android-device-automation
web-infra-dev/midscene-skills
Vision-driven Android automation from screenshots using natural language commands via ADB.
What is android-device-automation?
Automate Android devices entirely from visual screenshots without requiring DOM or accessibility labels. Control any visible UI element using natural language commands to tap, swipe, type, launch apps, and verify screen states. Powered by Midscene.js with support for multiple AI vision models.
- Tap, double-tap, long-press, and interact with any visible UI element on Android screens
- Type text, clear fields, scroll, swipe, and perform multi-finger gestures like zoom
- Launch apps by package name or URI, and navigate using system buttons (Back, Home, Recent)
- Take screenshots and analyze screen state to decide next actions
- Assert and verify screen conditions using natural language validation
- Run raw ADB shell commands for lower-level device control
How to install android-device-automation
npx skills add https://github.com/web-infra-dev/midscene-skills --skill android-device-automation- Android device or emulator connected via ADB
- ADB (Android Debug Bridge) installed and configured
- Vision-capable AI model with API key (Gemini, Qwen, Doubao, or Zhipu GLM)
- Environment variables configured: MIDSCENE_MODEL_API_KEY, MIDSCENE_MODEL_NAME, MIDSCENE_MODEL_BASE_URL, MIDSCENE_MODEL_FAMILY
- Node.js and npm to run npx commands
How to use android-device-automation
- 1.Install the skill: npx skills add https://github.com/web-infra-dev/midscene-skills --skill android-device-automation
- 2.Configure your vision model by setting required environment variables in .env or system environment
- 3.Connect to an Android device: npx -y @midscene/android@1 connect (or specify --device-id for a specific device)
- 4.Take a screenshot to see the current state: npx -y @midscene/android@1 take_screenshot
- 5.Use act to perform actions: npx -y @midscene/android@1 act --prompt "your natural language instruction"
- 6.Use assert to verify screen state: npx -y @midscene/android@1 assert --prompt "condition to check"
- 7.Repeat steps 4-6, reading each screenshot before deciding the next action (never run commands in background)
Use cases
- End-to-end testing of Android apps without modifying source code or adding test instrumentation
- Mobile app QA verification by visually checking UI elements and user flows
- Automating repetitive tasks on Android devices like app installation, configuration, and data entry
- Visual regression testing by comparing screenshots across app versions
- Cross-device testing by targeting specific Android devices via device ID
- QA engineers testing Android applications
- Mobile app developers automating device testing workflows
- Test automation engineers building CI/CD pipelines for mobile apps
- DevOps teams managing Android device farms
- Anyone needing to automate Android UI interactions without app source code access
android-device-automation FAQ
Commonly used models include Doubao Seed 2.0 Lite, Qwen 3.5, Zhipu GLM-4.6V, Gemini-3-Pro, and Gemini-3-Flash. See Model Configuration documentation for the full list of supported providers.
Yes, use the --device-id flag on any command (connect, take_screenshot, act, assert) to target a specific device from adb devices output.
Midscene requires a screenshot-analyze-act loop. Running commands in background breaks this cycle because you cannot read the output and screenshots before deciding the next action. Each command must complete synchronously.
Typical commands take about 1 minute due to AI inference and screen interaction. Complex act commands may need longer. Allow sufficient time before running the next command.
No. Midscene operates entirely from screenshots and does not require DOM access, accessibility labels, or app instrumentation. It works with any visible UI element.
Full instructions (SKILL.md)
Source of truth, from web-infra-dev/midscene-skills.
name: android-device-automation description: > Vision-driven Android device automation using Midscene. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control Android devices with natural language commands via ADB. Perform taps, swipes, text input, app launches, screenshots, and more.
Trigger keywords: android, phone, mobile app, tap, swipe, install app, open app on phone, android device, mobile automation, adb, launch app, mobile screen, test android app, verify mobile app, QA on phone, check the app on android, test on device, see if the app works on phone, end-to-end test on android, visual verification on mobile
Powered by Midscene.js (https://midscenejs.com) allowed-tools:
- Bash
Android Device Automation
CRITICAL RULES — VIOLATIONS WILL BREAK THE WORKFLOW:
- Never run midscene commands in the background. Each command must run synchronously so you can read its output (especially screenshots) before deciding the next action. Background execution breaks the screenshot-analyze-act loop.
- Run only one midscene command at a time. Wait for the previous command to finish, read the screenshot, then decide the next action. Never chain multiple commands together.
