refero-design

Research real-world product screens via Refero MCP to design user interfaces.

15|Updated Oct 9, 2024
One-click install
npx skills add https://github.com/genesis-ai-dev/langquest --skill refero-design-genesis-ai-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: refero-design
Source: https://github.com/genesis-ai-dev/langquest/tree/main/.agents/skills/refero-design
Command: npx skills add https://github.com/genesis-ai-dev/langquest --skill refero-design-genesis-ai-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill empowers AI agents to design user interfaces grounded in real-world design research, moving beyond generic defaults to create polished, effective, and human-centered UIs.

Core Features & Use Cases

  • Research-First Methodology: Integrates with Refero MCP to search over 150,000 real-world screens and user flows for patterns, components, and best practices.
  • Craft Knowledge: Provides access to detailed guides on typography, color, spacing, motion, and icons, ensuring high-quality execution.
  • Anti-Slop Guidance: Explicit rules to avoid common AI design pitfalls like generic color palettes and uninspired layouts.
  • Use Case: When asked to "design a new dashboard for a project management tool," the agent will first research existing dashboards, analyze successful patterns, and then apply craft principles to create a unique, effective design.

Quick Start

Use the refero-design skill to research and design a new user onboarding flow.

Frequently Asked Questions about refero-design

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

FAQPage Schema
How do I design UI patterns using real-world product screens instead of generic AI layouts?

To design UI patterns using real-world product screens, implement a research-first methodology that searches a vast library of actual user flows to extract professional design patterns, preventing generic AI-generated layouts. This approach grounds interface creation in proven design research rather than defaults.

What is research-first product design for AI agents?

Research-first product design for AI agents is a methodology that accesses extensive databases of real-world product screens and user flows before generating interfaces. It guides systematic research, pattern extraction, and the application of craft principles to ensure UIs are polished and human-centered.

How do I avoid generic color palettes and uninspired layouts in AI-generated UI design?

To avoid generic color palettes and uninspired layouts in AI-generated UI design, apply explicit anti-slop guidance rules alongside detailed craft knowledge. This involves researching successful real-world patterns and systematically applying principles for typography, color, spacing, motion, and icons.

Can I use this methodology to research and design a user onboarding flow?

Yes, you can use this methodology to research and design a user onboarding flow by searching over 150,000 real-world screens. The agent first researches existing onboarding patterns, analyzes successful components, and then applies craft principles to create an effective design.

Does this UI research approach provide guides on typography and motion?

Yes, this UI research approach provides access to detailed craft knowledge guides covering typography, color, spacing, motion, and icon usage. These guides ensure high-quality execution and help apply professional design craft principles extracted from real-world product screens.