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Developer Device Platform Basics

OrganizationPopular
google
developer-device-platform-basics

Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.

Overview

Publishergoogle
Repositoryskills
Skill namedeveloper-device-platform-basics
Stars
20.5K
Forks
1.7K
Bundled files
10
LicenseApache-2.0
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Developer Device Platform Basics 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/google/skills/tree/main/skills/cloud/developer-device-platform-basics
  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/google/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/cloud/developer-device-platform-basics .claude/skills/developer-device-platform-basics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Developer Device Platform Basics 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 Developer Device Platform Basics 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 Developer Device Platform Basics 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.

Developer Device Platform

Developer Device Platform (DDP) is a Google fully managed, global infrastructure providing access to a wide variety of physical and virtual devices.

[!WARNING] Developer Device Platform (DDP) is currently at Preview.

[!IMPORTANT] For all devicerun and devicestreaming API operations (reserving, status checking, stopping/canceling, updating, or listing a session), always verify and use the exact instructions and curl commands provided in the linked reference .md files.

Authentication & Setup

CRITICAL: Before running any requests, you MUST ensure the environment is correctly initialized by following these steps:

Before running any requests, verify if the gcloud executable is present. If missing, refer to the official Google Cloud CLI Installation Guide to install it on the current platform (Linux, macOS, Windows, etc.).

  1. Google Cloud Authentication: Authenticate with your Google Cloud credentials and configure active Application Default Credentials (ADC) for the Developer Device Platform:

    bash
    gcloud auth login --no-browser
    gcloud auth application-default login --no-browser
  2. Enable APIs (if not already enabled):

    bash
    gcloud services enable devicerun.googleapis.com devicestreaming.googleapis.com testing.googleapis.com --quiet

[!NOTE] Cloud Testing API is needed for Device Streaming API during Preview.

  1. Enable gcloud beta component:

    bash
    gcloud components install beta
  2. Setup Environment Variables: Set up the required project variable and access token:

    bash
    export PROJECT_ID=$(gcloud config get project)
    export ACCESS_TOKEN=$(gcloud auth application-default print-access-token 2>/dev/null)
  3. Python Environment: For instructions on setting up the python virtual environment, see start_adb_forwarder.md.

Listing Available Devices

To find the correct modelCode and osVersion to use when starting a session, you can list the available devices:

  1. List Models: Run the following command to list available Android device models:

    bash
    gcloud beta device-run devices list

    Use the ID column to find the value for the CATALOG_ID parameter to describe a specific device (e.g., shiba-36).

  2. Describe a Model: Run the API request to get more details about a specific model (e.g., supportedProducts, resolution). Always rely on the exact curl command and instructions provided in describe_device.md.

Starting a Device Session

When the user asks to reserve or connect to a device:

  1. Check Device Availability:

    Look up CATALOG_ID of the device using Listing Available Devices instructions. Check the device availability of the CATALOG_ID by using the exact curl command and instructions provided in describe_device.md. The device MUST contain "deviceStreaming" in "supportedProducts" to be reserved.

    If no specific device is specified, use CATALOG_ID=shiba-34 (Pixel 8 on SDK 34).

    If OS_VERSION was not specified by the user, ask the user to select a version from the device list (preferring the version with the highest availability {"available": "AVAILABILITY_HIGH" }).

    If OS_VERSION is unavailable for deviceStreaming, do not reserve one. Prompt the user for an alternative OS_VERSION.

  2. Extract Parameters:

    • model_id: modelCode from device details. Required.
    • version_id: osVersion from device details. Required.
  3. Reserve Device:

    Rule: Explicit User Confirmation Required. Reserving a device incurs billing charges and creates cloud resources. The agent MUST ALWAYS warn the user explicitly about the billing costs that will be incurred on the active Google Cloud project (e.g., ${PROJECT_ID}). You MUST STOP and ask for explicit approval before proceeding with any session creation commands.

    Then, run the API request with model_id and version_id to reserve the device. Always rely on the exact curl command and instructions provided in reserve_device.md.

