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Mapbox Style Patterns

Organization
mapbox
mapbox-style-patterns

Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, delivery/logistics, and more. Use when implementing specific map use cases or looking for proven style patterns.

Overview

Publishermapbox
Repositorymapbox-agent-skills
Skill namemapbox-style-patterns
Stars
78
Forks
17
Bundled files
10
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.

  • 10 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 Style 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-style-patterns .claude/skills/mapbox-style-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mapbox Style 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 Style 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 Style 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 Style Patterns Skill

This skill provides battle-tested style patterns and layer configurations for common mapping scenarios.

Pattern Library

Pattern 1: Restaurant/POI Finder

Use case: Consumer app showing restaurants, cafes, bars, or other points of interest

Visual requirements:

  • POIs must be immediately visible
  • Street context for navigation
  • Neutral background (photos/content overlay)
  • Mobile-optimized

Recommended layers:

json
{
  "layers": [
    {
      "id": "background",
      "type": "background",
      "paint": {
        "background-color": "#f5f5f5"
      }
    },
    {
      "id": "water",
      "type": "fill",
      "source": "mapbox-streets",
      "source-layer": "water",
      "paint": {
        "fill-color": "#d4e4f7",
        "fill-opacity": 0.6
      }
    },
    {
      "id": "landuse-parks",
      "type": "fill",
      "source": "mapbox-streets",
      "source-layer": "landuse",
      "filter": ["==", "class", "park"],
      "paint": {
        "fill-color": "#e8f5e8",
        "fill-opacity": 0.5
      }
    },
    {
      "id": "roads-minor",
      "type": "line",
      "source": "mapbox-streets",
      "source-layer": "road",
      "filter": ["in", "class", "street", "street_limited"],
      "paint": {
        "line-color": "#e0e0e0",
        "line-width": {
          "base": 1.5,
          "stops": [
            [12, 0.5],
            [15, 2],
            [18, 6]
          ]
        }
      }
    },
    {
      "id": "roads-major",
      "type": "line",
      "source": "mapbox-streets",
      "source-layer": "road",
      "filter": ["in", "class", "primary", "secondary", "tertiary"],
      "paint": {
        "line-color": "#ffffff",
        "line-width": {
          "base": 1.5,
          "stops": [
            [10, 1],
            [15, 4],
            [18, 12]
          ]
        }
      }
    },
    {
      "id": "restaurant-markers",
      "type": "symbol",
      "source": "restaurants",
      "layout": {
        "icon-image": "restaurant-15",
        "icon-size": 1.5,
        "icon-allow-overlap": false,
        "text-field": ["get", "name"],
        "text-offset": [0, 1.5],
        "text-size": 12,
        "text-allow-overlap": false
      },
      "paint": {
        "icon-color": "#FF6B35",
        "text-color": "#333333",
        "text-halo-color": "#ffffff",
        "text-halo-width": 2
      }
    }
  ]
}

Key features:

  • Desaturated base map (doesn't compete with photos)
  • High-contrast markers (#FF6B35 orange stands out)
  • Clear road network (white on light gray)
  • Parks visible but subtle
  • Text halos for readability

Pattern Selection Guide

Decision Tree

Question 1: What is the primary content?

  • User-generated markers/pins -> POI Finder Pattern
  • Property data/boundaries -> Real Estate Pattern
  • Statistical/analytical data -> Data Visualization Pattern
  • Routes/directions -> Navigation Pattern
  • Real-time tracking/delivery zones -> Delivery/Logistics Pattern (customer markers should include a pulse animation via second circle layer + requestAnimationFrame + setPaintProperty; see references/delivery-logistics.md)

Question 2: What is the viewing environment?

  • Daytime/office -> Light theme
  • Night/dark environment -> Dark Mode Pattern
  • Variable -> Provide theme toggle

Question 3: What is the user's primary action?

  • Browse/explore -> Focus on POIs, rich detail
  • Navigate -> Focus on roads, route visibility
  • Track delivery/logistics -> Real-time updates, zones, status
  • Analyze data -> Minimize base map, maximize data
  • Select location -> Clear boundaries, context

Question 4: What is the platform?

  • Mobile -> Simplified, larger touch targets, less detail
  • Desktop -> Can include more detail and complexity
  • Both -> Design mobile-first, enhance for desktop

Layer Optimization Patterns

Performance Pattern: Simplified by Zoom

json
{
  "id": "roads",
  "type": "line",
  "source": "mapbox-streets",
  "source-layer": "road",
  "filter": [
    "step",
    ["zoom"],
    ["in", "class", "motorway", "trunk"],
    8,
    ["in", "class", "motorway", "trunk", "primary"],
    12,
    ["in", "class", "motorway", "trunk", "primary", "secondary"],
    14,
    true
  ],
  "paint": {
    "line-width": {
      "base": 1.5,
      "stops": [
        [4, 0.5],
        [10, 1],
        [15, 4],
        [18, 12]
      ]
    }
  }
}

Reference Files

Additional patterns and configurations are available in the references/ directory. Load the relevant file when a specific pattern is needed.

FileContents
references/real-estate.mdPattern 2: Real Estate Map -- property boundaries, price color-coding, amenity markers
references/data-viz-base.mdPattern 3: Data Visualization Base Map -- minimal grayscale base for choropleth/heatmap overlays
references/navigation.mdPattern 4: Navigation/Routing Map -- route display, user location, turn arrows
references/dark-mode.mdPattern 5: Dark Mode / Night Theme -- near-black background, reduced brightness
references/delivery-logistics.mdPattern 6: Delivery/Logistics Map -- real-time tracking, zones, driver markers, ETA badges
references/expressions-clustering.mdData-driven expression patterns + clustering for dense POIs
references/common-modifications.md3D Buildings, Terrain/Hillshade, Custom Markers
references/interactions.mdaddInteraction vs setFeatureState vs appearances -- how they fit together and when to use each

Loading instructions: Read the reference file that matches the user's use case. For example, if implementing a delivery tracking map, load references/delivery-logistics.md.

Testing Patterns

Visual Regression Checklist

  • Test at zoom levels: 4, 8, 12, 16, 20
  • Verify on mobile (375px width)
  • Verify on desktop (1920px width)
  • Test with dense data
  • Test with sparse data
  • Check label collision
  • Verify color contrast (WCAG)
  • Test loading performance

When to Use This Skill

Invoke this skill when:

  • Starting a new map style for a specific use case
  • Looking for layer configuration examples
  • Implementing common mapping patterns
  • Optimizing existing styles
  • Need proven recipes for typical scenarios
  • Debugging style issues
  • Learning Mapbox style best practices

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 Style Patterns AI skill do?

Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, delivery/logistics, and more. Use when implementing specific map use cases or looking for proven style patterns.

Why use Mapbox Style Patterns on TypingMind?

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

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

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

Is the Mapbox Style 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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