What problem does it solve?
This Skill helps teams define consistent, accessible enterprise UI guidance for data-heavy workflows so implementations stay coherent and trustworthy.
Core Features & Use Cases
- Tokenized enterprise foundations: establishes high-contrast colors, typography (Ubuntu/Oswald/Ubuntu Mono), spacing, and rounded corners for repeatable UI structure.
- Component-level rule authoring: specifies what engineers must implement across anatomy, variants, interaction states (default/hover/focus-visible/active/disabled/loading/error), and responsive/edge-case behavior.
- Accessible writing and quality gates: enforces WCAG 2.2 AA, keyboard-first interactions, explicit focus states, and testable acceptance criteria with do/don’t anti-patterns.
- Use case: apply this guidance when building an enterprise drag-and-drop data workflow (e.g., a dashboard or pipeline editor) where users must clearly understand hierarchy, actions, and system status.
Quick Start
Ask an AI agent to generate implementation-ready Enterprise design-system rules for a drag-and-drop data workflow UI, including tokens usage, component anatomy, accessibility acceptance criteria, and a QA checklist.