design-gauntlet

Enforces a research-first, multi-critic review loop for frontend UI builds.

Updated Aug 21, 2026
One-click install
npx skills add https://github.com/TylerSimons1127/vibe --skill design-gauntlet-tylersimons1127
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: design-gauntlet
Source: https://github.com/TylerSimons1127/vibe/tree/main/skills/creative/design-gauntlet
Command: npx skills add https://github.com/TylerSimons1127/vibe --skill design-gauntlet-tylersimons1127

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI models cannot reliably grade their own design output, so single-pass frontend builds ship with generic fonts, invented data, and visual slop. This Skill separates the builder from independent fresh-context critics and iterates against a checklist until the design passes. ## Core Features & Use Cases - Research-First Workflow: Scrapes 1-3 real reference sites with Firecrawl in branding format to extract typography, color tokens, and hierarchy before any design work begins. - Design System Codification: Defines deliberate font choices, full color scales (50-900), spacing bases, one consistent icon pack, and imagery libraries persisted in a DESIGN.md token file. - Multi-Critic Gauntlet Loop: Spins up 3+ independent critic agents (brief, system, craft/visual-impact) that grade the rendered artifact without seeing the builder's reasoning, looping 3-10 rounds until the checklist passes. - Use Case: When building a flagship landing page or reusable dashboard template, run the full gauntlet so fresh critics catch the 5 slop tells (typography, imagery, hierarchy, color, spacing) that the builder model would miss in self-review. ## Quick Start Use the design-gauntlet skill to build my landing page: research reference sites first, codify a design system, then iterate with independent critic agents until it passes the slop diagnostic.

Frequently Asked Questions about design-gauntlet

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

FAQPage Schema
How do I stop AI-generated UI from looking generic?▼

Run a gauntlet loop with independent fresh-context critic agents that grade the rendered artifact against a checklist, since a model cannot grade its own homework. Choose a deliberate characterful font, codify design tokens, and check the 5 slop tells: typography, imagery, hierarchy, color, and spacing.

How to use reference websites when designing a landing page with AI?▼

Scrape 1-3 real references the user likes with Firecrawl in branding format to extract typography, color tokens, and hierarchy, saving roughly 93% of tokens versus raw HTML. Never invent metrics or content; research any stats before including them.

When should I not use the full multi-critic design loop?▼

Skip the full gauntlet for trivial throwaway one-offs, because the loop can consume 0.7M to 3M tokens across 3-10 critic rounds. Reserve it for big or reusable builds like templates and flagship pages where the quality payoff justifies the cost.

What are the slop tells in AI-generated frontend design?▼

Roberts' 5 tells are typography, imagery, hierarchy, color, and spacing. The extended 10-tell diagnostic adds tech gradients, generic tech hues, feature-tile grids, accent rails, unearned blur, monument stats, icon toppers, center stacks, default type, and wrong surface choice.

Why does same-context self-review fail for design quality?▼

A model reviewing its own output in the same context becomes confidently wrong because it shares the builder's assumptions. Fresh-context critic agents that never see the builder's reasoning grade the artifact objectively, typically reviewing it around 10 times each before passing.