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Three Tomato
ASecurity将需求文档转换为多端原生开发代码,支持 Android、iOS、鸿蒙、小程序、快应用、H5、Web、macOS、Windows 等 17 个平台。原生优先,AI 友好技术栈。
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- Added October 17, 2026
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[](https://www.skillsdirectory.com/skills/diegosouzapw-three-tomato)---
name: three-tomato
description: 将需求文档转换为多端原生开发代码,支持 Android、iOS、鸿蒙、小程序、快应用、H5、Web、macOS、Windows 等 17 个平台。原生优先,AI 友好技术栈。
license: MIT
---
# Three-Tomato
将需求文档转换为多端**原生**开发代码,支持 Android、iOS、鸿蒙、小程序、快应用、H5、Web、macOS、Windows 等 17 个平台。
> **核心原则**:原生优先,AI 友好技术栈(数据集大、文档丰富)
## Overview
This skill enables AI Agents to analyze requirement documents and generate **native** platform-specific code using AI-friendly tech stacks with large training datasets.
## Supported Platforms
| Platform | Code | Language/Framework | AI-Friendly Reason |
|----------|------|-------------------|-------------------|
| **原生移动端** | | | |
| Android | `android` | Kotlin + Jetpack Compose | Kotlin 数据集大,Compose 声明式 UI |
| iOS | `ios` | Swift + SwiftUI | Swift 现代语法,SwiftUI 声明式 |
| HarmonyOS | `harmony` | ArkTS + ArkUI | TypeScript 超集,AI 熟悉 |
| **小程序** | | | |
| WeChat Mini Program | `wechat-mp` | TypeScript + 原生 WXML | TS 类型安全,文档丰富 |
| Alipay Mini Program | `alipay-mp` | TypeScript + 原生 AXML | 同上 |
| Baidu Mini Program | `baidu-mp` | TypeScript + 原生 Swan | 同上 |
| Quick App | `quick-app` | TypeScript | 类 Vue 语法 |
| **Web** | | | |
| H5 Mobile | `h5` | TypeScript + React | React 优先,数据集最大 |
| Web Desktop | `web` | TypeScript + React + Next.js | SSR/SSG,企业级首选 |
| **桌面原生** | | | |
| macOS | `macos` | Swift + SwiftUI | 原生 Apple 生态 |
| Windows | `windows` | C# + WinUI 3 | .NET 生态成熟,AI 友好 |
| **跨端移动** | | | |
| Flutter | `flutter` | Dart + Riverpod | 高性能,声明式 UI |
| React Native | `react-native` | TypeScript + Zustand | React 生态,AI 友好 |
| Uni-app | `uni-app` | Vue 3 + TypeScript | 一套代码多端运行 |
| Taro | `taro` | React + TypeScript | 京东出品,React 生态 |
| **跨端桌面** | | | |
| Electron | `electron` | React + TypeScript | Web 技术栈,成熟稳定 |
| Tauri | `tauri` | Rust + React | 高性能,体积小 |
## Trigger Commands
### Code Generation
```
🤖 "transform to [platform]"
🤖 "generate [platform] code"
🤖 "convert requirement to multi-platform"
🤖 "create platform specs"
🤖 "转换为[平台]代码"
🤖 "生成多端代码"
```
### Self-Evolution
```
🧬 "3T evolve" / "3T 总结归纳进化"
🧬 "3T log issue [description]" / "3T 记录问题 [描述]"
🧬 "3T show evolution log" / "3T 查看进化日志"
```
## Workflow
### Evolution Workflow (3T evolve / 3T 总结归纳进化)
When `3T evolve` command is triggered, AI Agent executes:
