What problem does it solve? Frontend interfaces often ship with generic AI-generated aesthetics, weak visual hierarchy, accessibility gaps, and inconsistent design systems. This Skill provides a structured workflow for designing, auditing, and iterating UI surfaces so they meet production quality standards instead of looking like template output. ## Core Features & Use Cases - 23 Routed Sub-Commands: Build flows (craft, shape, init, document, extract), evaluation flows (critique, audit), refinement flows (polish, bolder, quieter, distill, harden, onboard), enhancement flows (animate, colorize, typeset, layout, delight, overdrive), and fix flows (clarify, adapt, optimize), each backed by a dedicated reference file. - Context-Aware Setup: Runs context.mjs to load PRODUCT.md and DESIGN.md, detects brand vs product register, and generates a seed palette via palette.mjs for greenfield projects. - Design System Enforcement: Ships a complete PrismSpace design system (DESIGN.md) with color tokens, typography scales, elevation rules, and component CSS specifications. - Use Case: A developer with a bland dashboard runs the audit command to receive a scored report across accessibility, performance, theming, responsive design, and anti-patterns, then applies polish and colorize to fix the findings. ## Quick Start Ask the AI to run /impeccable audit on your dashboard page to get a scored technical quality report with prioritized fixes.
