afrexai-ux-research-engine
Complete UX Research & Design system — user discovery, persona building, journey mapping, usability testing, research synthesis, and design validation. Zero dependencies.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/1kalin/afrexai-ux-research-engineWhat This Skill Does
The afrexai-ux-research-engine is an end-to-end UX research assistant designed to systematize product discovery, design validation, and research synthesis. It eliminates the ambiguity of research planning by providing structured templates for briefs and a rigorous methodology selection matrix. It enables agents to walk through the entire lifecycle of user-centric development: from defining the core research question to translating qualitative findings into actionable UX design decisions. It operates as a logic-based skill, relying on internal reasoning to guide researchers and product teams through complex workflows without requiring external API dependencies.
Installation
To integrate this engine into your agent, run the following command in your terminal:
clawhub install openclaw/skills/skills/1kalin/afrexai-ux-research-engine
Use Cases
- Product Discovery: Use the framework to map out user needs before writing a single line of code, ensuring that the feature you are building addresses a real pain point.
- Design Validation: Conduct remote usability testing protocols to identify friction in navigation and interaction design.
- Market Analysis: Execute a competitive UX audit to understand how your product stacks up against industry standards.
- Research Synthesis: Input raw data from user interviews to generate structured reports, user personas, and customer journey maps.
Example Prompts
- "I am planning a research study for our new mobile checkout flow. Please generate a research brief YAML for me based on the provided methodology matrix, assuming a 2-week timeline and a focus on interaction problems."
- "We have 10 user interview transcripts regarding our dashboard redesign. Use the UX Research Engine to perform a thematic analysis and output the top 3 core user insights."
- "Which research method should I choose if I want to validate our site navigation structure before we start building the visual UI? Explain why and suggest the appropriate sample size."
Tips & Limitations
- Be Specific: The engine works best when your
research_questionis narrow. Instead of asking 'how to improve the app,' define a specific flow like 'the onboarding password recovery process.' - Methodology Selection: Always cross-reference the Method Selection Matrix. If you are early in the cycle, prioritize qualitative methods like interviews; if you are post-launch, pivot to quantitative methods like A/B testing or surveys.
- Human-in-the-loop: While the skill provides high-level synthesis, always review the generated research reports with stakeholders to ensure context alignment. The engine is a tool for facilitation, not a replacement for empathy in design.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-1kalin-afrexai-ux-research-engine": {
"enabled": true,
"auto_update": true
}
}
}