- Allow enough time for each command to complete. Midscene commands involve AI inference and screen interaction, which can take longer than typical shell commands. A typical command needs about 1 minute; complex
actcommands may need even longer.- Always report task results before finishing. After completing the automation task, you MUST proactively summarize the results to the user — including key data found, actions completed, screenshots taken, and any relevant findings. Never silently end after the last automation step; the user expects a complete response in a single interaction.
Automate Android devices using npx -y @midscene/android@1. Each CLI command maps directly to an MCP tool — you (the AI agent) act as the brain, deciding which actions to take based on screenshots.
What act Can Do
Inside a single act call on Android, Midscene can tap, double-tap, long-press, type, clear text, scroll or swipe in any direction, pull to refresh, drag items, zoom with two fingers, press keys, and use system navigation such as Back, Home, or recent apps while working from the current visible screen.
Prerequisites
Midscene requires models with strong visual grounding capabilities. The following environment variables must be configured — either as system environment variables or in a .env file in the current working directory (Midscene loads .env automatically):
MIDSCENE_MODEL_API_KEY="your-api-key"
MIDSCENE_MODEL_NAME="model-name"
MIDSCENE_MODEL_BASE_URL="https://..."
MIDSCENE_MODEL_FAMILY="family-identifier"
Example: Gemini (Gemini-3-Flash)
MIDSCENE_MODEL_API_KEY="your-google-api-key"
MIDSCENE_MODEL_NAME="gemini-3-flash"
MIDSCENE_MODEL_BASE_URL="https://generativelanguage.googleapis.com/v1beta/openai/"
MIDSCENE_MODEL_FAMILY="gemini"
Example: Qwen 3.5
MIDSCENE_MODEL_API_KEY="your-aliyun-api-key"
MIDSCENE_MODEL_NAME="qwen3.5-plus"
MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
MIDSCENE_MODEL_FAMILY="qwen3.5"
MIDSCENE_MODEL_REASONING_ENABLED="false"
# If using OpenRouter, set:
# MIDSCENE_MODEL_API_KEY="your-openrouter-api-key"
# MIDSCENE_MODEL_NAME="qwen/qwen3.5-plus"
# MIDSCENE_MODEL_BASE_URL="https://openrouter.ai/api/v1"
Example: Doubao Seed 2.0 Lite
MIDSCENE_MODEL_API_KEY="your-doubao-api-key"
MIDSCENE_MODEL_NAME="doubao-seed-2-0-lite"
MIDSCENE_MODEL_BASE_URL="https://ark.cn-beijing.volces.com/api/v3"
MIDSCENE_MODEL_FAMILY="doubao-seed"
Commonly used models: Doubao Seed 2.0 Lite, Qwen 3.5, Zhipu GLM-4.6V, Gemini-3-Pro, Gemini-3-Flash.
If the model is not configured, ask the user to set it up. See Model Configuration for supported providers.
Commands
Common Android CLI Flags
Use these flags on commands that create or use the Android agent, such as connect, take_screenshot, act, assert, and tap:
--device-id <id>: Target a specific Android device fromadb devices.--use-scrcpy: Enable scrcpy accelerated screenshots. Use this when normal screenshot capture is slow or unstable. Because CLI invocations are stateless, pass this flag on each Android Midscene command where you want scrcpy-based screenshots.
Connect to Device
npx -y @midscene/android@1 connect
npx -y @midscene/android@1 connect --device-id emulator-5554
npx -y @midscene/android@1 connect --device-id emulator-5554 --use-scrcpy
Launch an App or URL
Use the dedicated launch step when you want a deterministic starting point before the rest of the task:
npx -y @midscene/android@1 launch --uri https://www.ebay.com
npx -y @midscene/android@1 launch --uri com.android.settings
npx -y @midscene/android@1 launch --uri com.android.settings/.Settings
Run a Raw Android Shell Command
Use this when the task needs lower-level device control that is not best expressed as a visible UI interaction:
npx -y @midscene/android@1 runadbshell --command "dumpsys battery"
This is forwarded to adb shell on the connected device. In practice, the underlying command is adb -s <deviceId> shell dumpsys battery and some environments may also include the default ADB server port, such as adb -P 5037 -s <deviceId> shell dumpsys battery.
Take Screenshot
npx -y @midscene/android@1 take_screenshot
npx -y @midscene/android@1 take_screenshot --device-id emulator-5554 --use-scrcpy
After taking a screenshot, read the saved image file to understand the current screen state before deciding the next action.
