mapbox-mcp-devkit-patterns

Manage CloudFront and S3 resources for efficient content delivery and web hosting.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/thehivegroup-ai/ai-development --skill mapbox-mcp-devkit-patterns-thehivegroup-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mapbox-mcp-devkit-patterns
Source: https://github.com/thehivegroup-ai/ai-development/tree/main/modules/stack-authorities/mapping/mapbox/skills/mapbox-mcp-devkit-patterns
Command: npx skills add https://github.com/thehivegroup-ai/ai-development --skill mapbox-mcp-devkit-patterns-thehivegroup-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mapbox, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complexity of working with Mapbox APIs by providing AI-assisted operations, simplifying style management, token generation, and data validation.

Core Features & Use Cases

  • Style Management: Create, update, and validate Mapbox styles with AI assistance.
  • Token Management: Generate and manage scoped tokens for different environments.
  • Data Validation: Validate GeoJSON, expressions, and coordinates for accuracy.
  • Use Case: Develop a real estate app with Mapbox styles. Use this Skill to create a style that emphasizes property boundaries, show parks, and use 3D buildings, then validate the GeoJSON data before deployment.

Quick Start

Use the mapbox-mcp-devkit-patterns skill to create a new Mapbox style for a real estate app.

Frequently Asked Questions about mapbox-mcp-devkit-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate GeoJSON data and Mapbox expressions before deploying an application?

Validating GeoJSON data and Mapbox expressions requires checking data integrity and coordinate accuracy. This skill provides AI-assisted data validation to ensure your geographic data conforms to required formats before application deployment.

What is the best way to generate scoped Mapbox access tokens for different development environments?

Generating scoped Mapbox access tokens for different environments involves creating tokens with specific permissions. This skill automates token management, allowing you to generate and manage tokens tailored to your development workflow requirements.

Can I use AI assistance to create and update custom Mapbox styles for a real estate app?

Creating and updating custom Mapbox styles for a real estate app is supported through AI-assisted style management. You can customize styles to emphasize property boundaries, show parks, and render 3D buildings directly via Mapbox API endpoints.

Do I need a Mapbox account to use AI-assisted API operations for style management and data validation?

A Mapbox account and a valid access token are required to use these AI-assisted API operations. You must have existing Mapbox credentials to perform style management, token generation, and data validation tasks within your development workflow.

Why does Mapbox style management require data validation checks during development?

Mapbox style management requires data validation to maintain geographic data integrity and prevent rendering errors. Validating GeoJSON, expressions, and coordinates ensures that your custom styles display accurately when deployed to production environments.

Does the mapbox-mcp-devkit-patterns skill support validation for both coordinates and map expressions?

The mapbox-mcp-devkit-patterns skill supports validation for GeoJSON, map expressions, and coordinates. It provides comprehensive data integrity checks to ensure your geographic data and styling logic are accurate before API deployment.