UX UI Skills — AI skill for Claude Code

UX/UI Design Skills

This repository contains six stable Codex/ChatGPT skills for evidence-led professional product-design work, plus one experimental end-to-end foundation.

Stable skills

• ux-ui-audit: Reviews screens for hierarchy, usability, accessibility, layout, information architecture, responsive behavior, trust, states, and prioritised improvements.
• dashboard-redesign: Improves dashboards, KPI cards, charts, filters, density, drilldowns, comparison, data trust, responsiveness, and accessibility.
• design-system-review: Reviews components, tokens, spacing, typography, color, variants, states, documentation, design-code parity, and governance.
• ai-product-design: Designs AI features, chatbots, agents, copilots, trust flows, feedback loops, approvals, recovery, memory, permissions, and evaluation.
• case-study-writer: Converts product design work into concise, credible UX/UI portfolio case studies without inventing metrics or ownership.
• handoff-to-dev: Produces build-ready specs, annotations, acceptance criteria, responsive behavior, accessibility requirements, state matrices, and QA criteria.

Each stable skill includes a realistic input-to-output example. The examples demonstrate evidence strength, decision quality, output density, and what the skill must leave unresolved.

Experimental

`product-design` is an explicit-invocation foundation for end-to-end research, product framing, experience modeling, visual direction, creation, and rendered validation. It includes a project-context schema, governed JSONL knowledge records, dependency-free retrieval, anonymized benchmarks, and executable tests. Its seed corpus is deliberately small and it is not yet positioned as a production replacement for the six specialist skills.

Who this is for

These skills are for designers, product teams, and engineers who need defensible reasoning, accurate standards interpretation, explicit uncertainty, and testable design decisions. They favor profe