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Agent Skill · 前端设计

frontend-design(前端设计)

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

frontend-design 是前端设计类 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,按安装量在前端设计类的 10,216 个 Skill 里排第 9,185。

总安装 233周安装 10GitHub Stars 1下载 82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:frontend-design(前端设计)
来源仓库:https://github.com/olamedia/analytics-skills
仓库路径:skills/frontend-design
安装命令:
npx skills add https://github.com/olamedia/analytics-skills --skill frontend-design
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/olamedia/analytics-skills --skill frontend-design

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。适合生成或审查 React、Next.js、Vue、Tailwind、CSS 等代码,整理组件结构或定位布局问题。需结合项目现有设计系统、路由和构建方式使用,避免生成孤立片段。涉及页面改动时应配合本地预览和构建检查确认视觉效果。

安装命令:npx skills add https://github.com/olamedia/analytics-skills --skill frontend-design

来源仓库内路径:skills/frontend-design

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/olamedia/analytics-skills --skill frontend-des…;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

frontend-design 怎么安装?

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

frontend-design 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。

frontend-design 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。

frontend-design 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。

frontend-design 用的人多吗?

公开数据是累计安装 233 次,近一周安装 10 次,下载 82 次,GitHub 1 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。

frontend-design 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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
frontend-design

前端设计 · 本页

2331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

Frontend Design

Make websites feel premium and trustworthy — based on peer-reviewed research, not aesthetic opinions.

Core Principles

The brain uses processing fluency as a shortcut: "easy to process = probably true/safe/good" (Reber & Schwarz 1999). Users form stable judgments within 50ms (Tuch et al. 2012). Two factors drive that judgment:

  1. Low visual complexity — fewer competing elements, clear hierarchy
  2. High prototypicality — looks like what the user expects for this category of site

This triggers a halo chain (Tractinsky 2000):

Readable + Clean + Predictable → fluent → "beautiful" → perceived usable → perceived trustworthy

Four measurable properties of "premium feel":

PropertyMeaning
ReadabilityText and structure effortless to parse
SmoothnessNothing breaks the user's flow; animations are flawless or absent
PredictabilitySite behaves like the user expects for its category
CleanlinessNo competing elements, clear visual hierarchy

Trust is also built by factors beyond visual design (Stanford, NNGroup, Baymard): real organization proof, easy contact, upfront pricing, zero errors, external reviews, no hidden costs. Visual "premium-ness" overdone reduces trust by looking like a scam trying too hard.

General rule: All details, even the smallest, should be cared for. Visual clarity is one part of it.

Mode Selection

When this skill is invoked, determine the operating mode:

  • If the user is building or writing frontend code → Active Guidance
  • If the user is reviewing, auditing, or checking existing code → Audit
  • If ambiguous → ask:
"Should I apply design guidance while we build, or audit existing code for problems and suggestions?"

Active Guidance Mode

Apply research-backed design practices while generating frontend code. The goal is correct output, not commentary.

Process

  1. Read practices.md for the category index, then read the relevant category guides for the current task
  2. While generating code, silently apply the relevant practices:

- Accessibility: contrast, focus states, ARIA, heading hierarchy - Typography: line length, font size, hierarchy, fluid scaling - Spacing: consistent scale, container padding - Color: semantic roles, predictable usage, primary reserved for primary actions - Motion: CSS-first, 150-300ms micro, 400ms max complex, prefers-reduced-motion - Performance: lazy loading, code splitting, animate only transform/opacity - States: skeleton loaders, error messages with cause + fix, empty states with action - Responsive: mobile-first, touch targets >= 44px, no horizontal scroll - Forms: visible labels, validate on blur, progressive disclosure

  1. If you need a specific implementation pattern → read patterns.md
  2. If the user's request conflicts with a research-backed practice → mention the conflict briefly, follow the user's instruction
  3. If the user's request matches a known opinionated claim → check warnings.md, note it's opinion not research, follow the user's instruction
  4. Do not lecture. Produce correct code.

What NOT to do in active guidance

  • Do not explain every design decision unless asked
  • Do not refuse user requests based on the checklist — note conflicts, then comply
  • Do not prescribe specific fonts, colors, or hex values — those are project-specific
  • Do not assume dark or light mode — match the project's existing theme

Audit Mode

Scan existing frontend code for problems, then provide improvement suggestions. The fewer problems found, the more focus shifts to suggestions.

