Padrões para visualizar dados em mapas, incluindo mapas coropléticos, mapas de calor, visualizações 3D, estilos orientados a dados e dados animados. Abrange tipos de camadas, escalas de cores e otimização de desempenho.
Esta skill fornece padrões e práticas recomendadas para criar visualizações de dados em mapas utilizando a plataforma Mapbox. Ela cobre diversos tipos de visualizações, como mapas coropléticos, mapas de calor, visualizações 3D e dados animados, além de estilos orientados a dados e otimização de desempenho. É útil para desenvolvedores que desejam criar mapas interativos e visualizações geoespaciais no navegador ou em aplicações mobile, utilizando tecnologias como Mapbox GL JS, Mapbox Studio e APIs relacionadas. A skill explica como escolher o tipo de camada adequado, configurar escalas de cores, lidar com dados temporais e otimizar a renderização para performance.
npx skills add https://github.com/mapbox/mapbox-agent-skills/tree/main/skills/mapbox-data-visualization-patternsInstalled? Explore more Imagem skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Padrões para visualizar dados em mapas, incluindo mapas coropléticos, mapas de calor, visualizações 3D, estilos orientados a dados e dados animados. Abrange tipos de camadas, escalas de cores e otimização de desempenho.
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.