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Review Ux Ui

Checked
pjt222·vlatest·frontend·MIT

Helps with code review, UX design, UI components 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 pjt222/agent-almanac --skill review-ux-ui -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

pjt222

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 pjt222/development-guides at bcca822c1c.

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

Scanned
3 files, 813 lines
Copies in repo
3 — all of them scanned
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 evaluate user interface (UI) and user experience (UX) designs. It provides feedback on aspects like usability, accessibility, visual appeal, and overall effectiveness of a design. The agent can analyze existing designs or provide guidance during the design process itself.

When to use it

  • Design Critique: Get an AI's perspective on your website or app mockups before development begins.
  • Accessibility Review: Ensure designs adhere to accessibility guidelines (e.g., WCAG).
  • Usability Testing Alternative: Quickly identify potential usability issues without conducting full user testing sessions.
  • Design System Feedback: Evaluate components and patterns within a design system for consistency and effectiveness.

Key capabilities

  • UI/UX Design Evaluation
  • Accessibility Assessment
  • Usability Analysis
  • Visual Appeal Critique

Example prompts

  • "Review this wireframe of my mobile app's checkout flow and suggest improvements."
  • "Assess the accessibility of this website homepage, focusing on color contrast and keyboard navigation."
  • "Give me feedback on the visual design of this landing page – is it engaging?"

Tips & gotchas

The quality of the review depends heavily on the clarity and detail provided in the input (e.g., wireframes, mockups, or descriptions). Providing context about target users and business goals will improve the relevance of the feedback.