Skip to content
TrustedSkillsbeta
Back to all skills

Ux

Checked
kunhai-88·vlatest·frontend·MIT

Analyzes text for readability, accessibility, and user engagement, suggesting improvements for better UX.

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 kunhai-88/skills --skill ux -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

kunhai-88

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 kunhai-88/skills at 2742b5f777.

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

Manifest
ux/SKILL.md
Scanned
1 file, 191 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 provides User Experience (UX) design capabilities for AI agents. It can generate wireframes, user flows, and prototypes based on provided requirements or descriptions of a desired application. The skill aims to improve the usability and overall experience of digital products by focusing on user needs and interaction patterns.

When to use it

  • Rapid Prototyping: Quickly create initial mockups for new app features or website designs.
  • User Flow Visualization: Map out complex processes to identify potential bottlenecks or areas for improvement.
  • Wireframe Generation: Develop basic structural layouts for web pages or mobile screens based on functional requirements.
  • Usability Testing Preparation: Generate prototypes to test user interaction and gather feedback.

Key capabilities

  • Wireframe generation
  • User flow creation
  • Prototype development

Example prompts

  • "Create a wireframe for an e-commerce product page."
  • "Generate a user flow diagram for ordering food online."
  • "Develop a prototype of a mobile app onboarding experience."

Tips & gotchas

The quality of the output heavily relies on the clarity and detail provided in the prompt. Be specific about desired features, target users, and platform constraints to achieve optimal results.