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Ux Review

Checked
nickcrew·vlatest·frontend·MIT

Helps with UX design, code review as part of agent workflows 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 nickcrew/claude-cortex --skill ux-review -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

nickcrew

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 nickcrew/claude-ctx-plugin at bb47af79ad.

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

Scanned
1 file, 152 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) review capabilities. It analyzes designs and interfaces to identify usability issues, accessibility concerns, and areas for improvement. The AI agent can offer suggestions based on established UX principles and best practices, helping to create more intuitive and effective digital products.

When to use it

  • Website Redesign: Get feedback on a proposed website redesign before launch to catch potential user frustrations.
  • Mobile App Prototype: Evaluate the usability of a mobile app prototype with an AI-powered UX review.
  • Software Interface Critique: Obtain insights into the design and flow of a software application's interface.
  • Landing Page Optimization: Assess a landing page’s effectiveness in guiding users toward desired actions.

Key capabilities

  • Usability assessment
  • Accessibility evaluation
  • Design critique
  • Identification of UX issues

Example prompts

  • "Review this website design and provide feedback on its usability."
  • "Analyze this mobile app prototype for accessibility concerns."
  • "Critique the user flow in this software interface."
  • “What are some ways to improve the conversion rate of this landing page?”

Tips & gotchas

The quality of the review depends heavily on the clarity and detail provided in the input design or description. Providing context about the target audience can also help the AI agent provide more relevant feedback.