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Found 23 Skills
Integration patterns for Mapbox MCP DevKit Server in AI coding assistants. Covers setup, style management, token management, validation workflows, and documentation access through MCP. Use when building Mapbox applications with AI coding assistance.
Integration patterns for Mapbox Maps SDK on Android with Kotlin, Jetpack Compose, lifecycle management, and mobile optimization best practices.
Security best practices for Mapbox access tokens, including scope management, URL restrictions, rotation strategies, and protecting sensitive data. Use when creating, managing, or advising on Mapbox token security.
Guide for migrating from MapLibre GL JS to Mapbox GL JS, covering API compatibility, token setup, style configuration, and the benefits of Mapbox's official support and ecosystem
Integration patterns for Mapbox Maps SDK on iOS with Swift, SwiftUI, UIKit, lifecycle management, and mobile optimization best practices.
Complete workflow for implementing Mapbox search in applications - from discovery questions to production-ready integration with best practices
Migrating from Mapbox GL JS to MapLibre GL JS — package and import changes, removing the access token, choosing tile sources, plugin equivalents, and what you gain or give up. Use when moving an existing Mapbox map to MapLibre.
Migration guide for developers moving from Google Maps Platform to Mapbox GL JS, covering API equivalents, pattern translations, and key differences
Expert guidance on map design principles, color theory, visual hierarchy, typography, and cartographic best practices for creating effective and beautiful maps with Mapbox. Use when designing map styles, choosing colors, or making cartographic decisions.
Compose Mapbox MCP tools to produce grounded, cited location-aware responses from live data instead of training data
Expert guidance on choosing the right Mapbox search tool and parameters for geocoding, POI search, and location discovery
Integration patterns for Mapbox MCP Server in AI applications and agent frameworks. Covers runtime integration with pydantic-ai, mastra, LangChain, and custom agents. Use when building AI-powered applications that need geospatial capabilities.