    Parse the response to get session_name (the session name, e.g., projects/${PROJECT_ID}/deviceSessions/session-xxxxxx). If reservation fails, report the error.

  4. Wait for Session to be Active:

    While waiting for the device session to be provisioned, poll the session status until "state" is "ACTIVE". See session_status.md for the exact curl command.

    Repeat this check every 5 seconds to prevent hitting API rate limit. If it does not become active within 2 minutes (typically under 1 minute), report failure and cancel the session. Once active, extract expireTime from the session JSON response and convert it to the user's local time in a human-readable format (e.g., "June 9, 2026 at 2:44 PM PDT").

  5. Start Connection Forwarder: Start the ADB forwarder script to forward connection to the remote device. Always rely on the exact command and instructions provided in start_adb_forwarder.md. Ensure you record the Command ID.

  6. Wait for Online and Parse Port: Wait for the forwarder to be online and extract the listening port. Always rely on the exact logic and instructions provided in start_adb_forwarder.md.

  7. Provide Instructions to User:

    Once online, run adb -s localhost:{port} shell getprop ro.product.model to retrieve the device model name. Then, print a message directly to the user in the chat (do NOT create any artifact file) with the following instructions:

    Device is ready!

    Device Model: {device_model}
    OS Version: {version_id}
    ADB Address: localhost:{port}
    Session Expiration: {expire_time_human_readable_local}
  8. Save Session State: Save the {session_name} and {command_id} in your conversation memory/context so you can clean it up later.

Viewing the Device Screen of a Reserved Device

The coding agent can directly interact with the remote device using adb. Users may use a utility to display the screen and manually control the reserved device in DDP. See view_device.md for an example utility.

Stopping a Device Session

When the user asks to stop, cleanup, or release the device:

  1. Identify Session: Retrieve the active {session_name} and {command_id} from your context. If you don't have them, list active sessions first (see helper command below) to find the session name.

  2. Cancel Session via API: Cancel the session via the API. Always rely on the exact curl command and instructions provided in cancel_session.md.

  3. Terminate Connection Forwarder: Terminate the background process matching {command_id} using your environment's process management capability.

  4. Confirm: Confirm to the user that the session has been cancelled and resources released.

Change Device Session Expiration Time

When the user asks to change the expiration time of an active device session:

Rule: Explicit User Confirmation Required. Extending a device session incurs additional billing charges and creates cloud resources. The agent MUST ALWAYS warn the user explicitly about the extra billing costs that will be incurred on the active Google Cloud project (e.g., ${PROJECT_ID}). You MUST STOP and ask for explicit approval before proceeding with any session extension commands.

  1. Extract Parameters:

    • session_name: The active session name.
    • ttl: The new remaining duration (e.g., 3600s). Derive the ttl if it's provided in another format.
  2. Change Session via API: Change the session via the API using updateMask=ttl. Always rely on the exact curl commands and instructions provided in update_session_expiration.md.

  3. Restart Connection Forwarder:

    • Run adb disconnect localhost:{port} to ensure the old forwarder connection is closed.
    • Stop the old connection forwarder corresponding to {command_id}.
    • Start a new connection forwarder by following Step 5 in "Starting a Device Session" (calculating the new --ttl duration in seconds and storing the newly returned Command ID).
  4. Confirm: Confirm to the user that the session duration has been updated and the connection forwarder has been restarted with the new TTL.

Helper: List Active Sessions

To find active sessions if you lost context, always rely on the curl command and instructions provided in list_sessions.md.

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 Developer Device Platform Basics AI skill do?

Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP). Use when reserving remote Android devices, establishing connection tunnels, checking session status, or extending/cancelling leases. Don't use for iOS or local device/hardware inquiries.

Why use Developer Device Platform Basics on TypingMind?

Because you install it once and use it with any model. Developer Device Platform Basics 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 Developer Device Platform Basics in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/skills/tree/main/skills/cloud/developer-device-platform-basics. 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 Developer Device Platform Basics?

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 Developer Device Platform Basics?

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

Is the Developer Device Platform Basics AI skill free?

Yes. It is published on GitHub by google under the Apache-2.0 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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