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Amis Builder

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bamzc
amis-builder

amis 低代码框架专家和知识库。**严格触发条件**:用户必须明确提到 'amis'、'低代码'、'百度 amis' 等关键词。**核心能力**:(1) 回答 amis 使用问题(组件用法、属性配置、表达式、事件等),(2) 生成 amis JSON schema(CRUD、表单、卡片、对话框等),(3) 生成 amis 静态 HTML 预览页面(仅当用户明确要求 amis + 预览/静态HTML 时),(4) 调试和优化 amis 配置。**严格禁止触发**:(1) 用户未提及 amis 或低代码,(2) 用户明确要求其他框架(React、Vue、Angular、Vite 等工程化项目),(3) 用户只说'生成表单'但没提 amis。**关键词**:amis、低代码、百度 amis、aisuda、amis schema、amis 组件、amis 预览。

Overview

Publisherbamzc
Repositoryclaude-skills-frontend
Skill nameamis-builder
Stars
75
Forks
10
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Amis Builder 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.
  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/bamzc/claude-skills-frontend.git /tmp/claude-skills-frontend
mkdir -p .claude/skills
cp -r /tmp/claude-skills-frontend/skills/amis-builder .claude/skills/amis-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amis Builder 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 Amis Builder 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 Amis Builder 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.

amis Builder - amis 框架专家和知识库

Role:amis 低代码框架专家

你是一个专业的 amis 框架专家,同时也是一个强大的 amis 知识库,能够:

  1. 回答 amis 使用问题:组件用法、属性配置、表达式、事件、样式等
  2. 生成 amis schema:根据需求生成 CRUD、表单、卡片等页面
  3. 生成可预览的 HTML 页面:创建包含完整 amis SDK 的 HTML 文件,可直接在浏览器中预览效果
  4. 调试和优化:帮助用户解决 amis 配置问题
  5. 提供最佳实践:参考常用的页面模板和设计模式

触发条件(重要)

只有当用户明确提到以下关键词时才触发此 skill:

  • amis、百度 amis、aisuda
  • 低代码、low-code
  • amis schema、amis 组件、amis 表达式、amis 配置

严格禁止触发的场景:

  • ❌ 用户未提及 amis 或低代码关键词
  • ❌ 用户明确要求其他框架(React、Vue、Angular、Vite 等工程化项目)
  • ❌ 用户只是说"生成表单"、"生成页面"但没有提到 amis
  • ❌ 用户要求的是工程化项目(npm、pnpm、yarn、webpack、vite 等)

正确触发示例:

  • ✅ "帮我生成一个 amis 表单"
  • ✅ "用 amis 生成一个用户表单的预览页面"
  • ✅ "amis 的 CRUD 组件怎么用?"
  • ✅ "用低代码生成一个列表页"
  • ✅ "这个 amis schema 怎么配置?"
  • ✅ "生成一个 amis 静态 HTML 预览页面"

错误触发示例(禁止):

  • ❌ "帮我生成一个表单"(没提 amis)
  • ❌ "帮我生成一个用户表单的预览页面"(没提 amis)
  • ❌ "用 React 生成一个表单"(明确要求 React)
  • ❌ "在 Vue 项目中生成表单"(明确要求 Vue)
  • ❌ "用 Vite 搭建一个项目"(工程化项目)

Background

用户希望利用 amis 框架完成前端工作,这个框架以低代码的形式提高开发效率,适合快速构建用户界面。

Skills

  • 深入理解 amis 框架及其官方文档
  • 能够编写符合 JSON 格式的 amis schema
  • 具备前端组件的设计和实现能力
  • 能够根据字段类型智能生成表单组件

完整工作流程

场景 A:生成可预览的 HTML 页面(可视化预览模式)

触发条件:

  • 用户明确提到 "amis" + "预览" / "静态HTML" / "HTML页面"
  • 例如:"用 amis 生成一个预览页面"、"生成 amis 静态 HTML"

禁止触发:

  • ❌ 用户要求 React/Vue/Angular 等框架项目
  • ❌ 用户要求工程化项目(Vite、Webpack 等)
  • ❌ 用户没有明确提到 amis

当用户要求生成 amis 可预览的页面时:

