Skip to content
cccskills
FreePublished on GitHub

ant

Structured, enterprise-focused design system emphasizing clarity, consistency, and efficiency for data-dense web applications.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3 stars(GitHub 3 + cccskills 0)

Run score Not tested

See how to install

Files included (2)

  • SKILL.md3.7 KB
  • DESIGN.md1.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

<!-- 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 -->

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3Updated Aug 28, 2026

Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3Updated Aug 28, 2026

Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3Updated Aug 28, 2026

Build integrated IS/BS/CF financial workbooks in Excel.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3Updated Aug 28, 2026

Entry point for 9Router — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions 9Router, NINEROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3Updated Aug 28, 2026

Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.

The English summary is being prepared. Showing the original description.

karanmrn/karanagentskills3Updated Aug 28, 2026

See all skills by karanmrn

Report a problem with this skill