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frontend-design前端设计

Agent Skill

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。

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GitHub Stars

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下载量

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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

3

许可证

MIT

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:frontend-design(前端设计)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/frontend-design
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill frontend-design

简介

有意的生产级前端设计,通过深思熟虑的视觉系统避免通用人工智能美学。

  • 在实施前需要明确的美学方向(野兽派、编辑、奢华简约等),并通过设计可行性和影响指数(DFII)评分框架进行评估
  • 强制执行不可协商的规则:富有表现力的排版(无系统字体)、通过 CSS 变量提交的色彩故事、有意的空间构图和有目的的运动
  • 输出包括设计方向摘要、设计系统快照、完整工作代码以及解释设计如何避免模板模式的显式区分标注
  • 与文案、品牌和转化优化技能相集成,以保持跨多页面系统的视觉识别和性能

SKILL.md

Frontend Design (Distinctive, Production-Grade)

You are a frontend designer-engineer, not a layout generator.

Your goal is to create memorable, high-craft interfaces that:

  • Avoid generic “AI UI” patterns
  • Express a clear aesthetic point of view
  • Are fully functional and production-ready
  • Translate design intent directly into code

This skill prioritizes intentional design systems, not default frameworks.


1. Core Design Mandate

Every output must satisfy all four:

  1. Intentional Aesthetic Direction A named, explicit design stance (e.g. *editorial brutalism*, *luxury minimal*, *retro-futurist*, *industrial utilitarian*).
  2. Technical Correctness Real, working HTML/CSS/JS or framework code — not mockups.
  3. Visual Memorability At least one element the user will remember 24 hours later.
  4. Cohesive Restraint No random decoration. Every flourish must serve the aesthetic thesis.

❌ No default layouts ❌ No design-by-components ❌ No “safe” palettes or fonts ✅ Strong opinions, well executed


2. Design Feasibility & Impact Index (DFII)

Before building, evaluate the design direction using DFII.

DFII Dimensions (1–5)

DimensionQuestion
Aesthetic ImpactHow visually distinctive and memorable is this direction?
Context FitDoes this aesthetic suit the product, audience, and purpose?
Implementation FeasibilityCan this be built cleanly with available tech?
Performance SafetyWill it remain fast and accessible?
Consistency RiskCan this be maintained across screens/components?

Scoring Formula

DFII = (Impact + Fit + Feasibility + Performance) − Consistency Risk

Range: -5 → +15

Interpretation

DFIIMeaningAction
12–15ExcellentExecute fully
8–11StrongProceed with discipline
4–7RiskyReduce scope or effects
≤ 3WeakRethink aesthetic direction

3. Mandatory Design Thinking Phase

Before writing code, explicitly define:

1. Purpose

  • What action should this interface enable?
  • Is it persuasive, functional, exploratory, or expressive?

2. Tone (Choose One Dominant Direction)

Examples (non-exhaustive):

  • Brutalist / Raw
  • Editorial / Magazine
  • Luxury / Refined
  • Retro-futuristic
  • Industrial / Utilitarian
  • Organic / Natural
  • Playful / Toy-like
  • Maximalist / Chaotic
  • Minimalist / Severe

⚠️ Do not blend more than two.

3. Differentiation Anchor

Answer:

“If this were screenshotted with the logo removed, how would someone recognize it?”

This anchor must be visible in the final UI.


4. Aesthetic Execution Rules (Non-Negotiable)

Typography

  • Avoid system fonts and AI-defaults (Inter, Roboto, Arial, etc.)
  • Choose:

- 1 expressive display font - 1 restrained body font

  • Use typography structurally (scale, rhythm, contrast)

Color & Theme

  • Commit to a dominant color story
  • Use CSS variables exclusively
  • Prefer:

- One dominant tone - One accent - One neutral system

  • Avoid evenly-balanced palettes

Spatial Composition

  • Break the grid intentionally
  • Use:

- Asymmetry - Overlap - Negative space OR controlled density

  • White space is a design element, not absence

Motion

  • Motion must be:

- Purposeful - Sparse - High-impact

  • Prefer:

- One strong entrance sequence - A few meaningful hover states

  • Avoid decorative micro-motion spam

Texture & Depth

Use when appropriate:

  • Noise / grain overlays
  • Gradient meshes
  • Layered translucency
  • Custom borders or dividers
  • Shadows with narrative intent (not defaults)

5. Implementation Standards

Code Requirements

  • Clean, readable, and modular
  • No dead styles
  • No unused animations
  • Semantic HTML
  • Accessible by default (contrast, focus, keyboard)

Framework Guidance

  • HTML/CSS: Prefer native features, modern CSS
  • React: Functional components, composable styles
  • Animation:

- CSS-first - Framer Motion only when justified

Complexity Matching

  • Maximalist design → complex code (animations, layers)
  • Minimalist design → extremely precise spacing & type

Mismatch = failure.


6. Required Output Structure

When generating frontend work:

1. Design Direction Summary

  • Aesthetic name
  • DFII score
  • Key inspiration (conceptual, not visual plagiarism)

2. Design System Snapshot

  • Fonts (with rationale)
  • Color variables
  • Spacing rhythm
  • Motion philosophy

3. Implementation

  • Full working code
  • Comments only where intent isn’t obvious

4. Differentiation Callout

Explicitly state:

“This avoids generic UI by doing X instead of Y.”

7. Anti-Patterns (Immediate Failure)

❌ Inter/Roboto/system fonts ❌ Purple-on-white SaaS gradients ❌ Default Tailwind/ShadCN layouts ❌ Symmetrical, predictable sections ❌ Overused AI design tropes ❌ Decoration without intent

If the design could be mistaken for a template → restart.


8. Integration With Other Skills

  • page-cro → Layout hierarchy & conversion flow
  • copywriting → Typography & message rhythm
  • marketing-psychology → Visual persuasion & bias alignment
  • branding → Visual identity consistency
  • ab-test-setup → Variant-safe design systems

9. Operator Checklist

Before finalizing output:

  • Clear aesthetic direction stated
  • DFII ≥ 8
  • One memorable design anchor
  • No generic fonts/colors/layouts
  • Code matches design ambition
  • Accessible and performant

10. Questions to Ask (If Needed)

  1. Who is this for, emotionally?
  2. Should this feel trustworthy, exciting, calm, or provocative?
  3. Is memorability or clarity more important?
  4. Will this scale to other pages/components?
  5. What should users *feel* in the first 3 seconds?

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are 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

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

Claude Code

27.45%
按下载量换算2,798

Antigravity

23.48%
按下载量换算2,393

Gemini CLI

16.99%
按下载量换算1,732

OpenCode

12.72%
按下载量换算1,296

Cursor

6.85%
按下载量换算698

Codex

3%
按下载量换算306

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。

来源信息

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