#### Step 1: Collect Feedback
1. Scan `.three-tomato/feedback/issues/` for issue records
2. Analyze compile/runtime errors in `.three-tomato/output/`
3. Identify patterns from user's manual code fixes
#### Step 2: Categorize Issues
1. Group by platform (Android/iOS/Mini Programs, etc.)
2. Group by type (syntax error/API changes/best practices/architecture)
3. Calculate issue frequency
#### Step 3: Update Knowledge
1. Update `references/patterns/known-issues.yaml` - known issues database
2. Update `references/patterns/best-practices.yaml` - best practices
3. Update platform-specific `plugins/[platform]-generator/PLUGIN.md`
4. Log changes to `.three-tomato/evolution/changelog.md`
#### Step 4: Validate Improvements
1. Generate test cases for high-frequency issues
2. Verify improved templates resolve the issues
3. Output evolution report to `.three-tomato/evolution/reports/`
---
### Phase 1: Requirement Analysis
1. Read requirement document from `.three-tomato/requirements/` or specified path
2. Parse and extract:
- Feature specifications
- UI/UX requirements
- Data models
- API interfaces
- Business logic flows
### Phase 2: Platform Selection
1. Read `.three-tomato/config.yaml` for target platforms
2. Check enabled plugins in `plugins/_registry.yaml`
3. Determine output platforms based on user command or config
### Phase 3: Code Generation
For each target platform:
1. Load platform-specific templates from `references/templates/[platform]/`
2. Apply tech stack configurations
3. Generate:
- Project structure
- UI components
- Data models
- API clients
- Business logic
- Platform-specific configurations
### Phase 4: Output & Validation
1. Write generated code to `.three-tomato/output/[platform]/`
2. Generate comparison matrix
3. Create migration guides between platforms
## Configuration
Read configuration from `.three-tomato/config.yaml`:
```yaml
# Target platforms to generate
platforms:
- android
- ios
- wechat-mp
- h5
# AI-Friendly Tech Stack (原生优先,数据集大)
tech_stack:
android:
language: kotlin # AI 数据集大
ui: compose # 声明式,AI 友好
architecture: mvvm
di: hilt
network: retrofit + okhttp
async: coroutines
ios:
language: swift # 现代语法,AI 熟悉
ui: swiftui # 声明式 UI
architecture: mvvm
network: urlsession # 原生优先
async: async-await
harmony:
language: arkts # TypeScript 超集
ui: arkui
architecture: mvvm
wechat-mp:
language: typescript # 类型安全,AI 友好
framework: native # 原生开发
alipay-mp:
language: typescript
framework: native
baidu-mp:
language: typescript
framework: native
quick-app:
language: typescript
h5:
language: typescript
framework: react # React 优先,数据集最大
ui: antd-mobile
bundler: vite
web:
language: typescript
framework: react # React 优先
meta_framework: nextjs # SSR/SSG 支持
ui: antd / shadcn-ui
state: zustand
macos:
language: swift
ui: swiftui
architecture: mvvm
windows:
language: csharp # C# AI 数据集大
ui: winui3 # 现代 Windows UI
architecture: mvvm
# Output settings
output:
directory: .three-tomato/output
include_tests: true
include_docs: true
language: zh-CN
```
## Plugin System
### Hook Points
Plugins can extend functionality at these hooks:
- `before_analyze` - Pre-process requirement documents
- `after_analyze` - Post-process extracted requirements
- `before_generate` - Modify generation parameters
- `on_generate` - Custom code generation logic
- `after_generate` - Post-process generated code
- `on_export` - Custom export formats
### Plugin Commands
```
📋 "list platform plugins"
📦 "install plugin <source>"
✅ "enable plugin <name>"
❌ "disable plugin <name>"
```
### Built-in Plugins
| Plugin | Description |
|--------|-------------|
