to maps
  • Showing user location and tracking with camera
  • Adding custom data (GeoJSON) to maps
  • Working with map styles, camera, or user interaction
  • Handling feature interactions and taps

Official Resources:


Installation & Setup

Requirements

  • iOS 14+
  • Xcode 15+
  • Swift 5.9+
  • Free Mapbox account

Step 1: Configure Access Token

Add your public token to Info.plist:

xml
<key>MBXAccessToken</key>
<string>pk.your_mapbox_token_here</string>

Get your token: Sign in at mapbox.com

Step 2: Add Swift Package Dependency

  1. File → Add Package Dependencies
  2. Enter URL: https://github.com/mapbox/mapbox-maps-ios.git
  3. Version: "Up to Next Major" from 11.0.0
  4. Verify four dependencies appear: MapboxCommon, MapboxCoreMaps, MapboxMaps, Turf

Alternative: CocoaPods or direct download (install guide)


Map Initialization

SwiftUI Pattern

Basic map:

swift
import SwiftUI
import MapboxMaps

struct ContentView: View {
    @State private var viewport: Viewport = .camera(
        center: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194),
        zoom: 12
    )

    var body: some View {
        Map(viewport: $viewport)
            .mapStyle(.standard)
    }
}

With ornaments:

swift
Map(viewport: $viewport)
    .mapStyle(.standard)
    .ornamentOptions(OrnamentOptions(
        scaleBar: .init(visibility: .visible),
        compass: .init(visibility: .adaptive),
        logo: .init(position: .bottomLeading)
    ))

UIKit Pattern

swift
import UIKit
import MapboxMaps

class MapViewController: UIViewController {
    private var mapView: MapView!

    override func viewDidLoad() {
        super.viewDidLoad()

        let options = MapInitOptions(
            cameraOptions: CameraOptions(
                center: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194),
                zoom: 12
            )
        )

        mapView = MapView(frame: view.bounds, mapInitOptions: options)
        mapView.autoresizingMask = [.flexibleWidth, .flexibleHeight]
        view.addSubview(mapView)

        mapView.mapboxMap.loadStyle(.standard)
    }
}

Add Markers

The SDK offers three ways to place a point on the map. Pick the simplest one that fits.

Agent note: A SwiftUI Mapbox sketch is incomplete without at least one annotation (Marker, PointAnnotation, or MapViewAnnotation). Do not ship a bare Map { } with no pin.

Which API should I use?

APIUse it whenPlatformsNotes
Marker (Markers API)You need a default pin and don't have a custom image assetSwiftUI onlyNo image assets required. Experimental SPI — needs @_spi(Experimental) import MapboxMaps. Best < 100 markers.
PointAnnotationYou have a custom image and want layer-level placementSwiftUI + UIKitBacked by a symbol layer, so it scales well to hundreds of markers. Accepts any UIImage that UIKit can render.
View annotations (ViewAnnotation / MapViewAnnotation)You want to render a full native view (card, badge, animated content) anchored to a coordinateSwiftUI + UIKitSwiftUI uses MapViewAnnotation; UIKit uses mapView.viewAnnotations with a ViewAnnotation. Each annotation is a real view — costs more than PointAnnotation at scale.

For hundreds or thousands of features, use a style layer (SymbolLayer on a GeoJSONSource) instead of annotations.

Markers API (recommended for simple cases, SwiftUI)

swift
import SwiftUI
@_spi(Experimental) import MapboxMaps

struct ContentView: View {
    var body: some View {
        Map {
            Marker(coordinate: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194))
                .color(.red)
                .text("San Francisco")
        }
    }
}

Multiple markers from a collection:

swift
Map {
    ForEvery(locations, id: \.id) { location in
        Marker(coordinate: location.coordinate)
            .color(.red)
            .text(location.name)
    }
}

Scaling note. Marker and PointAnnotation each create their own view or symbol entry per pin — fine up to about 100 markers. For larger datasets (hundreds or thousands of features — common with open-ended GeoJSON feeds), load the data into a GeoJSONSource and render it with a SymbolLayer instead. That scales to thousands of features and enables clustering.

