Agent Device logo

Agent Device

OrganizationPopular
callstackincubator
agent-device

Automates interactions for Apple-platform apps (iOS, tvOS, macOS) and Android devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info across mobile, TV, and desktop targets.

Overview

Publishercallstackincubator
Repositoryagent-skills
Skill nameagent-device
Stars
1.7K
Forks
118
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the Agent Device 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/callstackincubator/agent-skills/tree/main/plugins/vendored/.agents/skills/agent-device
  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/callstackincubator/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/vendored/.agents/skills/agent-device .claude/skills/agent-device
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Device 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 Agent Device 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 Agent Device 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.

agent-device

Use this skill as a router with mandatory defaults. Read this file first. For normal device tasks, always load references/bootstrap-install.md and references/exploration.md before acting. Use bootstrap to confirm or establish deterministic setup. Use exploration for UI inspection, interaction, and verification once the app session is open.

Default operating rules

  • Start conservative. Prefer read-only inspection before mutating the UI.
  • Use plain snapshot when the task is to verify what text or structure is currently visible on screen.
  • Use snapshot -i only when you need interactive refs such as @e3 for a requested action or targeted query.
  • Avoid speculative mutations. You may take the smallest reversible UI action needed to unblock inspection or complete the requested task, such as dismissing a popup, closing an alert, or clearing an unintended surface.
  • Do not browse the web or use external sources unless the user explicitly asks.
  • Re-snapshot after meaningful UI changes instead of reusing stale refs.
  • Prefer @ref or selector targeting over raw coordinates.
  • Ensure the correct target is pinned and an app session is open before interacting.
  • Keep the loop short: open -> inspect/act -> verify if needed -> close.

Default flow

  1. Load references/bootstrap-install.md and references/exploration.md before acting on a normal device task.
  2. Use bootstrap first to confirm or establish the correct target, app install, and open app session.
  3. Once the app session is open and stable, use exploration for inspection, interaction, and verification.
  4. Start with plain snapshot if the goal is to read or verify what is visible.
  5. Escalate to snapshot -i only if you need refs for interactive exploration or a requested action.
  6. Use get, is, or find before mutating the UI when a read-only command can answer the question.
  7. End by capturing proof if needed, then close.

QA modes

Required references

  • For every normal device task, after reading this file, load references/bootstrap-install.md first, then references/exploration.md, before acting.
  • Use bootstrap to confirm or establish deterministic setup, especially in sandbox or cloud environments.
  • Use exploration once the app session is open and stable.
  • Load additional references only when their scope is needed.

Decision rules

  • Use plain snapshot when you need to verify whether text is visible.
  • Use snapshot -i mainly for interactive exploration and choosing refs.
  • Use get, is, or find when they can answer the question without changing UI state.
  • Use fill to replace text.
  • Use type to append text.
  • When a task asks to "go back", use plain back for predictable app-owned navigation and reserve back --system for platform back gestures or button semantics.
  • Use type --delay-ms or fill --delay-ms for debounced search fields that drop characters when typed too quickly.
  • If there is no simulator, no app install, or no open app session yet, switch to bootstrap-install.md instead of improvising setup steps.
  • Use the smallest unblock action first when transient UI blocks inspection, but do not navigate, search, or enter new text just to make the UI reveal data unless the user asked for that interaction.
  • Do not use external lookups to compensate for missing on-screen data unless the user asked for them.
  • If the needed information is not exposed on screen, say that plainly instead of compensating with extra navigation, text entry, or web search.
  • Prefer @ref or selector targeting over raw coordinates.

Additional references

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 Agent Device AI skill do?

Automates interactions for Apple-platform apps (iOS, tvOS, macOS) and Android devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, or extracting UI info across mobile, TV, and desktop targets.

Why use Agent Device on TypingMind?

Because you install it once and use it with any model. Agent Device 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 Agent Device in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/callstackincubator/agent-skills/tree/main/plugins/vendored/.agents/skills/agent-device. 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 Agent Device?

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 Agent Device?

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

Is the Agent Device AI skill free?

Yes. It is published on GitHub by callstackincubator 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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