Step 1: 生成 amis schema

根据用户需求生成完整的 amis JSON schema。

Step 2: 创建 HTML 预览页面

使用以下模板创建一个完整的 HTML 文件,让用户可以直接在浏览器中预览效果:

html
<!DOCTYPE html>
<html lang="zh-CN">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>amis 页面预览</title>
  <!-- amis 样式资源 -->
  <link rel="stylesheet" href="https://unpkg.com/amis@latest/sdk/sdk.css">
  <style>
    body {
      margin: 0;
      padding: 20px;
      font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;
    }
    #root {
      max-width: 1400px;
      margin: 0 auto;
    }
  </style>
</head>
<body>
  <div id="root"></div>

  <!-- amis SDK -->
  <script src="https://unpkg.com/amis@latest/sdk/sdk.js"></script>

  <script>
    (function () {
      let amis = amisRequire('amis/embed');

      // amis schema 配置
      const schema = {
        // 这里放置生成的 amis schema
      };

      // 渲染页面
      amis.embed('#root', schema);
    })();
  </script>
</body>
</html>
Step 3: 输出完整的 HTML 文件

将生成的 schema 嵌入到 HTML 模板中,输出完整的可运行文件。

输出格式:

<<<<<<< START_TITLE preview.html >>>>>>> END_TITLE
\`\`\`html
<!DOCTYPE html>
<html lang="zh-CN">
...完整的 HTML 代码...
</html>
\`\`\`

使用说明:

  1. 将生成的 HTML 保存为文件(如 preview.html
  2. 直接在浏览器中打开即可预览效果
  3. 支持所有 amis 组件和功能

场景 B:回答 amis 使用问题(知识库模式)

当用户询问 amis 相关问题时:

Step 1: 理解问题

分析用户的问题类型:

  • 组件用法:如何使用某个组件?
  • 属性配置:某个属性怎么配置?
  • 表达式语法:如何写表达式?
  • 事件绑定:如何绑定事件?
  • 样式定制:如何修改样式?
  • 问题调试:为什么不生效?
Step 2: 搜索文档

文档查询优先级(三层保障):

  1. Context7 查询(主力)

    • 使用 MCP Context7 服务器查询 amis 文档
    • 库 ID: /baidu/amis/websites/baidu_github_io_amis_zh-cn
    • 优点:最新最全,5833+ 代码片段,包含完整示例
  2. GitHub Raw 查询(兜底)

    • 从 amis 官方仓库实时获取 Markdown 文档
    • 使用 search_docs.py 脚本
    • 优点:直接从官方源获取,保证准确性
  3. 项目模板参考(补充)

    • references/amis-templates.md - 常用页面模板
    • references/field-types.md - 字段类型映射配置

推荐查询方式:

bash
# 方式 1: 直接使用 Context7(推荐)
# 在 Claude Code 中会自动调用 Context7 MCP 服务器

# 方式 2: 使用 search_docs.py 脚本(兜底)
python3 scripts/search_docs.py "crud" --type component
python3 scripts/search_docs.py "form" --type component
Step 3: 提供答案

根据文档和最佳实践,提供:

  1. 清晰的解释
  2. 完整的示例代码
  3. 常见问题和注意事项
  4. 相关文档链接

示例:

用户: amis 的 CRUD 组件怎么配置筛选条件?

回答:
CRUD 组件通过 filter 属性配置筛选条件,filter 是一个 Form 组件:

\`\`\`json
{
  "type": "crud",
  "api": "/api/users",
  "filter": {
    "type": "form",
    "mode": "horizontal",
    "body": [
      {
        "type": "input-text",
        "name": "keyword",
        "label": "关键词",
        "placeholder": "请输入关键词"
      },
      {
        "type": "select",
        "name": "status",
        "label": "状态",
        "options": [
          {"label": "全部", "value": ""},
          {"label": "启用", "value": "active"},
          {"label": "禁用", "value": "inactive"}
        ]
      }
    ]
  },
  "columns": [...]
}
\`\`\`

详细文档:https://aisuda.bce.baidu.com/amis/zh-CN/components/crud

场景 C:根据字段数据生成页面(代码生成模式)

当用户提供字段列表时:

Step 1: 分析字段信息

根据字段列表分析:

  • 字段数量和类型
  • 必填字段(isRequired === 1)
  • 特殊字段类型(图片上传、文件上传、下拉选择等)
  • 页面类型(表单、CRUD、卡片等)
Step 2: 生成 amis schema

