Command Eas Deploy

Community

khadinakbarlabs

command-eas-deploy

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

Overview

Publisher	khadinakbarlabs
Repository	`expo-mobile-app-builder`
Skill name	`command-eas-deploy`
Stars	3
Forks	0
Bundled files	1
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.
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 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-eas-deploy
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-eas-deploy

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-eas-deploy .claude/skills/command-eas-deploy

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

Use it in TypingMind

Enable Command Eas Deploy 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 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 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

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 Update + EAS Submit orchestration"
argument-hint: "<context>"

/eas-deploy

Deploy via EAS. Choose: native build (binary change) or OTA update (JS-only change).

External action gate

This workflow may inspect a diff, prepare commands, and make a release plan locally. It must not run an EAS build or update, access an account, upload a binary, or change a rollout until the owner explicitly confirms the exact account, environment, channel, and action. A binary build and an OTA publication are separate confirmations.

Workflow

Detect change type: git diff for native files (ios/, android/, app.json, native modules in package.json).
If native change, use eas-build-profiles to prepare the intended eas build command and list the signing, store, and cost implications.
If JS-only, use eas-update-rollout to prepare the intended eas update command, a rollback target, and a staged rollout proposal.
Ask the owner to confirm the precise external command before running it.
For a native build, treat TestFlight or Play submission as a separate confirmed action; use the relevant submit skill only after the build is accepted.
For an OTA update, agree on monitoring signals and a ramp schedule before each percentage increase.
Output release notes, the prepared commands, rollout schedule, and every approval still needed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Command Eas Deploy AI skill do?

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

Why use Command Eas Deploy on TypingMind?

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

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?

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

Is the Command Eas Deploy 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

Command workflow: /eas-deploy

Workflow contract

/eas-deploy

External action gate

Workflow

Bundled files

Frequently asked questions

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