Design Systems

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📖 技能介紹


name: design-systems description: Deep design systems workflow—tokens, components, accessibility, documentation, governance, and adoption. Use when scaling UI consistency across teams or evolving a component library (Figma + code parity).


Design Systems (Deep Workflow)

A design system is shared UI infrastructure: tokens, components, patterns, and governance so products feel cohesive without freezing innovation.

When to Offer This Workflow

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Trigger conditions:

  • Multiple apps diverging visually; mounting accessibility debt
  • Launching or rebooting a component library; token refresh
  • Figma and production code drifting apart

Initial offer:

Use six stages: (1) strategy & principles, (2) design tokens, (3) components & API, (4) accessibility & content, (5) docs & tooling, (6) governance & adoption). Confirm framework (React/Vue/Svelte) and design tooling.


Stage 1: Strategy & Principles

Goal: Why the system exists (speed, a11y, brand); explicit non-goals (not every pixel must be centralized).

Exit condition: One-page principles: density, tone, motion philosophy.


Stage 2: Design Tokens

Goal: Semantic color, type, space, radius, motion—names like surface.default instead of raw hex everywhere.

Practices

  • Plan light/dark and density themes early

Stage 3: Components & API

Goal: Composable primitives vs bloated “kitchen sink” widgets; stable props API with semver discipline.

Practices

  • Prefer composition / slots over prop explosion

Stage 4: Accessibility & Content

Goal: WCAG baseline per component: focus rings, labels, error patterns, live regions where needed.


Stage 5: Docs & Tooling

Goal: Storybook or equivalent; usage guidelines; code snippets; do/don’t examples.


Stage 6: Governance & Adoption

Goal: Contribution guide; deprecation policy; champions or office hours per product line.


Final Review Checklist

  • [ ] Strategy and principles agreed
  • [ ] Token layer semantic and themeable
  • [ ] Component APIs stable and composable
  • [ ] Accessibility baseline per component
  • [ ] Documentation and live examples
  • [ ] Contribution and deprecation governance

Tips for Effective Guidance

  • Figma ↔ code parity needs owners and a sync cadence.
  • Do not ship a component without keyboard and screen-reader checks.

Handling Deviations

  • Small teams: start with tokens + a few primitives—defer full catalog.

🤖 AI 評測

這個 Skill 質量中等偏上,內容結構清晰、邏輯完整,涵蓋設計系統開發的主要環節,對理解設計系統建設很有幫助。但內容偏理論化,缺乏實際可用的示例和工具,深度有限,落地執行時可能還需要額外查詢資料。對於想快速建立設計系統共識的團隊來說是個不錯的起點框架。

📊 多維度評分

適應性3.8
規範性4.2
有效性4.4
可靠性3.9
可信度4.3

📁 包含檔案 (2 個)

📄 SKILL.md 2.4 KB
📄 _meta.json 133 B