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Mobile Design Director

Checked
kafka0000·vlatest·frontend

Helps with mobile development, design as part of building frontend UIs and user experiences workflows.

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 kafka0000/mobile-design-director --skill mobile-design-director -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

kafka0000

Taken from the source listing. We haven't verified who controls this account.

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 kafka0000/mobile-design-director at 06e6640d49.

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

Scanned
4 files, 523 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

What it does

This skill allows AI agents to act as a Mobile Design Director, providing guidance and feedback on mobile app design projects. It can evaluate designs based on usability principles, accessibility guidelines, and current industry best practices. The agent will offer suggestions for improvements related to user interface (UI) and user experience (UX).

When to use it

  • You need an expert opinion on a mobile app's UI/UX before launch.
  • You want to ensure your designs are accessible to users with disabilities.
  • You’re looking for feedback on the visual consistency and branding of your app.
  • You require help translating user research findings into actionable design improvements.

Key capabilities

  • UI/UX evaluation
  • Accessibility assessment
  • Industry best practices guidance
  • Branding consistency checks

Example prompts

  • "Please review this Figma prototype for a food delivery app and provide feedback on the checkout flow."
  • "Can you assess this mobile design for accessibility issues, specifically focusing on color contrast?"
  • "I'm redesigning my e-commerce app. What are some current trends in mobile UI that I should consider?"

Tips & gotchas

The agent’s effectiveness depends on the clarity and detail provided within the input designs or descriptions. Providing context about target users and business goals will improve the quality of feedback received.