Perform Action
Use act to interact with the device and get the result. It autonomously handles all UI interactions internally — tapping, typing, scrolling, swiping, waiting, and navigating — so you should give it complex, high-level tasks as a whole rather than breaking them into small steps. Describe what you want to do and the desired effect in natural language:
# specific instructions
npx -y @midscene/android@1 act --prompt "type hello world in the search field and press Enter"
npx -y @midscene/android@1 act --prompt "long press the message bubble and tap Delete in the popup menu"
npx -y @midscene/android@1 act --device-id emulator-5554 --use-scrcpy --prompt "type hello world in the search field and press Enter"
# or target-driven instructions
npx -y @midscene/android@1 act --prompt "open Settings and navigate to Wi-Fi settings, tell me the connected network name"
Assert Current Screen State
Use assert to verify that the current screen satisfies a natural language condition. It does not perform UI actions; it checks the visible screen state and passes only when the assertion is true. Use this for validation, QA checks, and final state verification after act.
npx -y @midscene/android@1 assert --prompt "there is a login button visible"
npx -y @midscene/android@1 assert --prompt "the settings screen shows Wi-Fi and Bluetooth options"
npx -y @midscene/android@1 assert --device-id emulator-5554 --prompt "the app shows a successful login message"
npx -y @midscene/android@1 assert --device-id emulator-5554 --use-scrcpy --prompt "the app shows a successful login message"
By default a failed assertion throws an AI-generated reason. Pass --message to throw a custom error message instead, which is useful for surfacing the intended outcome in QA and CI logs.
npx -y @midscene/android@1 assert \
--prompt "the order confirmation screen is visible" \
--message "the order should be confirmed after tapping Pay"
When the assertion needs to compare against a reference image (icon, logo, screenshot), pass --image for the URL/path and --image-name for its display name. Each --image may be an http(s) link, a data: URI, or a local file path. Repeat both flags in matching order when you need to attach more than one image. Add --convertHttpImage2Base64 true when the model cannot reach the URL directly. Requires @midscene/android@1.9.0+.
npx -y @midscene/android@1 assert \
--prompt "the visible app icon matches the supplied reference image" \
--image "https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" \
--image-name "icon" \
--convertHttpImage2Base64 true
# or with a local file
npx -y @midscene/android@1 assert \
--prompt "the header on screen matches the local screenshot" \
--image "./fixtures/header.png" \
--image-name "header"
# multiple reference images — pair --image and --image-name by order
npx -y @midscene/android@1 assert \
--prompt "the screen shows both the app icon and the header" \
--image "./fixtures/icon.png" --image-name "icon" \
--image "./fixtures/header.png" --image-name "header"
Use a Reference Image for Precise Targeting
When the user provides a screenshot, icon, logo, or reference image and wants an exact visual match, prefer tap --locate instead of a generic act --prompt. Pass --locate as JSON. The prompt describes the target, images supplies named reference images, and convertHttpImage2Base64: true is useful when the image URL may not be directly accessible to the model.
npx -y @midscene/android@1 tap --locate '{
"prompt": "tap the area contains the image",
"images": [
{
"name": "target image",
"url": "https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png"
}
],
"convertHttpImage2Base64": true
}'
The same locate JSON shape also works for other commands that accept a locate parameter.
Disconnect
npx -y @midscene/android@1 disconnect
Consume Report Files
The generated HTML report is recommended for human reading first. It includes step-by-step execution details and replay videos for each operation, which makes it much easier to understand what happened and troubleshoot problems.
If another skill or tool needs to consume the report, first convert it with report-tool from the same platform CLI package. Prefer Markdown for LLM-based workflows. Use JSON when the report needs to be processed programmatically.
npx -y @midscene/android@1 report-tool --action to-markdown --htmlPath ./midscene_run/report/.../index.html --outputDir ./output-markdown
npx -y @midscene/android@1 report-tool --action split --htmlPath ./midscene_run/report/.../index.html --outputDir ./output-data
Workflow Pattern
Since CLI commands are stateless between invocations, follow this pattern:
- Connect to establish a session
- Launch the target app and take screenshot to see the current state, make sure the app is launched and visible on the screen.
- Execute action using
actto perform the desired action or target-driven instructions, and useassertwhen you need to verify the resulting screen state. - Disconnect when done
- Report results — summarize what was accomplished, present key findings and data extracted during the task, and list any generated files (screenshots, logs, etc.) with their paths
Best Practices
- Bring the target app to the foreground before using this skill: For best efficiency, launch the app using ADB (e.g.,
adb shell am start -n <package/activity>) before invoking any midscene commands. Then take a screenshot to confirm the app is actually in the foreground. Only after visual confirmation should you proceed with UI automation using this skill. ADB commands are significantly faster than using midscene to navigate to and open apps. - Be specific about UI elements: Instead of vague descriptions, provide clear, specific details. Say
"the Wi-Fi toggle switch on the right side"instead of"the toggle". - Describe locations when possible: Help target elements by describing their position (e.g.,
"the search icon at the top right","the third item in the list"). - Never run in background: Every midscene command must run synchronously — background execution breaks the screenshot-analyze-act loop.