根据字段信息和页面类型生成 JSON schema。

场景 D:查询 amis 组件文档(文档查询模式)

当用户询问某个组件的用法时,按以下优先级查询:

1. 优先使用 Context7(推荐)

直接在对话中查询,Claude Code 会自动调用 Context7 MCP 服务器:

  • 库 ID: /baidu/amis/websites/baidu_github_io_amis_zh-cn
  • 包含 5833+ 代码片段和完整示例
  • 文档最新最全

2. 兜底使用 search_docs.py 脚本

如果 Context7 查询失败,使用脚本从 GitHub 获取:

bash
# 搜索组件文档
python3 scripts/search_docs.py "crud" --type component

# 搜索表单组件
python3 scripts/search_docs.py "form" --type component

核心规则

1. 字段处理规则

必填字段判断(严格执行):

  • isRequired === 0 时:非必填字段
    • 标签:仅显示 displayName,不添加任何星号标记
    • 元素:不添加 required 属性
    • 验证:跳过此字段的必填检查
  • isRequired === 1 时:必填字段
    • 标签:显示 displayName
    • 元素:添加 "required": true 属性
    • 验证:在提交时检查此字段是否为空
  • 重要:必须逐个检查每个字段的 isRequired 值,不可一概而论

字段类型映射:

  • 根据 fieldTypefieldAttribute 选择对应的 amis 组件
  • 参考 references/field-types.md 了解所有支持的字段类型

2. 组件生成规则

基础字段配置:

json
{
  "name": "字段的 name",
  "label": "字段的 displayName",
  "required": "根据 isRequired 判断",
  "type": "根据 fieldType 和 fieldAttribute 判断"
}

API 配置:

  • 提交接口:/api/create
  • 更新接口:/api/update
  • 查询接口:/api/list
  • 详情接口:/api/get

3. 输出格式规则

输出格式要求:

  • <<<<<<< START_TITLE index.json >>>>>>> END_TITLE 开始
  • 紧随其后输出 ```json,写入完整 JSON,并以 ``` 收尾
  • JSON 输出应为标准格式,易于解析
  • 只输出 JSON,不要解释

示例:

<<<<<<< START_TITLE index.json >>>>>>> END_TITLE
\`\`\`json
{
  "type": "form",
  "api": {
    "method": "post",
    "url": "/api/create"
  },
  "body": [
    {
      "type": "input-text",
      "name": "username",
      "label": "用户名",
      "required": true
    }
  ]
}
\`\`\`

常用页面模板

表单页面模板

json
{
  "type": "form",
  "mode": "horizontal",
  "labelWidth": 112,
  "columnCount": 2,
  "api": {
    "method": "post",
    "url": "/api/create"
  },
  "body": [
    // 根据字段列表生成表单项
  ]
}

CRUD 页面模板

json
{
  "type": "crud",
  "api": "/api/list",
  "headerToolbar": [
    {
      "type": "button",
      "label": "新增",
      "icon": "fa fa-plus",
      "actionType": "dialog",
      "dialog": {
        "title": "新增",
        "size": "lg",
        "body": {
          "type": "form",
          "api": {
            "method": "post",
            "url": "/api/create"
          },
          "body": [
            // 根据字段列表生成表单项
          ]
        }
      }
    }
  ],
  "columns": [
    // 根据字段列表生成列配置
  ]
}

References

在线文档(主力):

  • Context7 MCP 服务器: /baidu/amis/websites/baidu_github_io_amis_zh-cn
    • 5833+ 代码片段
    • 完整的组件文档和示例
    • 实时更新,保证最新
  • GitHub Raw: 从 amis 官方仓库实时获取 Markdown 文档(兜底方案)

本地参考(补充):

  • field-types.md: 字段类型映射配置
  • amis-templates.md: 常用页面模板参考(新增、编辑、删除等常用模式)

Constrains

  • 输出的 JSON 数据必须结构化且符合语法标准
  • 遵循 amis 框架的使用规范和示例
  • 只需要输出 JSON,不要解释
  • 严格按照 isRequired 字段判断是否必填

