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Cs Frontend Design

Community
ChenShuo2004
cs-frontend-design

设计、实现、迭代或评审真实前端页面与交互流程,包括 SaaS、仪表盘、编辑器、落地页和可视化工具。关注产品任务、现有设计语言、可达状态与浏览器验证;不用于纯后端工作。

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-frontend-design
Stars
204
Forks
21
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ChenShuo2004 on GitHub. Read the source before you install it.

Installation

Install the Cs Frontend Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ChenShuo2004/cs-skills/tree/main/cs-frontend-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git /tmp/cs-skills
mkdir -p .claude/skills
cp -r /tmp/cs-skills/cs-frontend-design .claude/skills/cs-frontend-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Frontend Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cs Frontend Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cs Frontend Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CS Frontend Design

先理解页面给谁用、主要动作是什么、完成后应发生什么。检查现有页面、路由、组件、设计 tokens 与真实数据,再作设计决定。

Work Modes

  • Build:交付可运行的页面或完整用户流程。
  • Iterate:解决指定体验问题,保留产品目的与已有视觉语言。
  • Review:交付具体发现、证据和修复优先级,不擅自改代码。

目标明确时直接执行。小改动只需简短说明;新页面或复杂流程可内部整理 Page Spec。多状态流程可用 State Matrix;简单静态改动不用填表。只有需要更详细交接时读 execution contract。

产品与视觉判断

  • 用户要求工具时,第一屏就是可工作的工具;不要替换成营销落地页。原型中的示例数据需明确,不能冒充已连接服务。
  • 沿用项目组件、字体、颜色、圆角与间距。新项目默认极简、现代、留白充足,以 Apple、Linear、Vercel、Notion 的清晰度为参考;用户品牌或参考图优先。
  • 布局由信息关系决定。表格服务比较,列表服务扫描,卡片用于独立内容组;不设脱离项目的固定圆角上限或颜色禁令。
  • 按钮标签说明动作和结果。熟悉且重复的工具操作可以用带可访问名称的图标;陌生、核心或破坏性动作保留清晰文字。
  • 只使用能解释真实产品的截图、素材或图形。装饰、动画和依赖必须对理解或操作有帮助。
  • 复用项目栈。无既有栈时可选 React、TypeScript、TailwindCSS 和适用的 shadcn/ui;不要为简单页面引入整套服务架构。

实现与验收

完成真实可达的 loading、empty、error、success、disabled 状态与恢复动作。检查键盘操作、焦点、表单标签、可读对比度;不要给静态页面制造假的加载或错误状态。

用项目适用的构建/类型检查验证实现,并在可用浏览器中操作主流程和最容易失败的分支。响应式页面至少检查桌面与窄屏的导航、溢出、点击目标与内容顺序;截图好看不等于按钮可用。

Verification Evidence 记录实际路由、动作、观察结果和必要的视口。工具不可用时说清未做的检查,不把源码推断当作浏览器通过。通过验收后交付,只有新失败或变更才重复检查。

交付

简短说明用户能做什么、修改文件、实际检查与未验证项。Review 按影响排序,区分缺陷与设计建议。不要强制输出完整 Page Spec 或 State Matrix。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cs Frontend Design AI skill do?

设计、实现、迭代或评审真实前端页面与交互流程,包括 SaaS、仪表盘、编辑器、落地页和可视化工具。关注产品任务、现有设计语言、可达状态与浏览器验证;不用于纯后端工作。

Why use Cs Frontend Design on TypingMind?

Because you install it once and use it with any model. Cs Frontend Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cs Frontend Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-frontend-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cs Frontend Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cs Frontend Design?

As many as you like. As long as a model supports skills, you can use Cs Frontend Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cs Frontend Design AI skill free?

Yes. It is published on GitHub by ChenShuo2004 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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