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Agent Skill · 研究检索

design-systems(设计系统)

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。

design-systems 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 56,650。

总安装 447周安装 19GitHub Stars 3下载 157核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/design-systems

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/oldwinter/skills --skill design-systems;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

design-systems 怎么安装?

在终端执行 npx skills add https://github.com/oldwinter/skills --skill design-systems。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

design-systems 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

design-systems 需要什么权限?

权限级别是只读。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。

design-systems 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

design-systems 用的人多吗?

公开数据是累计安装 447 次,近一周安装 19 次,下载 157 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

design-systems 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
design-systems

设计系统 · 本页

4473只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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。目前只有一个公开来源,建议同时核对源仓库。

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