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Mapbox Data Visualization Patterns

Official
mapbox·vlatest·data·MIT

Helps with data, patterns as part of data analysis and analytics workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mapbox/mapbox-agent-skills --skill mapbox-data-visualization-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mapbox

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mapbox/mapbox-agent-skills at f71cd72b8d.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f71cd72b8d
Manifest
skills/mapbox-data-visualization-patterns/SKILL.md
Scanned
9 files, 1,648 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The mapbox-data-visualization-patterns skill provides AI agents with access to a curated library of proven design patterns for creating effective maps. It enables the generation of interactive, data-driven visualizations that adhere to best practices in cartography and user experience.

When to use it

  • Transforming raw geospatial datasets into clear, actionable insights for stakeholders.
  • Designing dashboards that require complex layering of demographic or environmental data.
  • Creating accessible map interfaces for public-facing applications or reports.
  • Rapidly prototyping visualization concepts without needing deep expertise in cartographic theory.

Key capabilities

  • Access to a repository of established design patterns specifically for map rendering.
  • Guidance on structuring data to optimize visual clarity and performance.
  • Integration of aesthetic principles that enhance readability and user engagement.
  • Support for generating code or configurations that implement these specific visualization styles.

Example prompts

  • "Generate a heatmap pattern using mapbox-data-visualization-patterns to show population density in urban areas."
  • "Apply the 'choropleth' design pattern from the library to visualize election results by county."
  • "Create an interactive route map visualization following best practices for multi-modal transport data."

Tips & gotchas

Ensure your input data is clean and georeferenced correctly, as these patterns rely on accurate spatial coordinates to render effectively. While the skill offers strong design guidance, it may require additional configuration steps depending on the specific Mapbox API version you are integrating with.