Android Emulator

OrganizationPopular

callstack

android-emulator

Verify and debug native, React Native, Expo, or Flutter apps on an Android Emulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an Android virtual device.

Overview

Publisher	callstack
Repository	`agent-device`
Skill name	`android-emulator`
Stars	4.8K
Forks	315
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by callstack on GitHub. Read the source before you install it.

Installation

Install the Android Emulator 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/callstack/agent-device/tree/main/skills/android-emulator
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/callstack/agent-device.git /tmp/agent-device
mkdir -p .claude/skills
cp -r /tmp/agent-device/skills/android-emulator .claude/skills/android-emulator

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

Use it in TypingMind

Enable Android Emulator 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 Android Emulator 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 Android Emulator 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.

Android Emulator

Require the agent-device CLI to be installed separately before driving an emulator:

bash
npm install -g agent-device@latest

Treat installation and upgrades as user-owned setup steps. Do not run that command autonomously or substitute a mutable npx -y agent-device@latest invocation.

For a normal app-driving task, start immediately. Do not probe first with --help, --version, devices, appstate, snapshot, or screenshot. Target Android explicitly when opening an app or package id:

bash
agent-device open <app-or-package-id> --platform android --foreground

Follow the initial interactive snapshot and corrective error hints. If the shell reports that agent-device is unavailable, stop and ask the user to install it or expose their existing installation on PATH.

Only when the task is specialized or a command shape is unclear, read the relevant version-matched help topic:

bash
agent-device help validate        # engineering validation and build freshness
agent-device help debugging       # screenshots, logs, traces, video, and failures
agent-device help react-native    # React Native and Expo runtime guidance
agent-device help react-devtools  # component tree, props/state/hooks, and renders
agent-device help scripting       # durable replay and CI workflows

Frequently asked questions

What does the Android Emulator AI skill do?

Why use Android Emulator on TypingMind?

Because you install it once and use it with any model. Android Emulator 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 Android Emulator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/callstack/agent-device/tree/main/skills/android-emulator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Android Emulator?

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 Android Emulator?

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

Is the Android Emulator AI skill free?

Yes. It is published on GitHub by callstack 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

Android Emulator

Frequently asked questions

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