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Mapbox Flutter Patterns

Organization
mapbox
mapbox-flutter-patterns

Official integration patterns for the Mapbox Maps Flutter SDK. Covers installation, iOS/Android platform setup, access token configuration, MapWidget initialization, camera control, annotations with tap handling, user location, and loading GeoJSON. Based on official Mapbox documentation.

Overview

Publishermapbox
Repositorymapbox-agent-skills
Skill namemapbox-flutter-patterns
Stars
78
Forks
17
Bundled files
4
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.

  • 4 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 Flutter 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-flutter-patterns .claude/skills/mapbox-flutter-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mapbox Flutter 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 Flutter 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 Flutter 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 Flutter Integration Patterns

Official patterns for integrating the Mapbox Maps SDK for Flutter (mapbox_maps_flutter) on iOS and Android with Dart.

Use this skill when:

  • Installing and configuring mapbox_maps_flutter in a Flutter app
  • Setting the Mapbox access token the right way
  • Initializing a MapWidget with camera / style options
  • Adding annotations (points, circles, lines, polygons) and handling taps
  • Showing the user location puck
  • Loading GeoJSON from app assets
  • Troubleshooting iOS build failures after adding Mapbox

Official Resources:

Web and desktop are not supported — the Flutter SDK targets iOS and Android only.


Installation & Setup

Requirements

  • Flutter SDK 3.22.3 / Dart 3.4.4+
  • iOS: deployment target 14.0 or higher
  • Android: minSdk 21 or higher
  • Free Mapbox account

Step 1: Add the dependency

yaml
# pubspec.yaml
dependencies:
  mapbox_maps_flutter: ^2.0.0
bash
flutter pub get

Step 2: Bump the iOS deployment target to 14.0 (required)

This is the single most common cause of iOS build failures after adding Mapbox. The Flutter SDK requires iOS 14.0 and will not compile on the Flutter default.

  1. Open ios/Runner.xcworkspace in Xcode.

  2. Select the Runner target → General → set Minimum Deployments → iOS to 14.0.

  3. If ios/Podfile exists, update the platform line too:

    ruby
    # ios/Podfile
    platform :ios, '14.0'

You do not need to worry about CocoaPods vs Swift Package Manager — mapbox_maps_flutter supports both and Flutter picks whichever your app is configured for.

Step 3: iOS location permission

Add the purpose string to ios/Runner/Info.plist:

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

Step 4: Android permissions

Add to android/app/src/main/AndroidManifest.xml:

xml
<uses-permission android:name="android.permission.ACCESS_FINE_LOCATION" />
<uses-permission android:name="android.permission.ACCESS_COARSE_LOCATION" />

Step 5: Configure the access token

The recommended pattern is to pass the token via --dart-define at build/run time and set it on MapboxOptions before creating any MapWidget.

bash
flutter run --dart-define=ACCESS_TOKEN=pk.your_token_here
dart
// main.dart
import 'package:flutter/material.dart';
import 'package:mapbox_maps_flutter/mapbox_maps_flutter.dart';

const accessToken = String.fromEnvironment('ACCESS_TOKEN');

void main() {
  MapboxOptions.setAccessToken(accessToken);
  runApp(const MaterialApp(home: MapScreen()));
}

Never hard-code tokens in source. For CI, pass --dart-define=ACCESS_TOKEN=$MAPBOX_ACCESS_TOKEN.


Map Initialization

Basic map

dart
import 'package:flutter/material.dart';
import 'package:mapbox_maps_flutter/mapbox_maps_flutter.dart';

class MapScreen extends StatelessWidget {
  const MapScreen({super.key});

  
  Widget build(BuildContext context) {
    return Scaffold(
      body: MapWidget(
        key: const ValueKey('mapWidget'),
        cameraOptions: CameraOptions(
          center: Point(coordinates: Position(-122.4194, 37.7749)),
          zoom: 12,
        ),
        styleUri: MapboxStyles.STANDARD,
      ),
    );
  }
}

Grab the MapboxMap controller

dart
class MapScreen extends StatefulWidget {
  const MapScreen({super.key});

  
  State<MapScreen> createState() => _MapScreenState();
}

class _MapScreenState extends State<MapScreen> {
  MapboxMap? mapboxMap;

  void _onMapCreated(MapboxMap controller) {
    mapboxMap = controller;
  }

  
  Widget build(BuildContext context) {
    return MapWidget(
      key: const ValueKey('mapWidget'),
      onMapCreated: _onMapCreated,
      cameraOptions: CameraOptions(
        center: Point(coordinates: Position(-122.4194, 37.7749)),
        zoom: 12,
      ),
    );
  }
}

Add Annotations

Use mapboxMap.annotations to create managers for point, circle, polyline, and polygon annotations. Managers are long-lived — create them once and reuse for updates.

