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Agent Skill · 研究检索

mapbox-cartography(地图盒制图)

mapbox-cartography 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

mapbox-cartography 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 40,169。

总安装 1,320周安装 55GitHub Stars 44下载 440核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mapbox-cartography(地图盒制图)
来源仓库:https://github.com/mapbox/mcp-devkit-server
仓库路径:skills/mapbox-cartography
安装命令:
npx skills add https://github.com/mapbox/mcp-devkit-server --skill mapbox-cartography
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/mapbox/mcp-devkit-server --skill mapbox-cartography

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

mapbox-cartography 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。它支持通过关键词、任务场景或来源线索进行信息检索与筛选。

可通过 npx skills add 命令从指定 GitHub 仓库安装并使用。建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/mapbox-cartography

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mapbox/mcp-devkit-server --skill mapbox-cartog…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mapbox-cartography 怎么安装?

在终端执行 npx skills add https://github.com/mapbox/mcp-devkit-server --skill mapbox-cartography。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mapbox-cartography 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mapbox-cartography 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

mapbox-cartography 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

mapbox-cartography 用的人多吗?

公开数据是累计安装 1,320 次,近一周安装 55 次,下载 440 次,GitHub 44 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mapbox-cartography 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
mapbox-cartography

地图盒制图 · 本页

1,32044需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Mapbox Cartography Skill

This skill provides expert cartographic knowledge to help you design effective, beautiful, and functional maps using Mapbox.

Core Cartographic Principles

Visual Hierarchy

Maps must guide the viewer's attention to what matters most:

  • Most important: POIs, user location, route highlights
  • Secondary: Major roads, city labels, landmarks
  • Tertiary: Minor streets, administrative boundaries
  • Background: Water, land use, terrain

Implementation:

  • Use size, color intensity, and contrast to establish hierarchy
  • Primary features: high contrast, larger symbols, bold colors
  • Background features: low contrast, muted colors, smaller text

Color Theory for Maps

Color Harmony:

  • Analogous colors: Use colors next to each other on color wheel (blue-green-teal) for cohesive designs
  • Complementary colors: Use opposite colors (blue/orange, red/green) for high contrast emphasis
  • Monochromatic: Single hue with varying saturation/brightness for elegant, minimal designs

Color Psychology:

  • Blue: Water, trust, calm, professional (default for water bodies)
  • Green: Parks, nature, growth, eco-friendly (vegetation, parks)
  • Red/Orange: Urgent, important, dining (alerts, restaurants)
  • Yellow: Caution, highlight, attention (warnings, selected items)
  • Gray: Neutral, background, roads (infrastructure)

Accessibility:

  • Ensure 4.5:1 contrast ratio for text (WCAG AA)
  • Don't rely solely on color to convey information
  • Test designs with colorblind simulators
  • Avoid red/green combinations for critical distinctions

Typography Best Practices

Font Selection:

  • Sans-serif (Roboto, Open Sans): Modern, clean, high legibility at small sizes - use for labels
  • Serif (Noto Serif): Traditional, formal - use sparingly for titles or historic maps
  • Monospace: Technical data, coordinates

Text Sizing:

Place labels (cities, POIs): 11-14px
Street labels: 9-11px
Feature labels (parks): 10-12px
Map title: 16-20px
Attribution: 8-9px

Label Placement:

  • Point labels: Center or slightly offset (avoid overlap with symbol)
  • Line labels: Follow line curve, repeat for long features
  • Area labels: Center in polygon, sized appropriately
  • Prioritize: Major features get labels first, minor features labeled if space allows

Map Context Considerations

Know Your Audience:

  • General public: Simplify, use familiar patterns (Google/Apple style)
  • Technical users: Include more detail, technical layers, data precision
  • Domain experts: Show specialized data, use domain-specific symbology

Use Case Optimization:

  • Navigation: Emphasize roads, clear hierarchy, route visibility
  • Data visualization: Muted base map, let data stand out
  • Storytelling: Guide viewer attention, establish mood with colors
  • Location selection: Show POIs clearly, provide context
  • Analysis: Include relevant layers, maintain clarity at different zooms

Platform Considerations:

  • Mobile: Larger touch targets (44x44px minimum), simpler designs, readable at arm's length
  • Desktop: Can include more detail, hover interactions, complex overlays
  • Print: Higher contrast, larger text, consider CMYK color space
  • Outdoor/Bright: Higher contrast, avoid subtle grays

Mapbox-Specific Guidance

Style Layer Best Practices

Layer Ordering (bottom to top):

  1. Background (solid color or pattern)
  2. Landuse (parks, residential, commercial)
  3. Water bodies (oceans, lakes, rivers)
  4. Terrain/hillshade (if using elevation)
  5. Buildings (3D or 2D footprints)
  6. Roads (highways → local streets)
  7. Borders (country, state lines)
  8. Labels (place names, street names)
  9. POI symbols
  10. User-generated content (routes, markers)