- Batch related operations into a single
actcommand: When performing consecutive operations within the same app, combine them into oneactprompt instead of splitting them into separate commands. For example, "open Settings, tap Wi-Fi, and toggle it on" should be a singleactcall, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster. - Use scrcpy when screenshot capture needs acceleration: Add
--use-scrcpyto each relevant command when normal Android screenshots are slow, flaky, or blocked by the environment. - Use
assertfor verification: When the goal is to confirm that a screen state is true, useassert --prompt "..."instead of anactprompt. Keep assertions observable and specific, such as"the permission dialog is visible"or"the Save button is disabled". - Always report results after completion: After finishing the automation task, you MUST proactively present the results to the user without waiting for them to ask. This includes: (1) the answer to the user's original question or the outcome of the requested task, (2) key data extracted or observed during execution, (3) screenshots and other generated files with their paths, (4) a brief summary of steps taken. Do NOT silently finish after the last automation command — the user expects complete results in a single interaction.
- Prefer
tap --locatewhen a reference image is provided: If the user shares a screenshot, icon, or logo and wants that exact visual target, usetap --locatewith a multimodallocateJSON object such as{ "prompt": "...", "images": [...] }instead of relying only onact --prompt.
Example — Popup menu interaction:
npx -y @midscene/android@1 act --prompt "long press the message bubble and tap Delete in the popup menu"
npx -y @midscene/android@1 take_screenshot
Example — Form interaction:
npx -y @midscene/android@1 act --prompt "fill in the username field with 'testuser' and the password field with 'pass123', then tap the Login button"
npx -y @midscene/android@1 take_screenshot
Improve Precision (Deep Locate / Deep Think)
Two optional global flags help when Midscene struggles with a task. Put them anywhere in the command (before or after the sub-command); once set, the relevant operations use them by default, so you don't pass a per-call parameter.
--deep-locate— spends an extra round of visual reasoning to pinpoint the target element. Use it when an action interacts with the wrong spot (location drift / offset). It applies to every operation that locates an element, includingtap --locateand the locating that happens insideact.--deep-think— plansactwith deeper reasoning (richer context and sub-goal decomposition). Use it for complex, multi-stepactinstructions; it only affects planning.
Both trade a little speed for better results, and you can combine them.
# more accurate element location (helps act's internal locating too)
npx -y @midscene/android@1 act --deep-locate --prompt "tap the small overflow (⋮) icon in the top-right corner"
# deeper planning for a complex, multi-step act
npx -y @midscene/android@1 act --deep-think --prompt "open Settings, go to Wi-Fi, and connect to the network named Office"
# combine both
npx -y @midscene/android@1 act --deep-locate --deep-think --prompt "fill in the signup form and tap Submit"
Troubleshooting
| Problem | Solution |
|---|---|
| ADB not found | Install Android SDK Platform Tools: brew install android-platform-tools (macOS) or download from developer.android.com. |
| Device not listed | Check USB connection, ensure USB debugging is enabled in Developer Options, and run adb devices. |
| Device shows "unauthorized" | Unlock the device and accept the USB debugging authorization prompt. Then run adb devices again. |
| Device shows "offline" | Disconnect and reconnect the USB cable. Run adb kill-server && adb start-server. |
| Command timeout | The device screen may be off or locked. Wake the device with adb shell input keyevent KEYCODE_WAKEUP and unlock it. |
| API key error | Check .env file contains MIDSCENE_MODEL_API_KEY=<your-key>. See Model Configuration. |
@midscene/* dependency version is outdated | Check local versions with npm ls @midscene/android @midscene/core @midscene/shared (or pnpm why @midscene/android). Compare with latest versions using npm view @midscene/android version, npm view @midscene/core version, and npm view @midscene/shared version. Upgrade as needed (npm i @midscene/android@latest @midscene/core@latest @midscene/shared@latest). |
| Wrong device targeted | If multiple devices are connected, use the --device-id <id> flag. |
| Screenshots are slow or flaky | Add --use-scrcpy to the Android Midscene command to enable scrcpy accelerated screenshots. |
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