Ui Designer/Design Variants

Community

echoVic

ui-designer/design-variants

设计变体模式，产出2-3个设计方案及 tradeoff 分析，供用户选择后确定最终方案

Overview

Publisher	echoVic
Repository	`boss-skill`
Skill name	`ui-designer/design-variants`
Stars	562
Forks	51
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by echoVic on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/echoVic/boss-skill/tree/main/skill/skills/ui-designer/design-variants
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/echoVic/boss-skill/tree/main/skill/skills/ui-designer/design-variants

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/echoVic/boss-skill.git /tmp/boss-skill
mkdir -p .claude/skills
cp -r /tmp/boss-skill/skill/skills/ui-designer/design-variants .claude/skills/echovic-ui-designer-design-variants

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ui Designer/Design Variants 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 Ui Designer/Design Variants 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 Ui Designer/Design Variants 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.

设计变体模式

适用场景

当设计方向不确定、存在多种合理方案、或用户希望看到不同风格的对比时，启用变体模式。 不建议在简单功能或设计方向明确时使用——避免决策疲劳。

核心方法

步骤 1：变体策略确定

分析 PRD 后确定变体差异维度。常见维度组合：

策略	维度	适用场景
风格变体	简约 vs 丰富 vs 极简	品牌/调性不确定
布局变体	单栏 vs 双栏 vs 卡片	内容组织方式不确定
交互变体	步骤式 vs 单页式 vs 对话式	用户流程不确定
复杂度变体	MVP vs 标准 vs 豪华	功能范围不确定

原则：每个变体应该有清晰的设计理念差异，而非仅仅是颜色/字体的不同。

步骤 2：变体设计

为每个变体（2-3个）产出：

设计理念：一句话说明这个方案的核心思路
视觉方案：基于 design-system 的具体实现
组件选择：使用哪些组件、如何组合
交互流程：用户的操作路径
Tradeoff 分析：优势和劣势

步骤 3：对比矩阵

生成结构化对比，帮助用户快速决策：

维度	方案 A	方案 B	方案 C
视觉复杂度	高/中/低	-	-
开发成本	X 天	-	-
用户学习曲线	陡/平/无	-	-
可扩展性	高/中/低	-	-
品牌一致性	高/中/低	-	-
移动端适配	优/良/差	-	-

步骤 4：推荐与等待

给出推荐方案及推荐理由
将变体输出到 .boss/<feature>/ui-design-variants.json
设置状态为 NEEDS_CONTEXT，等待用户选择

用户选择后：

记录选择（供跨项目偏好聚合，走事件流、可重放）：

bash
boss runtime record-user-choice <feature> --choice-type design-variant \
  --selected "<选中方案>" --options "<方案A,方案B,方案C>" --reason "<用户理由>"

将选中方案写入正式的 ui-design.json 和 ui-spec.md

输出要求

JSON 产物格式

输出到 .boss/<feature>/ui-design-variants.json：

json
{
  "schemaVersion": "1.0.0",
  "artifact": "ui-design-variants",
  "feature": "<feature-name>",
  "updatedAt": "<ISO-8601>",
  "strategy": "风格变体|布局变体|交互变体|复杂度变体",
  "variants": [
    {
      "variantId": "A",
      "name": "方案A: [名称]",
      "concept": "[一句话设计理念]",
      "tradeoffs": {
        "pros": ["优势1", "优势2", "优势3"],
        "cons": ["劣势1", "劣势2"]
      },
      "designData": {
        "mode": "wireframe",
        "pages": [],
        "components": [],
        "prototype": {},
        "implementationHints": {}
      }
    }
  ],
  "comparison": {
    "dimensions": ["视觉复杂度", "开发成本", "用户学习曲线", "可扩展性", "品牌一致性", "移动端适配"],
    "matrix": [
      {"dimension": "视觉复杂度", "A": "中", "B": "低", "C": "高"}
    ]
  },
  "recommendation": {
    "variantId": "A",
    "reason": "[推荐理由]"
  },
  "selectedVariantId": null
}

状态报告

bash
boss runtime report-agent-status <feature> <stage> boss-ui-designer NEEDS_CONTEXT \
  --reason "已产出 N 个设计变体，等待用户选择最终方案（方案A/B/C）"

用户选择后的行为

收到用户选择后：

更新 ui-design-variants.json 的 selectedVariantId 字段
将选中方案的 designData 写入正式 ui-design.json
基于选中方案生成完整的 ui-spec.md
报告 DONE 状态

Frequently asked questions

What does the Ui Designer/Design Variants AI skill do?

设计变体模式，产出2-3个设计方案及 tradeoff 分析，供用户选择后确定最终方案

Why use Ui Designer/Design Variants on TypingMind?

Because you install it once and use it with any model. Ui Designer/Design Variants 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 Ui Designer/Design Variants in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/echoVic/boss-skill/tree/main/skill/skills/ui-designer/design-variants. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ui Designer/Design Variants?

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 Ui Designer/Design Variants?

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

Is the Ui Designer/Design Variants AI skill free?

Yes. It is published on GitHub by echoVic 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

设计变体模式

适用场景

核心方法

步骤 1：变体策略确定

步骤 2：变体设计

步骤 3：对比矩阵

步骤 4：推荐与等待

输出要求

JSON 产物格式

状态报告

用户选择后的行为

Frequently asked questions

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