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Command Eas Deploy Android

Community
khadinakbarlabs
command-eas-deploy-android

Coordinate the cross-platform /eas-deploy-android workflow for Expo projects. Use when the user asks for this outcome.

Overview

Publisherkhadinakbarlabs
Repositoryexpo-mobile-app-builder
Skill namecommand-eas-deploy-android
Stars
3
Forks
0
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 khadinakbarlabs on GitHub. Read the source before you install it.

Installation

Install the Command Eas Deploy Android 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/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/command-eas-deploy-android
  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/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/command-eas-deploy-android .claude/skills/command-eas-deploy-android
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Command Eas Deploy Android 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 Eas Deploy Android 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 Eas Deploy Android 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.

Command workflow: /eas-deploy-android

Use this as a host-agnostic workflow. Adapt command names and capabilities to the active coding-agent host.

Workflow contract

yaml
description: "EAS build + EAS submit + EAS update orchestration for Android"
argument-hint: "<context>"

/eas-deploy-android

EAS build + EAS submit + EAS update orchestration for Android

External action gate

Use this workflow to inspect, validate, and prepare an Android release plan. Do not run EAS, access Play Console, read a service-account key, create a build, upload an AAB, or change a release track without the owner's explicit confirmation of that specific action and target account.

Workflow

This command coordinates the relevant skills from the project root. It does not assume that sub-agents, accounts, or credentials are available.

Steps depend on the release context (see relevant skills in the plugin). Prepare a local checklist, command preview, rollback plan, and requested confirmation before any external action.

Related skills

Related skills live in skills/.

See plugin README.md for full skill index.

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 Eas Deploy Android AI skill do?

Coordinate the cross-platform /eas-deploy-android workflow for Expo projects. Use when the user asks for this outcome.

Why use Command Eas Deploy Android on TypingMind?

Because you install it once and use it with any model. Command Eas Deploy Android 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 Eas Deploy Android in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/command-eas-deploy-android. 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 Eas Deploy Android?

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 Eas Deploy Android?

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

Is the Command Eas Deploy Android 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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