mapbox-ios-patterns

mapbox/mapbox-agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/mapbox/mapbox-agent-skills --skill mapbox-ios-patterns
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summary

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

skill.md

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 12+
  • Xcode 15+
  • Swift 5.9+
  • Free Mapbox account

Step 1: Configure Access Token

Add your public token to Info.plist:

<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 (iOS 13+)

Basic map:

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:

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

UIKit Pattern

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 (Point Annotations)

Point annotations are the most common way to mark locations on the map.

SwiftUI:

Map(viewport: $viewport) {
    PointAnnotation(coordinate: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194))
        .iconImage("custom-marker")
}

UIKit:

// 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:

let locations = [
    CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194),
    CLLocationCoordinate2D(latitude: 37.7849, longitude: -122.4094),
    CLLocationCoordinate2D(latitude: 37.7649, longitude: -122.4294)
]

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:

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

Step 2: Request permissions and show location:

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

// ❌ 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
how to use mapbox-ios-patterns

How to use mapbox-ios-patterns on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add mapbox-ios-patterns
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/mapbox/mapbox-agent-skills --skill mapbox-ios-patterns

The skills CLI fetches mapbox-ios-patterns from GitHub repository mapbox/mapbox-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/mapbox-ios-patterns

Reload or restart Cursor to activate mapbox-ios-patterns. Access the skill through slash commands (e.g., /mapbox-ios-patterns) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.862 reviews
  • Evelyn Desai· Dec 28, 2024

    I recommend mapbox-ios-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Shikha Mishra· Dec 24, 2024

    Useful defaults in mapbox-ios-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Thomas· Dec 24, 2024

    Useful defaults in mapbox-ios-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kofi Sethi· Dec 24, 2024

    mapbox-ios-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ishan Liu· Dec 8, 2024

    Keeps context tight: mapbox-ios-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Michael Gonzalez· Dec 8, 2024

    We added mapbox-ios-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kaira Kapoor· Nov 27, 2024

    I recommend mapbox-ios-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ren Huang· Nov 27, 2024

    mapbox-ios-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ren Wang· Nov 19, 2024

    Keeps context tight: mapbox-ios-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Nov 15, 2024

    mapbox-ios-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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