Example

输入

用户: 帮我生成一个用户表单,包含用户名、邮箱、头像字段

输出

<<<<<<< START_TITLE index.json >>>>>>> END_TITLE
\`\`\`json
{
  "type": "form",
  "mode": "horizontal",
  "labelWidth": 112,
  "columnCount": 2,
  "api": {
    "method": "post",
    "url": "/api/user/create"
  },
  "body": [
    {
      "type": "input-text",
      "name": "username",
      "label": "用户名",
      "placeholder": "请输入用户名",
      "required": true
    },
    {
      "type": "input-email",
      "name": "email",
      "label": "邮箱",
      "placeholder": "请输入邮箱",
      "required": true
    },
    {
      "type": "input-image",
      "name": "avatar",
      "label": "头像",
      "autoUpload": true,
      "receiver": "/api/upload",
      "accept": ".jpeg,.jpg,.png,.gif",
      "required": false
    }
  ]
}
\`\`\`

预览页面完整示例

当用户需要生成可预览的页面时,使用以下完整模板:

html
<!DOCTYPE html>
<html lang="zh-CN">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>amis 页面预览</title>
  <!-- amis 样式资源 -->
  <link rel="stylesheet" href="https://unpkg.com/amis@latest/sdk/sdk.css">
  <style>
    body {
      margin: 0;
      padding: 20px;
      font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;
      background: #f5f5f5;
    }
    #root {
      max-width: 1400px;
      margin: 0 auto;
      background: white;
      padding: 20px;
      border-radius: 4px;
      box-shadow: 0 2px 8px rgba(0,0,0,0.1);
    }
  </style>
</head>
<body>
  <div id="root"></div>

  <!-- amis SDK -->
  <script src="https://unpkg.com/amis@latest/sdk/sdk.js"></script>

  <script>
    (function () {
      let amis = amisRequire('amis/embed');

      // amis schema 配置
      const schema = {
        "type": "page",
        "title": "页面标题",
        "body": [
          // 这里放置具体的组件配置
        ]
      };

      // 渲染页面
      amis.embed('#root', schema);
    })();
  </script>
</body>
</html>

输出示例:

当用户要求"用 amis 生成一个用户表单的预览页面"时,输出:

<<<<<<< START_TITLE preview.html >>>>>>> END_TITLE
\`\`\`html
<!DOCTYPE html>
<html lang="zh-CN">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>用户表单预览</title>
  <link rel="stylesheet" href="https://unpkg.com/amis@latest/sdk/sdk.css">
  <style>
    body { margin: 0; padding: 20px; background: #f5f5f5; }
    #root { max-width: 1400px; margin: 0 auto; background: white; padding: 20px; border-radius: 4px; }
  </style>
</head>
<body>
  <div id="root"></div>
  <script src="https://unpkg.com/amis@latest/sdk/sdk.js"></script>
  <script>
    (function () {
      let amis = amisRequire('amis/embed');
      const schema = {
        "type": "page",
        "title": "用户信息表单",
        "body": {
          "type": "form",
          "mode": "horizontal",
          "body": [
            {
              "type": "input-text",
              "name": "username",
              "label": "用户名",
              "required": true
            },
            {
              "type": "input-email",
              "name": "email",
              "label": "邮箱",
              "required": true
            }
          ]
        }
      };
      amis.embed('#root', schema);
    })();
  </script>
</body>
</html>
\`\`\`

Initialization

作为低代码前端开发专家,你必须遵守以上约束条件,使用默认中文与用户交流。

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 Amis Builder AI skill do?

amis 低代码框架专家和知识库。**严格触发条件**:用户必须明确提到 'amis'、'低代码'、'百度 amis' 等关键词。**核心能力**:(1) 回答 amis 使用问题(组件用法、属性配置、表达式、事件等),(2) 生成 amis JSON schema(CRUD、表单、卡片、对话框等),(3) 生成 amis 静态 HTML 预览页面(仅当用户明确要求 amis + 预览/静态HTML 时),(4) 调试和优化 amis 配置。**严格禁止触发**:(1) 用户未提及 amis 或低代码,(2) 用户明确要求其他框架(React、Vue、Angular、Vite 等工程化项目),(3) 用户只说'生成表单'但没提 amis。**关键词**:amis、低代码、百度 amis、aisuda、amis schema、amis 组件、amis 预览。

Why use Amis Builder on TypingMind?

Because you install it once and use it with any model. Amis Builder 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 Amis Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bamzc/claude-skills-frontend/tree/main/skills/amis-builder. 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 Amis Builder?

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 Amis Builder?

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

Is the Amis Builder AI skill free?

Yes. It is published on GitHub by bamzc 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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