construct-artisan

Creative direction for AI image generation — distill a codebase's FEEL canon (taste tokens, TDRs, persona files) into prompt-ready material vocabulary, map product architecture to scene systems, and enforce visual discipline across banner sets and scene stacks.

Analyze feedback logs to detect design preference patterns. Auto-contributes HIGH confidence patterns upstream.

Motion design and animation patterns for UI based on Emil Kowalski's principles

Touch, keyboard, and form interaction patterns for accessible UI

Design physics system for UI interactions - sync strategies, timing, confirmations

Convert vague "feel" feedback into specific actionable fixes via decomposition questions

Component design patterns - compound components, composition, props API

Interactive design direction through visual reference capture and tension resolution. Use when starting a new project or refining design direction.

Apply brand taste tokens to components from taste.md

Auto-screenshot design iteration loop with active feedback request. Use when making visual/style changes to components.

React and Next.js performance optimization patterns from Vercel Engineering

Accessibility and visual design review based on WCAG 2.1

UI polish patterns for typography, visual design, layout, and dark mode

UI baseline constraints and pattern enforcement to prevent interface slop

Extract brand taste tokens from reference materials into taste.md