| **原生平台** | |
| `android-generator` | Android 原生 (Kotlin + Compose) |
| `ios-generator` | iOS 原生 (Swift + SwiftUI) |
| `harmony-generator` | HarmonyOS (ArkTS + ArkUI) |
| `wechat-mp-generator` | 微信小程序 (TypeScript) |
| `alipay-mp-generator` | 支付宝小程序 (TypeScript) |
| `baidu-mp-generator` | 百度智能小程序 (TypeScript) |
| `quick-app-generator` | 快应用 (TypeScript) |
| `h5-generator` | H5 移动端 (React + TypeScript) |
| `web-generator` | Web 桌面端 (Next.js + React) |
| `macos-generator` | macOS 原生 (Swift + SwiftUI) |
| `windows-generator` | Windows 原生 (C# + WinUI 3) |
| **跨端框架** | |
| `flutter-generator` | Flutter (Dart + Riverpod) |
| `rn-generator` | React Native (TypeScript + Zustand) |
| `uni-app-generator` | Uni-app (Vue 3 + TypeScript) |
| `taro-generator` | Taro (React + TypeScript) |
| `electron-generator` | Electron (React + TypeScript) |
| `tauri-generator` | Tauri (Rust + React) |
| **工具类** | |
| `api-sync` | 跨平台 API 定义同步 |
| `ui-converter` | UI 组件跨平台转换 |
| `i18n-sync` | 国际化资源同步 |
| `diff-report` | 平台差异报告生成 |
## Output Structure
```
.three-tomato/
├── config.yaml # Main configuration
├── requirements/ # Input requirement documents
│ ├── PRD.md # Product requirement document
│ ├── api.yaml # API specifications
│ └── ui-specs/ # UI design specs
├── cache/ # Incremental cache
├── output/ # Generated code
│ ├── android/ # Kotlin + Compose
│ ├── ios/ # Swift + SwiftUI
│ ├── harmony/ # ArkTS + ArkUI
│ ├── wechat-mp/ # TypeScript 原生
│ ├── alipay-mp/ # TypeScript 原生
│ ├── baidu-mp/ # TypeScript 原生
│ ├── quick-app/ # TypeScript
│ ├── h5/ # React + TypeScript
│ ├── web/ # Next.js + React
│ ├── macos/ # Swift + SwiftUI
│ ├── windows/ # C# + WinUI 3
│ └── _shared/ # 共享资源
│ ├── models/ # 数据模型定义
│ ├── api/ # API 接口定义
│ └── assets/ # 共享资源文件
├── reports/ # Analysis reports
│ ├── comparison.md # Platform comparison
│ ├── migration.md # Migration guide
│ └── compatibility.md # Compatibility matrix
└── i18n/ # Multi-language docs
├── en/
└── zh/
```
## Important Instructions
### For AI Agent:
1. **Always read config first**: Check `.three-tomato/config.yaml` before generation
2. **Respect tech stack**: Use configured frameworks and libraries
3. **Maintain consistency**: Ensure data models and API calls are consistent across platforms
4. **Platform idioms**: Follow each platform's best practices and conventions
5. **Protocol Retention**:
- If requirement/legacy uses **gRPC**:
- **Supported Platforms** (iOS, Android, Windows, macOS, Flutter): **MUST use gRPC** to maintain high performance and type safety.
- **Restricted Platforms** (Mini Programs, H5): **Fallback to HTTP/JSON** (via Envoy/Gateway).
- If requirement uses REST/GraphQL: Use standard HTTP clients.
6. **Incremental updates**: Only regenerate changed parts using cache
7. **Preserve user content**: Content marked with `<!-- user-content -->` must not be overwritten
### Code Quality Standards:
- Follow platform-specific coding guidelines
- Include proper error handling
- Add necessary comments (in configured language)
- Generate unit tests when `include_tests: true`
- Create platform-specific README with setup instructions
### Cross-Platform Consistency:
- Unified data model definitions
- Consistent API interface naming
- Shared business logic documentation
- Synchronized i18n resources
## References
- Templates: `references/templates/`
- Prompts: `references/prompts/`
- Examples: `references/examples/`
- Platform Guides: `docs/platforms/`
## Version
- Skill Version: 1.0.1
- Last Updated: 2026-01-30
- Author: three-tomato
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