Process

  1. Read practices.md for the category index, then read the relevant category guides
  2. Read report-format.md for the output template
  3. Phase 1 — Checklist Pass: Scan the code against the checklist in each relevant category guide

- For each violation: note file location, what's wrong, which practice it violates - Classify severity: critical (harms trust/accessibility/usability), warning (reduces quality), note (minor)

  1. Phase 2 — Suggestions Pass: Apply the core principles above to find improvement opportunities

- Look for areas where readability, smoothness, predictability, or cleanliness could improve - Check trust signals (§14 in practices.md) — are organizational proof, contact info, upfront pricing present? - If few problems were found in Phase 1, expand this section

  1. Check warnings.md — flag any opinionated patterns found in the code
  2. Produce the report following the template from report-format.md
  3. If the user asked only for problems or only for suggestions, respect that

Quick Reference

The most critical items across all categories. Full checklists in practices.md.

Accessibility (WCAG)

  • Contrast: >= 4.5:1 body, >= 3:1 large text
  • Focus: visible focus-visible rings on all interactive elements
  • Motion: prefers-reduced-motion disables non-essential animation
  • Headings: sequential h1 → h2 → h3, no level skip
  • Icons: aria-label on every icon-only button

Typography (Processing Fluency)

  • Line length: 55-75 chars desktop, 35-45 mobile
  • Min body size: 16px mobile
  • Line height: 1.5-1.75
  • Max 2 font families + monospace for data
  • Fluid scale via clamp()

Color (Predictability)

  • Every color has a semantic role (primary, accent, semantic, neutral, surface)
  • Primary reserved for primary actions only
  • Active states expressed via border/shadow/weight — NOT primary color background
  • Color matches industry expectations

Motion (Smoothness)

  • 150-300ms micro, 400ms max complex
  • CSS-first, JS only when needed
  • Only animate transform and opacity
  • Janky > remove it. Only ship what runs flawlessly.

Performance (Trust)

  • Lazy load below-fold, code split by route
  • font-display: swap, preload critical fonts only
  • Reserve space for async content (prevent CLS)
  • JS budget: < 500KB desktop, < 150KB mobile

States (Care for Details)

  • Skeleton loaders for > 300ms waits
  • Error messages: cause + how to fix
  • Empty states: helpful message + action

Trust Signals (Research)

  • Real org proof: address, team bios, photos
  • Easy contact: phone, email, address prominent
  • Upfront pricing: no hidden costs, no login walls
  • External validation: third-party reviews, press
  • Zero errors: typos and broken links destroy credibility
  • Max 5 trust badges — more creates suspicion

Reference Files

FileWhen to read
practices.mdBoth modes — index of 14 categories, each linking to a detailed guide with checklist + guidance + common mistakes
report-format.mdAudit mode — output template with severity tiers
patterns.mdWhen you need a specific code implementation
warnings.mdWhen checking if design advice is opinion vs research

Red Flags

Stop and reconsider if you find yourself:

  • Prescribing specific fonts or colors as universally "premium"
  • Recommending dark mode as inherently more trustworthy
  • Breaking prototypicality (category-standard layouts) for "originality"
  • Adding animations that haven't been tested for smoothness
  • Using primary color for active states on non-primary elements
  • Ignoring trust signals (§14) while perfecting visual details
  • Lecturing the user about design theory instead of producing code

Verification

After completing work in either mode:

  • No opinionated claims presented as fact
  • Accessibility basics covered (contrast, focus, ARIA, motion)
  • Typography readable (line length, size, hierarchy)
  • Color usage predictable (semantic roles, primary reserved for actions)
  • Motion is flawless or absent — nothing janky
  • Performance considered (lazy loading, code splitting, CLS prevention)
  • Every state handled (loading, error, empty)
  • Trust signals addressed or noted as missing

适合场景

01

前端页面设计

02

生成更有辨识度的 UI

03

避免模板化 AI 页面

04

需要统一视觉方向时

能力概览

能力 1

建立明确视觉方向

能力 2

约束排版、色彩、动效和空间布局

能力 3

提醒避免通用模板化设计

能力 4

要求生成可运行的前端实现

平台分布

Codex

39.18%
按下载量换算32

Claude

27.75%
按下载量换算23

Cursor

17%
按下载量换算14

Gemini CLI

8.7%
按下载量换算7

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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