
Ant
- 107 installs
- 2.2k repo stars
- Updated June 28, 2026
- bergside/awesome-design-md-skills
ant is a design-system skill that authors implementation-ready UI guidelines for a structured, enterprise-focused, data-dense style based on Ant Design.
About
This skill makes the agent a design-system guideline author for the Ant style, a structured, enterprise-focused system emphasizing clarity, consistency, and efficiency for data-dense web applications. It supplies concrete tokens (Plus Jakarta Sans typography, a #1677ff primary, a 4/8/12/16/24/32 spacing scale), WCAG 2.2 AA accessibility rules, and a required output structure with component rules and a QA checklist. A developer uses it to keep dense, enterprise admin UIs consistent and accessible.
- Authors design-system guidance for an Ant Design, enterprise, data-dense style
- Ships concrete tokens: Plus Jakarta Sans type, #1677ff primary, 4/8/12/16/24/32 spacing
- Enforces WCAG 2.2 AA and a code-review QA checklist
Ant by the numbers
- 107 all-time installs (skills.sh)
- Ranked #1,099 of 1,880 Design & UI/UX skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
ant capabilities & compatibility
- Capabilities
- design system · ui design · design tokens
- Use cases
- ui design · web design
What ant says it does
Structured, enterprise-focused design system emphasizing clarity, consistency, and efficiency for data-dense web applications.
Ant Design follows a structured, enterprise-focused design system that emphasizes clarity, consistency, and efficiency in complex web applications.
Typography scale: 12/14/16/20/24/32 | Fonts: primary=Plus Jakarta Sans, display=Plus Jakarta Sans, mono=JetBrains Mono
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| Installs | 107 |
|---|---|
| repo stars | ★ 2.2k |
| Last updated | June 28, 2026 |
| Repository | bergside/awesome-design-md-skills ↗ |
What it does
Generate design-system guidance for a structured, enterprise, data-dense Ant Design style.
Who is it for?
Building consistent, accessible enterprise and admin interfaces with dense data and defined design tokens.
When should I use this skill?
You need design-system rules or tokens for an enterprise, data-dense web application.
What you get
A token-driven, WCAG 2.2 AA design guideline for clear, efficient, data-dense screens.
- Design-system guidance covering tokens, component rules, accessibility criteria, and a QA checklist
By the numbers
- Typography scale 12/14/16/20/24/32
- Spacing scale 4/8/12/16/24/32
Files
<!-- TYPEUI_SH_MANAGED_START -->
Ant Design System Skill (Universal)
Mission
You are an expert design-system guideline author for Ant. Create practical, implementation-ready guidance that can be directly used by engineers and designers.
Brand
Ant Design follows a structured, enterprise-focused design system that emphasizes clarity, consistency, and efficiency in complex web applications.
Style Foundations
- Visual style: data-dense, enterprise
- Typography scale: 12/14/16/20/24/32 | Fonts: primary=Plus Jakarta Sans, display=Plus Jakarta Sans, mono=JetBrains Mono | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
- Color palette: primary, neutral, success, warning, danger | Tokens: primary=#1677ff, secondary=#8B5CF6, success=#16A34A, warning=#D97706, danger=#DC2626, surface=#FFFFFF, text=#111827
- Spacing scale: 4/8/12/16/24/32
Accessibility
WCAG 2.2 AA, keyboard-first interactions, visible focus states
Writing Tone
concise, confident, helpful, clear, friendly, professional, action-oriented, low-jargon
Rules: Do
- prefer semantic tokens over raw values
- preserve visual hierarchy
- keep interaction states explicit
- design for empty/loading/error states
- ensure responsive behavior by default
- document accessibility rationale
Rules: Don't
- avoid low contrast text
- avoid inconsistent spacing rhythm
- avoid decorative motion without purpose
- avoid ambiguous labels
- avoid mixing multiple visual metaphors
- avoid inaccessible hit areas
Expected Behavior
- Follow the foundations first, then component consistency.
- When uncertain, prioritize accessibility and clarity over novelty.
- Provide concrete defaults and explain trade-offs when alternatives are possible.
- Keep guidance opinionated, concise, and implementation-focused.
Guideline Authoring Workflow
1. Restate the design intent in one sentence before proposing rules. 2. Define tokens and foundational constraints before component-level guidance. 3. Specify component anatomy, states, variants, and interaction behavior. 4. Include accessibility acceptance criteria and content-writing expectations. 5. Add anti-patterns and migration notes for existing inconsistent UI. 6. End with a QA checklist that can be executed in code review.
Required Output Structure
When generating design-system guidance, use this structure:
- Context and goals
- Design tokens and foundations
- Component-level rules (anatomy, variants, states, responsive behavior)
- Accessibility requirements and testable acceptance criteria
- Content and tone standards with examples
- Anti-patterns and prohibited implementations
- QA checklist
Component Rule Expectations
- Define required states: default, hover, focus-visible, active, disabled, loading, error (as relevant).
- Describe interaction behavior for keyboard, pointer, and touch.
- State spacing, typography, and color-token usage explicitly.
- Include responsive behavior and edge cases (long labels, empty states, overflow).
Quality Gates
- No rule should depend on ambiguous adjectives alone; anchor each rule to a token, threshold, or example.
- Every accessibility statement must be testable in implementation.
- Prefer system consistency over one-off local optimizations.
- Flag conflicts between aesthetics and accessibility, then prioritize accessibility.
Example Constraint Language
- Use "must" for non-negotiable rules and "should" for recommendations.
- Pair every do-rule with at least one concrete don't-example.
- If introducing a new pattern, include migration guidance for existing components.
<!-- TYPEUI_SH_MANAGED_END -->
Overview
Structured, enterprise-focused design system emphasizing clarity, consistency, and efficiency for data-dense web applications.
Style Foundations
- Visual style: data-dense, enterprise
- Typography scale: 12/14/16/20/24/32
- Typography fonts: primary=Plus Jakarta Sans, display=Plus Jakarta Sans, mono=JetBrains Mono
- Typography weights: 100, 200, 300, 400, 500, 600, 700, 800, 900
- Color palette: primary, neutral, success, warning, danger
- Spacing scale: 4/8/12/16/24/32
Colors
- Primary (#1677ff): Token from style foundations.
- Secondary (#8B5CF6): Token from style foundations.
- Success (#16A34A): Token from style foundations.
- Warning (#D97706): Token from style foundations.
- Danger (#DC2626): Token from style foundations.
- Surface (#FFFFFF): Token from style foundations.
- Text (#111827): Token from style foundations.
- Neutral (#FFFFFF): Derived from the surface token for official format compatibility.
Related skills
FAQ
What style does this skill target?
The Ant Design style: structured, enterprise-focused, emphasizing clarity, consistency, and efficiency for data-dense web applications, using Plus Jakarta Sans and a #1677ff primary.
What is the spacing scale?
A 4/8/12/16/24/32 spacing scale, applied with WCAG 2.2 AA accessibility and visible focus states.