Patrones para visualizar datos en mapas, incluyendo mapas coropléticos, mapas de calor, visualizaciones 3D, estilos basados en datos y datos animados. Cubre tipos de capas, escalas de color y optimización de rendimiento.
Este conjunto de habilidades proporciona patrones reutilizables para visualizar datos geoespaciales en Mapbox GL JS. Incluye implementaciones detalladas para mapas coropléticos, mapas de calor, visualizaciones 3D (como extrusiones de edificios), estilos basados en datos (data-driven styling) y representación de datos animados (por ejemplo, con intervalos de tiempo). Los patrones cubren la elección de escalas de color adecuadas (lineales, logarítmicas, cuantiles, etc.), la configuración de capas (fill, line, circle, fill-extrusion, heatmap) y estrategias de optimización de rendimiento (como el uso de `source-layer`, la agregación de datos y la reducción del número de peticiones de red). El conjunto de habilidades es ideal para desarrolladores que trabajan con Mapbox GL JS en la web, y proporciona fragmentos de código y principios de diseño para crear visualizaciones cartográficas efectivas, interactivas y de alto rendimiento.
npx skills add https://github.com/mapbox/mapbox-agent-skills/tree/main/skills/mapbox-data-visualization-patternsInstalled? Explore more Imagen skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Patrones para visualizar datos en mapas, incluyendo mapas coropléticos, mapas de calor, visualizaciones 3D, estilos basados en datos y datos animados. Cubre tipos de capas, escalas de color y optimización de rendimiento.
This repo contains 8 individual skills — each has its own dedicated page.
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.
Expert guidance on choosing the right geospatial tool based on problem type, accuracy requirements, and performance needs
Complete workflow for implementing Mapbox search in applications - from discovery questions to production-ready integration with best practices
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.
Expert guidance on validating, optimizing, and ensuring quality of Mapbox styles through validation, accessibility checks, and optimization. Use when preparing styles for production, debugging issues, or ensuring map quality standards.
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.
Official integration patterns for Mapbox GL JS across popular web frameworks (React, Vue, Svelte, Angular). Covers setup, lifecycle management, token handling, search integration, and common pitfalls. Based on Mapbox's create-web-app scaffolding tool.
Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.