PointAnnotation (custom image)

SwiftUI:

swift
Map(viewport: $viewport) {
    PointAnnotation(coordinate: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194))
        .image(.init(image: UIImage(named: "marker")!, name: "marker"))
}

UIKit:

swift
// Create annotation manager (once, reuse for updates)
var pointAnnotationManager = mapView.annotations.makePointAnnotationManager()

// Create marker
var annotation = PointAnnotation(coordinate: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194))
annotation.image = .init(image: UIImage(named: "marker")!, name: "marker")
annotation.iconAnchor = .bottom

// Add to map
pointAnnotationManager.annotations = [annotation]

Multiple markers:

swift
let annotations = locations.map { coordinate in
    var annotation = PointAnnotation(coordinate: coordinate)
    annotation.image = .init(image: UIImage(named: "marker")!, name: "marker")
    return annotation
}

pointAnnotationManager.annotations = annotations

Show User Location

Step 1: Add location permission to Info.plist:

xml
<key>NSLocationWhenInUseUsageDescription</key>
<string>Show your location on the map</string>

Step 2: Request permissions and show location:

swift
import CoreLocation

// Request permissions
let locationManager = CLLocationManager()
locationManager.requestWhenInUseAuthorization()

// Show user location puck
mapView.location.options.puckType = .puck2D()
mapView.location.options.puckBearingEnabled = true

Performance Best Practices

Reuse Annotation Managers

swift
// ❌ Don't create new managers repeatedly
func updateMarkers() {
    let manager = mapView.annotations.makePointAnnotationManager()
    manager.annotations = markers
}

// ✅ Create once, reuse
let pointAnnotationManager: PointAnnotationManager

init() {
    pointAnnotationManager = mapView.annotations.makePointAnnotationManager()
}

func updateMarkers() {
    pointAnnotationManager.annotations = markers
}

Batch Annotation Updates

swift
// ✅ Update all at once
pointAnnotationManager.annotations = newAnnotations

// ❌ Don't update one by one
for annotation in newAnnotations {
    pointAnnotationManager.annotations.append(annotation)
}

Memory Management

swift
// Use weak self in closures
mapView.gestures.onMapTap.observe { [weak self] context in
    self?.handleTap(context.coordinate)
}.store(in: &cancelables)

// Clean up on deinit
deinit {
    cancelables.forEach { $0.cancel() }
}

Use Standard Style

swift
// ✅ Standard style is optimized and recommended
.mapStyle(.standard)

// Use other styles only when needed for specific use cases
.mapStyle(.standardSatellite) // Satellite imagery

Troubleshooting

Map Not Displaying

Check:

  1. MBXAccessToken in Info.plist
  2. ✅ Token is valid (test at mapbox.com)
  3. ✅ MapboxMaps framework imported
  4. ✅ MapView added to view hierarchy
  5. ✅ Correct frame/constraints set

Style Not Loading

swift
mapView.mapboxMap.onStyleLoaded.observe { [weak self] _ in
    print("Style loaded successfully")
    // Add layers and sources here
}.store(in: &cancelables)

Performance Issues

  • Use .standard style (recommended and optimized)
  • Limit visible annotations to viewport
  • Reuse annotation managers
  • Avoid frequent style reloads
  • Batch annotation updates

Reference Files

Load these references when the task requires deeper patterns:

  • references/annotations.md — Circle, Polyline, Polygon Annotations
  • references/location-tracking.md — Camera Follow User + Get Current Location
  • references/custom-data.md — GeoJSON: Lines, Polygons, Points, Update/Remove
  • references/camera-styles.md — Camera Control + Map Styles
  • references/interactions.md — Featureset Interactions, Custom Layer Taps, Long Press, Gestures

Additional Resources

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 Mapbox Ios Patterns AI skill do?

Official integration patterns for Mapbox Maps SDK on iOS. Covers installation, adding markers, user location, custom data, styles, camera control, and featureset interactions. Based on official Mapbox documentation.

Why use Mapbox Ios Patterns on TypingMind?

Because you install it once and use it with any model. Mapbox Ios Patterns 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 Mapbox Ios Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mapbox/mapbox-agent-skills/tree/main/skills/mapbox-ios-patterns. 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 Mapbox Ios Patterns?

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 Mapbox Ios Patterns?

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

Is the Mapbox Ios Patterns AI skill free?

Yes. It is published on GitHub by mapbox under the MIT license. 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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