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Developing Mobile Apps

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telagod
developing-mobile-apps

Mobile development knowledge reference covering iOS (SwiftUI), Android (Jetpack Compose), React Native, and Flutter. Use when building mobile apps, working with cross-platform frameworks, or implementing native UI patterns.

Overview

Publishertelagod
Repositorycode-abyss
Skill namedeveloping-mobile-apps
Stars
242
Forks
33
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Developing Mobile Apps 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/telagod/code-abyss/tree/main/skills/developing-mobile-apps
  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/telagod/code-abyss.git /tmp/code-abyss
mkdir -p .claude/skills
cp -r /tmp/code-abyss/skills/developing-mobile-apps .claude/skills/developing-mobile-apps
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Developing Mobile Apps 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 Developing Mobile Apps 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 Developing Mobile Apps 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.

移动开发域 · Mobile

判断先于执行:决定「是否做 / 选什么 / 如何取舍」(栈、方案、架构、权衡)前,先读领域判断内核 skills/_kernel/frontend/SKILL.md——它管 judgment,本秘典管 execution;冲突时以内核判断为准。

原生:iOS(SwiftUI/UIKit) | Android(Compose/Kotlin)
跨平台:React Native(TS) | Flutter(Dart)

iOS 检查项

SwiftUI 优先 | @MainActor 线程安全 | async/await | 依赖注入 | LazyVStack | Keychain 存敏感 | ViewModel 单测+Mock

Android 检查项

Compose 优先 | StateFlow 替代 LiveData | Hilt 注入 | Room 持久化 | key 优化 LazyColumn | remember 防重组 | ViewModel 单测(runTest)

跨平台检查项

列表优化(FlatList/ListView.builder+key) | 状态管理(RTK/Riverpod) | 原生桥接验证 | 冷启动<1.5s | 渲染>55fps

选型

Web 背景→RN | 极致动画/UI 定制→Flutter | 大量原生交互→RN | 极致原生体验→原生

SwiftUI/Compose/RN/Flutter API 详情详见 references/details.md

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 Developing Mobile Apps AI skill do?

Mobile development knowledge reference covering iOS (SwiftUI), Android (Jetpack Compose), React Native, and Flutter. Use when building mobile apps, working with cross-platform frameworks, or implementing native UI patterns.

Why use Developing Mobile Apps on TypingMind?

Because you install it once and use it with any model. Developing Mobile Apps 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 Developing Mobile Apps in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/telagod/code-abyss/tree/main/skills/developing-mobile-apps. 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 Developing Mobile Apps?

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 Developing Mobile Apps?

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

Is the Developing Mobile Apps AI skill free?

Yes. It is published on GitHub by telagod 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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