Midscene Automations Skills for Android

# Android Device Automation

> CRITICAL RULES — VIOLATIONS WILL BREAK THE WORKFLOW: > > 1. 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. > 2. 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. > 3. 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 `act` commands may need even longer. > 4. 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 @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.

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):

```bash 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)

```bash 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

```bash 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

```bash 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

Connect to Device

```bash npx @midscene/android@1 connect npx @midscene/android@1 connect --deviceId emulator-5554 ```

Take Screenshot

```bash npx @midscene/android@1 take_screenshot ```

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:

```bash # specific instructions npx @midscene/android@1 act --prompt "type hello world in the search field and press Enter" npx @midscene/android@1 act --prompt "long press the message bubble and tap Delete in the popup menu"

# or target-driven instructions npx @midscene/android@1 act --prompt "open Settings and navigate to Wi-Fi settings, tell me the connected network name" ```

Disconnect

```bash npx @midscene/android@1 disconnect ```

Workflow Pattern

Since CLI commands are stateless between invocations, follow this pattern:

1. Connect to establish a session
2. Launch the target app and take screenshot to see the current state, make sure the app is launched and visible on the screen.
3. Execute action using `act` to perform the desired action or target-driven instructions.
4. Disconnect when done
5. 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

1. 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.
2. 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"`.
3. 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"`).
4. Never run in background: Every midscene command must run synchronously — background execution breaks the screenshot-analyze-act loop.
5. Batch related operations into a single `act` command: When performing consecutive operations within the same app, combine them into one `act` prompt instead of splitting them into separate commands. For example, "open Settings, tap Wi-Fi, and toggle it on" should be a single `act` call, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster.
6. 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.

Example — Popup menu interaction:

```bash npx @midscene/android@1 act --prompt "long press the message bubble and tap Delete in the popup menu" npx @midscene/android@1 take_screenshot ```

Example — Form interaction:

```bash npx @midscene/android@1 act --prompt "fill in the username field with 'testuser' and the password field with 'pass123', then tap the Login button" npx @midscene/android@1 take_screenshot ```

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. | | Wrong device targeted | If multiple devices are connected, use `--deviceId <id>` flag with the `connect` command. |