Comprehensive patterns for building store locators, restaurant finders, and location-based search applications with Mapbox GL JS. Covers marker display, filtering, distance calculation, interactive lists, and directions integration.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmapbox-store-locator-patternsExecute the skills CLI command in your project's root directory to begin installation:
Fetches mapbox-store-locator-patterns from mapbox/mapbox-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate mapbox-store-locator-patterns. Access via /mapbox-store-locator-patterns in your agent's command palette.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Comprehensive patterns for building store locators, restaurant finders, and location-based search applications with Mapbox GL JS. Covers marker display, filtering, distance calculation, interactive lists, and directions integration.
Use this skill when building applications that:
Required:
Installation:
npm install mapbox-gl @turf/turf
A typical store locator consists of:
mapboxgl.GeolocateControl — simpler than custom markers.GeoJSON format for locations:
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [-77.034084, 38.909671]
},
"properties": {
"id": "store-001",
"name": "Downtown Store",
"address": "123 Main St, Washington, DC 20001",
"phone": "(202) 555-0123",
"hours": "Mon-Sat: 9am-9pm, Sun: 10am-6pm",
"category": "retail",
"website": "https://example.com/downtown"
}
}
]
}
Key properties:
id - Unique identifier for each locationname - Display nameaddress - Full address for display and geocodingcoordinates - [longitude, latitude] formatcategory - For filtering (retail, restaurant, office, etc.)import mapboxgl from 'mapbox-gl';
import 'mapbox-gl/dist/mapbox-gl.css';
mapboxgl.accessToken = 'YOUR_MAPBOX_ACCESS_TOKEN';
// Store locations data
const stores = {
type: 'FeatureCollection',
features: [
{
type: 'Feature',
geometry: {
type: 'Point',
coordinates: [-77.034084, 38.909671]
},
properties: {
id: 'store-001',
name: 'Downtown Store',
address: '123 Main St, Washington, DC 20001',
phone: '(202) 555-0123',
category: 'retail'
}
}
// ... more stores
]
};
const map = new mapboxgl.Map({
container: 'map',
style: 'mapbox://styles/mapbox/standard',
center: [-77.034084, 38.909671],
zoom: 11
});
Marker strategy by location count:
| Count | Strategy | Reason |
|---|---|---|
| Fewer than 100 | HTML Markers | Full DOM/CSS control; DOM node count is manageable |
| 100–1,000 | Symbol Layer (default) | Renders on the GPU via WebGL — one <canvas>, zero per-point DOM elements |
| More than 1,000 | Clustering | Reduces visual clutter at large scale |
HTML Markers create one DOM element per point. Beyond ~100 locations the browser spends too much time on layout/paint. Symbol layers bypass the DOM entirely — the GPU draws all points in a single WebGL draw call.
Symbol Layer implementation (best for 100–1,000 locations). For HTML Markers (fewer than 100) or Clustering (more than 1,000), see references/markers.md.
map.on('load', () => {
// Add store data as source
map.addSource('stores', {
type: 'geojson',
data: stores
});
// Add custom marker image
map.loadImage('/marker-icon.png', (error, image) => {
if (error) throw error;
map.addImage('custom-marker', image);
// Add symbol layer
map.addLayer({
id: 'stores-layer',
type: 'symbol',
source: 'stores',
layout: {
'icon-image': 'custom-marker',
'icon-size': 0.8,
'icon-allow-overlap': true,
'text-field': ['get', 'name'],
'text-font': ['Open Sans Bold', 'Arial Unicode MS Bold'],
'text-offset': [0, 1.5],
'text-anchor': 'top',
'text-size': 12
}
});
});
// Handle marker clicks using Interactions API (recommended)
map.addInteraction('store-click', {
type: 'click',
target: { layerId: 'stores-layer' },
handler: (e) => {
const store = e.feature;
flyToStore(store);
createPopup(store);
}
});
// Or using traditional event listener:
// map.on('click', 'stores-layer', (e) => {
// const store = e.features[0];
// flyToStore(store);
// createPopup(store);
// });
// Change cursor on hover
map.on('mouseenter', 'stores-layer', () => {
map.getCanvas().style.cursor = 'pointer';
})✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.8★★★★★27 reviews- XXiao Thomas★★★★★Dec 20, 2024
Registry listing for mapbox-store-locator-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- PPratham Ware★★★★★Dec 12, 2024
Useful defaults in mapbox-store-locator-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- YYash Thakker★★★★★Nov 3, 2024
mapbox-store-locator-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- DDhruvi Jain★★★★★Oct 22, 2024
Keeps context tight: mapbox-store-locator-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAmina Robinson★★★★★Sep 13, 2024
mapbox-store-locator-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ZZaid Kim★★★★★Sep 1, 2024
Solid pick for teams standardizing on skills: mapbox-store-locator-patterns is focused, and the summary matches what you get after install.
- HHarper Jackson★★★★★Aug 20, 2024
mapbox-store-locator-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- NNaina Nasser★★★★★Aug 4, 2024
Solid pick for teams standardizing on skills: mapbox-store-locator-patterns is focused, and the summary matches what you get after install.
- HHarper Thompson★★★★★Jul 7, 2024
mapbox-store-locator-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAdvait Jackson★★★★★Jun 26, 2024
We added mapbox-store-locator-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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