Uni App

Organization

uni-helper

uni-app

Comprehensive skill reference for uni-app cross-platform development framework

Overview

Publisher	uni-helper
Repository	`skills`
Skill name	`uni-app`
Stars	104
Forks	3
Bundled files	15
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.
15 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by uni-helper on GitHub. Read the source before you install it.

Installation

Install the Uni App 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.
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.

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/uni-helper/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/uniapp .claude/skills/uni-app

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

Use it in TypingMind

Enable Uni App 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 Uni App 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 Uni App 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.

The skill is based on uni-app documentation, generated at 2026-01-30.

uni-app is a Vue.js-based cross-platform framework for developing applications that run on iOS, Android, HarmonyOS, Web (responsive), and various mini-program platforms (WeChat/Alipay/Baidu/Douyin/Feishu/QQ/Kuaishou/DingTalk/Taobao/Jingdong/Xiaohongshu).

Core

Topic	Description	Reference
Core Framework	Project structure, platform support, condition compilation	core-framework
View Components	view, scroll-view, swiper, movable-area, cover-view	core-view-components
Form Components	input, textarea, picker, checkbox, radio, switch, slider	core-form-components

Features

UI Components

Topic	Description	Reference
Media Components	image, video, camera, live-player, map	feature-media-components
Navigation	navigator, routing, page navigation	feature-navigation
UI Feedback	toast, modal, loading, action sheet, pull refresh	feature-ui-feedback

APIs

Topic	Description	Reference
Network	HTTP requests, file upload/download, WebSocket	feature-network
Storage	Local storage, file system, caching	feature-storage
System Info	Device info, network status, screen, vibration	feature-system-info
File Operations	Image/video selection, file system operations	feature-file-operations
Location	Geolocation, map component, address selection	feature-location
Lifecycle	App and page lifecycle hooks	feature-lifecycle

Configuration

Topic	Description	Reference
pages.json	Page routing, tab bar, global styles, sub-packages	config-pages
manifest.json	App config, permissions, platform settings	config-manifest

Platform Support

Platform	Support Level
iOS App	Full support
Android App	Full support
HarmonyOS Next	Full support
H5/Web	Full support
WeChat Mini Program	Full support
Alipay Mini Program	Full support
Baidu Smart Program	Full support
Douyin Mini Program	Full support
QQ Mini Program	Full support
Kuaishou Mini Program	Full support
Feishu Mini Program	Full support
JD Mini Program	Full support
HarmonyOS Meta Service	Full support

Key Concepts

Condition Compilation

Use special comments to write platform-specific code:

vue
<!-- #ifdef APP-PLUS -->
<view>App only</view>
<!-- #endif -->

<!-- #ifdef MP-WEIXIN -->
<view>WeChat only</view>
<!-- #endif -->

API Promise Support

Most uni-app APIs support Promise when no callback is provided:

javascript
const res = await uni.request({ url: 'https://api.example.com' })

Cross-Platform Best Practices

Use uni-app components and APIs instead of platform-specific ones
Use condition compilation for platform-specific features
Test on all target platforms
Use rpx for responsive layouts
Handle platform differences in manifest.json
must use uni-helper tools

MCP扩展

当需要查询 uni-app 官方文档时，优先调用 search-docs-by-Uniapp-official MCP 工具搜索相关 API 文档和使用示例。

使用场景：

用户询问特定 API 的详细用法
需要官方文档中的代码示例
查询组件的属性和事件
了解 API 的平台兼容性

工具安装： 如果检测到该 MCP 工具不可用，引导用户访问 https://github.com/uni-helper/mcp 进行安装。

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 Uni App AI skill do?

Comprehensive skill reference for uni-app cross-platform development framework

Why use Uni App on TypingMind?

Because you install it once and use it with any model. Uni App 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 Uni App in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uni-helper/skills/tree/main/skills/uniapp. 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 Uni App?

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 Uni App?

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

Is the Uni App AI skill free?

Yes. It is published on GitHub by uni-helper 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

Core

Features

UI Components

APIs

Configuration

Platform Support

Key Concepts

Condition Compilation

API Promise Support

Cross-Platform Best Practices

MCP扩展

Bundled files

Frequently asked questions

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