Command Scaffold App

Community

khadinakbarlabs

command-scaffold-app

Plan and scaffold a new Expo SDK 54 mobile app for both iOS and Android. Use when the user asks to create, bootstrap, or start an Expo or React Native app with TypeScript, navigation, local state, testing, and a safe release foundation.

Overview

Publisher	khadinakbarlabs
Repository	`expo-mobile-app-builder`
Skill name	`command-scaffold-app`
Stars	3
Forks	0
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by khadinakbarlabs on GitHub. Read the source before you install it.

Installation

Install the Command Scaffold 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.
https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/command-scaffold-app
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/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/command-scaffold-app

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/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/command-scaffold-app .claude/skills/command-scaffold-app

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

Use it in TypingMind

Enable Command Scaffold 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 Command Scaffold 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 Command Scaffold 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.

Scaffold an Expo app

Create the smallest cross-platform foundation that meets the stated product goal. Treat all account setup, signing, builds, uploads, and publishing as separate user-authorized steps.

Workflow

Confirm the app name, target users, core outcome, supported platforms, offline/backend needs, and whether the user wants a local scaffold now.
Scope a small first release before generating code. Draft or delegate screen flows only when the host supports it.
Use the SDK 54 baseline in the Expo reference: TypeScript, Expo Router where file-based navigation fits, and npm exec --no -- expo install for Expo-compatible dependencies.
Use scripts/plan-expo-project.mjs when a deterministic scaffold checklist is useful. It validates a project name and prints the local commands; it never logs in, creates provider accounts, or handles credentials.
Add only the capabilities the app needs. Typical local choices are state management, secure local storage, image handling, haptics, and a test runner. Do not add RevenueCat, analytics, push, a backend, or native modules unless the product requires them.
Add an AGENTS.md stack contract with set-up-project-guidance after the user confirms the project structure.
Run local lint, type, and platform smoke checks before proposing EAS configuration. Do not start an EAS build, create signing credentials, upload a binary, or submit to a store without a named target and a fresh confirmation.

Output

Return the directory shape, local commands, dependency rationale, validation plan, and clearly separated future account/release steps. Never include credential values in generated files or chat output.

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 Command Scaffold App AI skill do?

Why use Command Scaffold App on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/command-scaffold-app. 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 Command Scaffold 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 Command Scaffold App?

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

Is the Command Scaffold App AI skill free?

Yes. It is published on GitHub by khadinakbarlabs 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

Scaffold an Expo app

Workflow

Output

Bundled files

Frequently asked questions

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