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Mapbox Style Quality

Official
mapbox·vlatest·other·MIT

This skill assesses Mapbox Styles for visual consistency and adherence to best practices, ensuring high-quality maps for your projects.

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-style-quality -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.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    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-style-quality/SKILL.md
Scanned
6 files, 763 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

mapbox-style-quality

What it does

This skill enables AI agents to generate high-fidelity, production-ready Mapbox styles directly from natural language descriptions. It translates user intent into optimized style configurations that adhere to Mapbox's design standards and technical constraints.

When to use it

  • Rapidly prototyping map visualizations for dashboards or web applications without manual JSON editing.
  • Converting descriptive requirements (e.g., "dark mode for cycling") into functional style definitions.
  • Ensuring generated styles maintain consistency with Mapbox's ecosystem and performance best practices.

Key capabilities

  • Natural language to Mapbox Style Specification conversion.
  • Automatic optimization of layer properties and paint expressions.
  • Generation of valid, deployable JSON style objects.
  • Adherence to Mapbox design guidelines for visual coherence.

Example prompts

  • "Create a dark-themed map style optimized for night-time navigation with high contrast roads."
  • "Generate a style that highlights public transit routes in blue and parks in green for a city overview."
  • "Produce a minimalist style focusing on topography with muted colors for an outdoor hiking app."

Tips & gotchas

Ensure your natural language descriptions are specific regarding color palettes, layer visibility, and data sources to achieve the desired output. While the skill handles optimization, complex custom logic may still require manual refinement in the Mapbox Studio interface.