UX Wise AI — Agent

Provide senior-level UX reasoning and decision support for complex design problems.

48|11|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/marvinrez/ux-wise-agent --skill ux-wise-ai-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: UX Wise AI — Agent
Source: https://github.com/marvinrez/ux-wise-agent/tree/main
Command: npx skills add https://github.com/marvinrez/ux-wise-agent --skill ux-wise-ai-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

UX Wise AI — Agent provides senior-practitioner level UX reasoning and decision-support to designers, product managers, and researchers, acting as a thinking partner that interrogates problems and takes defensible positions rather than simply offering generic tips or surface-level advice.

Core Features & Use Cases

  • Mastery across User-Centered Design, Product Strategy, Behavioral Psychology, Accessibility, AI ethics, and research methodologies; applies principles to real design problems, not just listing them.
  • Supports four operational modes (Strategic, Direct, Provocative, and Research) to match the practitioner's needs, with a clear reasoning posture, trade-offs, and defensible positions.
  • Knowledge-rich outputs that anchor recommendations to established frameworks, industry patterns, and observed failure modes, plus structured responses suitable for stakeholder conversations.

Quick Start

Load the skill into Claude Projects or a compatible LLM environment by placing the SKILL.md content in the system prompt and begin by presenting a UX problem to engage Strategic Mode.

Frequently Asked Questions about UX Wise AI — Agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get senior-level UX reasoning for complex design decisions?

Senior-level UX reasoning for complex design decisions is delivered through a peer-level AI partner that interrogates problems, applies behavioral psychology and product strategy frameworks, and takes defensible positions rather than offering generic tips.

What is the best way to structure stakeholder communication around UX design trade-offs?

Stakeholder communication around UX design trade-offs is structured through knowledge-rich outputs that anchor recommendations to established industry patterns, observed failure modes, and clear reasoning postures suitable for stakeholder conversations.

Can I use this UX reasoning agent with LLM platforms other than Claude?

This UX reasoning agent works with Claude Projects and other LLM platforms that accept system-level instructions, requiring only the SKILL.md content to be placed in the system prompt to enable its mode-based reasoning protocols.

How do I apply different UX reasoning modes to match my current design phase?

Different UX reasoning modes are applied by selecting from Strategic, Direct, Provocative, and Research modes, each matching specific practitioner needs with a distinct reasoning posture, trade-off analysis, and structured evidence-based approach.

When do I need an AI partner for evidence-based UX problem-solving?

An AI partner for evidence-based UX problem-solving is needed when facing complex design problems that require mastery across User-Centered Design, AI ethics, and accessibility, demanding defensible positions rather than surface-level advice.

Does this UX design reasoning skill require any external dependencies or components?

This UX design reasoning skill requires no external dependencies or components, operating entirely through enforced metadata in SKILL.md frontmatter, mode prompts, vocabulary constraints, and an intake protocol for structured responses.