Point annotations with a custom image

dart
import 'package:flutter/services.dart' show rootBundle;

PointAnnotationManager? pointAnnotationManager;

Future<void> _addMarkers(MapboxMap mapboxMap) async {
  pointAnnotationManager = await mapboxMap.annotations.createPointAnnotationManager();

  final bytes = await rootBundle.load('assets/marker.png');
  final imageBytes = bytes.buffer.asUint8List();

  final options = <PointAnnotationOptions>[
    PointAnnotationOptions(
      geometry: Point(coordinates: Position(-122.4194, 37.7749)),
      image: imageBytes,
      iconSize: 1.2,
    ),
    PointAnnotationOptions(
      geometry: Point(coordinates: Position(-122.4094, 37.7849)),
      image: imageBytes,
    ),
  ];

  await pointAnnotationManager!.createMulti(options);
}

Remember to register the asset in pubspec.yaml:

yaml
flutter:
  assets:
    - assets/marker.png

Tap handling

Use manager.tapEvents — this is the current API. addOnPointAnnotationClickListener is deprecated.

tapEvents returns a Cancelable that you store and invoke .cancel() on when the listener is no longer needed:

dart
final Cancelable tapSubscription = pointAnnotationManager!.tapEvents(
  onTap: (annotation) {
    debugPrint('Tapped annotation ${annotation.id}');
  },
);


void dispose() {
  tapSubscription.cancel();
  super.dispose();
}

The same pattern — returning a Cancelable — exists on every manager's longPressEvents and dragEvents, and across the other annotation types (CircleAnnotationManager.tapEvents, etc.).

Load annotations from GeoJSON

dart
import 'dart:convert';
import 'package:flutter/services.dart' show rootBundle;

Future<void> _loadGeoJson(MapboxMap mapboxMap) async {
  final raw = await rootBundle.loadString('assets/coffee_shops.geojson');
  final geo = jsonDecode(raw) as Map<String, dynamic>;
  final features = (geo['features'] as List).cast<Map<String, dynamic>>();

  final manager = await mapboxMap.annotations.createPointAnnotationManager();
  final icon = (await rootBundle.load('assets/coffee.png')).buffer.asUint8List();

  final options = features.map((feature) {
    final coords = feature['geometry']['coordinates'] as List;
    return PointAnnotationOptions(
      geometry: Point(coordinates: Position(coords[0] as double, coords[1] as double)),
      image: icon,
    );
  }).toList();

  await manager.createMulti(options);
}

For thousands of features use a style layer (GeoJsonSource + SymbolLayer) instead of annotations.


Show User Location

Permissions must already be granted (use permission_handler or similar) before enabling the puck.

dart
await mapboxMap.location.updateSettings(LocationComponentSettings(
  enabled: true,
  puckBearingEnabled: true,
  locationPuck: LocationPuck(
    locationPuck2D: DefaultLocationPuck2D(),
  ),
));

Camera Control

dart
// Instant jump
await mapboxMap.setCamera(CameraOptions(
  center: Point(coordinates: Position(-80.1263, 25.7845)),
  zoom: 14,
));

// Animated fly-to
await mapboxMap.flyTo(
  CameraOptions(
    center: Point(coordinates: Position(-80.1263, 25.7845)),
    zoom: 17,
    bearing: 180,
    pitch: 30,
  ),
  MapAnimationOptions(duration: 2000),
);

Troubleshooting

iOS build fails with "platform is lower than deployment target"

The Flutter default iOS deployment target is lower than Mapbox's minimum (iOS 14). Set Minimum Deployments → iOS to 14.0 on the Runner target in Xcode. If the project has an ios/Podfile, also set platform :ios, '14.0' there and re-run pod install.

setAccessToken not called

If you forget to call MapboxOptions.setAccessToken before creating a MapWidget, the map will load with a blank grid. Always call it in main() before runApp.

Annotation tap handler not firing

Make sure you're using manager.tapEvents(onTap: ...)addOnPointAnnotationClickListener is deprecated. Also confirm the MapboxMap controller is captured via onMapCreated before you create the annotation manager.

Hot reload after permissions change

iOS/Android will not re-read manifests or Info.plist on hot reload. Fully restart the app after editing permissions.


Reference Files

  • references/annotations.md — Circle, Polyline, Polygon patterns and GeoJSON source/layer recipes.
  • references/platform-setup.md — Deeper iOS/Android setup, token strategies, release signing notes.

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 Flutter Patterns AI skill do?

Official integration patterns for the Mapbox Maps Flutter SDK. Covers installation, iOS/Android platform setup, access token configuration, MapWidget initialization, camera control, annotations with tap handling, user location, and loading GeoJSON. Based on official Mapbox documentation.

Why use Mapbox Flutter Patterns on TypingMind?

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

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

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

Is the Mapbox Flutter 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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