Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计通过

design-systems设计系统

Agent Skill

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

总安装

447

周安装

19

GitHub Stars

3

下载量

157
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:design-systems(设计系统)
来源仓库:https://github.com/oldwinter/skills
仓库路径:skills/design-systems
安装命令:
npx skills add https://github.com/oldwinter/skills --skill design-systems
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/oldwinter/skills --skill design-systems

简介

design-systems 用于辅助界面设计、视觉规范和交互体验优化。

  • 适合整理页面结构、生成 UI 方案或改进组件层级。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 需结合品牌和设计系统使用,避免堆砌装饰元素。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Design Systems

Scope

Covers

  • Creating or upgrading a design system (tokens + components + guidelines)
  • Using blockframes (lo-fi, system-aware wireframes) to lock logic before hi-fi execution
  • Designing a future-ready visual foundation (depth/elevation, motion, texture) without breaking consistency
  • Making the system easy for non-experts to use (guardrails, examples, starter templates)
  • Driving adoption + governance (contribution model, champions, release cadence)

When to use

  • “We need a design system / component library and a plan to build it.”
  • “Our UI is inconsistent—define tokens + components + documentation to standardize.”
  • “We want to refresh our UI style (more depth/texture/motion) without chaos.”
  • “We need to scale design across teams or support enterprise customers with customization.”
  • “We want faster hi-fi output by locking flows in lo-fi first.”

When NOT to use

  • You’re defining a brand identity or logo system (different process).
  • You need user research/discovery to decide *what* to build.
  • You only need to ship one isolated UI change (just implement it).
  • You’re doing pure front-end architecture unrelated to UI consistency.

Inputs

Minimum required

  • Product + surfaces: web/iOS/Android; key flows
  • Current state: existing UI kit/design system (if any), design tool (e.g., Figma), code stack (if relevant)
  • Goals: speed, consistency, accessibility, scalability, customization, enterprise adoption
  • Constraints: timeline, team ownership, level of engineering support, compliance/a11y needs

Missing-info strategy

  • Ask up to 5 questions from references/INTAKE.md, then proceed with explicit assumptions.
  • If platform/stack is unknown, assume a modern web product with a component library and design tokens.
  • Do not request secrets or credentials.

Outputs (deliverables)

Produce a Design System Operating Pack in Markdown (in-chat by default; write to files if requested):

  1. Context snapshot (goals, constraints, success signals)
  2. Design system charter (mission, scope, principles, audiences, in/out)
  3. UI audit + operational blockers (what’s slowing teams down; what must standardize first)
  4. Blockframe-to-component map (lo-fi flows + mapping to components/tokens)
  5. Token model (taxonomy, naming rules, and initial token backlog—include elevation/depth)
  6. Component inventory + roadmap (tiers, prioritization, milestones)
  7. Documentation + enablement plan (non-designer-friendly, “teaches by structure”)
  8. Governance + adoption plan (contribution workflow, decision rights, champions, release cadence)
  9. Quality gate (checklists + rubric score) + Risks / Open questions / Next steps

Templates: references/TEMPLATES.md

Workflow (7 steps)

1) Intake + success definition (who is this for?)

  • Inputs: User context; references/INTAKE.md.
  • Actions: Confirm primary users of the system (designers, engineers, PMs, “non-designers”). Define success signals (cycle time, consistency, adoption, fewer UI bugs, faster onboarding).
  • Outputs: Context snapshot (draft).
  • Checks: Success is measurable or at least falsifiable (e.g., “80% of new screens use system components”).

2) Audit the current UI and find the operational “hook”

  • Inputs: Screens/flows, existing components, pain points, enterprise needs (if any).
  • Actions: Inventory inconsistencies (spacing/type/color/components), identify the operational blocker the system will remove (e.g., slow production, inconsistent UI, customization needs). Choose the first high-leverage slice.
  • Outputs: UI audit + operational blockers list; initial scope slice.
  • Checks: The first slice is narrow enough to ship but broad enough to set patterns.

3) Lock logic with blockframes (separate thinking from styling)

  • Inputs: Key flows; current IA; constraints.
  • Actions: Create or specify “blockframes” (lo-fi, system-aware wireframes). Map each block to intended components and token usage so hi-fi execution becomes faster and more consistent.
  • Outputs: Blockframe-to-component map (v1).
  • Checks: A reviewer can validate flow/IA without debating visual details.

4) Define the token model (make the future style changeable)

  • Inputs: Brand constraints, accessibility targets, desired direction (e.g., depth/texture/motion).
  • Actions: Define token taxonomy + naming; include elevation/depth and state tokens. If doing a visual refresh, design the token model so style can evolve without rewriting components.
  • Outputs: Token model + token backlog (v1).
  • Checks: Tokens support theming and states; accessibility constraints are addressed (contrast, focus, motion).

5) Define the component model + delivery plan

  • Inputs: Audit + blockframes + token model; engineering constraints.
  • Actions: Tier components (primitives → composites → patterns). Prioritize by reuse and user impact. Define milestones, owners, and acceptance criteria.
  • Outputs: Component inventory + roadmap (milestones).
  • Checks: Milestone 1 ships within 1–2 weeks and establishes “golden path” patterns.

6) Make it easy to use (guardrails for non-experts)

  • Inputs: Target user types; common mistakes; documentation needs.
  • Actions: Design documentation and component guidelines so they “teach by structure”: sensible defaults, constrained options, examples, do/don’t. Provide starter templates for common layouts.
  • Outputs: Documentation + enablement plan (v1).
  • Checks: A non-expert can assemble a consistent screen using templates with minimal training.

7) Governance + adoption + quality gate

  • Inputs: Draft pack; stakeholder map; toolchain (Figma/Storybook/etc.).
  • Actions: Define decision rights, contribution workflow, review gates, and release cadence. Create a champion/office-hours plan to drive adoption. Run references/CHECKLISTS.md and score with references/RUBRIC.md. Finalize Risks / Open questions / Next steps.
  • Outputs: Final Design System Operating Pack.
  • Checks: Ownership is unambiguous; adoption plan exists; quality bar is explicit and repeatable.

Quality gate (required)

Examples

See references/EXAMPLES.md.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.27%
按下载量换算59

Claude

30.47%
按下载量换算48

Cursor

18.4%
按下载量换算29

Gemini CLI

9.69%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills