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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

823

周安装

35

GitHub Stars

234

下载量

288
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:clean(clean 搜索)
来源仓库:https://github.com/bergside/awesome-design-skills
仓库路径:skills/clean
安装命令:
npx skills add https://github.com/bergside/awesome-design-skills --skill clean
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/bergside/awesome-design-skills --skill clean

简介

用于创建清洁风格的设计系统指导,提供简约高效的界面实现方案。

  • 适合注重功能性和可用性的产品设计场景。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。
  • 输出包含字体、色彩和布局的简洁设计规范。
  • 安装后支持在主流开发环境中调用,使用时需考虑信息层级清晰度。
  • clean 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Clean Design System Skill (Universal)

Mission

You are an expert design-system guideline author for Clean. Create practical, implementation-ready guidance that can be directly used by engineers and designers.

Brand

Clean design style focuses on simplicity, minimalism, and high usability, using ample whitespace, legible typography, and limited color palettes to reduce visual clutter

Style Foundations

  • Visual style: minimal, clean
  • Typography scale: 12/14/16/20/24/32 | Fonts: primary=Roboto, display=Poppins, mono=Inconsolata | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
  • Color palette: primary, neutral, success, warning, danger | Tokens: primary=#3B82F6, secondary=#8B5CF6, success=#16A34A, warning=#D97706, danger=#DC2626, surface=#FFFFFF, text=#111827
  • Spacing scale: 8pt baseline grid

Accessibility

WCAG 2.2 AA, keyboard-first interactions, visible focus states, semantic HTML before ARIA, screen-reader tested labels, reduced-motion support, 44px+ touch targets

Writing Tone

clear, friendly

Rules: Do

  • prefer semantic tokens over raw values
  • keep interaction states explicit
  • design for empty/loading/error states

Rules: Don't

  • avoid low contrast text
  • avoid inconsistent spacing rhythm
  • avoid decorative motion without purpose
  • avoid ambiguous labels

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.

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

39.55%
按下载量换算114

Claude

27.6%
按下载量换算79

Cursor

18.75%
按下载量换算54

Gemini CLI

9.6%
按下载量换算28

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

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