ux-audit-walkthrough
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no hidden logic, and self-explanatory design.
npx skills add AIPexStudio/AIPex --skill ux-audit-walkthrough --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# UX Audit Walkthrough Skill ## When to Use This Skill Use this skill when the user wants to: - Perform a UX walkthrough audit on a Figma Prototype or live webpage - Evaluate interaction flows for usability issues - Identify cognitive load problems and path friction in UI designs - Generate a professional UX health score and diagnostic report ## Tool Usage Strategy (IMPORTANT) **This skill overrid
What does the ux-audit-walkthrough skill do?
Minimalist UX/Interaction Audit Expert that deconstructs complex interactions through cognitive load and operational efficiency lenses. Use this skill when you need to perform a UX walkthrough audit on a Figma prototype or web interface, evaluating usability based on principles like fewer clicks, less UI elements, no hidden logic, and self-explanatory design.
How do I install it?
Run `npx skills add AIPexStudio/AIPex --skill ux-audit-walkthrough --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From AIPexStudio/AIPex, a repository with 1,230 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.