Zoom Level Strategy

Zoom 0-4 (World to Continent):

  • Major country boundaries
  • Ocean and sea labels
  • Capital cities only

Zoom 5-8 (Country to State):

  • State/province boundaries
  • Major cities
  • Major highways
  • Large water bodies

Zoom 9-11 (Metro Area):

  • City boundaries
  • Neighborhoods
  • All highways and major roads
  • Parks and landmarks

Zoom 12-15 (Neighborhood):

  • All streets
  • Building footprints
  • POIs (restaurants, shops)
  • Street names

Zoom 16-22 (Street Level):

  • All detail
  • House numbers
  • Parking lots
  • Fine-grained POIs

Color Palette Templates

Light Theme (Day/Professional):

{
  "background": "#f5f5f5",
  "water": "#a0c8f0",
  "parks": "#d4e7c5",
  "roads": "#ffffff",
  "buildings": "#e0e0e0",
  "text": "#333333"
}

Dark Theme (Night Mode):

{
  "background": "#1a1a1a",
  "water": "#0d47a1",
  "parks": "#2e7d32",
  "roads": "#3a3a3a",
  "buildings": "#2d2d2d",
  "text": "#ffffff"
}

High Contrast (Accessibility):

{
  "background": "#000000",
  "water": "#0066ff",
  "parks": "#00ff00",
  "roads": "#ffffff",
  "buildings": "#808080",
  "text": "#ffffff"
}

Vintage/Retro:

{
  "background": "#f4e8d0",
  "water": "#b8d4d4",
  "parks": "#c8d4a4",
  "roads": "#d4c4a8",
  "buildings": "#e4d4c4",
  "text": "#4a3828"
}

Common Mapping Scenarios

Scenario: Restaurant Finder App

Requirements:

  • Restaurants must be highly visible
  • Street context for navigation
  • Muted background (food photos overlay)

Recommendations:

  • Use bold, warm colors for restaurant markers (red, orange)
  • Gray out background (low saturation)
  • Keep street labels clear but not dominant
  • High contrast for selected restaurant
  • Mobile-optimized touch targets

Scenario: Real Estate Map

Requirements:

  • Property boundaries clearly visible
  • Neighborhood context
  • Price differentiation

Recommendations:

  • Use color scale for price ranges (green=affordable, red=expensive)
  • Show parks and amenities prominently
  • Include school zones if relevant
  • Label neighborhoods clearly
  • Show transit access

Scenario: Data Visualization Overlay

Requirements:

  • Data layer is primary focus
  • Base map provides context only
  • Multiple data points may cluster

Recommendations:

  • Monochromatic, low-contrast base map
  • Use data-ink ratio principle (minimize non-data elements)
  • Base map grayscale or single muted hue
  • Remove unnecessary labels
  • Consider using light base for dark data, vice versa

Scenario: Navigation/Routing

Requirements:

  • Route must be unmissable
  • Turn-by-turn clarity
  • Current location always visible

Recommendations:

  • Route in high-contrast color (blue or purple)
  • Animate route line or use dashed pattern
  • Large, clear turn indicators
  • Dim unrelated features
  • User location: pulsing blue dot
  • Next turn: prominent arrow/icon

Performance Optimization

Style Performance:

  • Minimize layer count (combine similar layers)
  • Use expressions instead of multiple layers for variants
  • Simplify complex geometries at lower zooms
  • Use sprite sheets for repeated icons
  • Leverage tileset simplification

Loading Speed:

  • Preload critical zoom levels
  • Use style optimization tools
  • Minimize external resource calls
  • Compress images in sprite sheets

Testing Your Design

Checklist:

  • View at all relevant zoom levels
  • Test in different lighting conditions
  • Check on actual devices (mobile, desktop)
  • Verify color accessibility (colorblind.org)
  • Review with target users
  • Test with real data density
  • Check label collision/overlap
  • Verify performance on slower devices

Common Mistakes to Avoid

  1. Too many colors: Stick to 5-7 main colors maximum
  2. Insufficient contrast: Text must be readable
  3. Overcrowding: Not everything needs a label
  4. Ignoring zoom levels: Show appropriate detail for scale
  5. Poor label hierarchy: Organize by importance
  6. Inconsistent styling: Maintain visual consistency
  7. Neglecting performance: Complex styles slow rendering
  8. Forgetting mobile: Test on actual devices

When to Use This Skill

Invoke this skill when:

  • Designing a new map style
  • Choosing colors for map elements
  • Making decisions about visual hierarchy
  • Optimizing for specific use cases
  • Troubleshooting visibility issues
  • Ensuring accessibility
  • Creating themed maps (dark mode, vintage, etc.)

平台分布

Claude Code

28.65%
按下载量换算126

OpenCode

21.81%
按下载量换算96

Gemini CLI

17.32%
按下载量换算76

Antigravity

12.03%
按下载量换算53

Codex

6.75%
按下载量换算30

Cursor

3.03%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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