android-automation
Vision-driven Android device automation using Midscene. Operates entirely from screenshots —…
Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows, Linux) or a remote Windows desktop over RDP with natural language commands. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible
$ npx -y skills add web-infra-dev/midscene-skills --skill computer-automation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/computer-automationContext preview
The summary Claude sees to decide when to auto-load this skill.
Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows, Linux) or a remote Windows desktop over RDP with natural language commands. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible
name: computer-automation description: | Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows, Linux) or a remote Windows desktop over RDP with natural language commands. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. ⚠️ In local mode this takes over the user's real mouse and keyboard. For web apps, prefer "Browser Automation" instead. Only use this for desktop-native apps (Electron, Qt, native macOS/Windows/Linux) that cannot run in a browser, or for driving a remote Windows host via RDP. Triggers: open app, press key, desktop, computer, click on screen, type text, screenshot desktop, launch application, switch window, desktop automation, control computer, mouse click, keyboard shortcut, screen capture, find on screen, read screen, verify window, close app, test Electron app, rdp, remote desktop, windows server, connect via rdp Powered by Midscene.js (https://midscenejs.com) allowed-tools: - Bash
> **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. > 5. **Only minimize windows, never close them unless explicitly asked.** When you need to dismiss or get a window out of the way, minimize it instead of closing it. Do not close any app or window unless the user explicitly asks you to do so.
Control your desktop (macOS, Windows, Linux) using `npx -y @midscene/computer@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.
Inside a single `act` call on desktop, Midscene can move the mouse, click, double-click, right-click, drag items, type or clear text, scroll, press single keys or keyboard shortcuts, and work through multi-step interactions on whatever is visible on the selected display.
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](https://midscenejs.com/model-common-config) for supported providers.
npx -y @midscene/computer@1 connect npx -y @midscene/computer@1 connect --displayId <id>
Use RDP mode to drive a **remote Windows desktop** instead of the local machine. Providing `--host` switches `connect` to RDP and routes every subsequent command (`act`, `tap`, `take_screenshot`, `assert`, `disconnect`) through the RDP helper binary bundled with `@midscene/computer`. The local mouse/keyboard is **not** touched.
Minimum example:
npx -y @midscene/computer@1 connect \ --host rdp.example.com \ --username Administrator \ --password "$RDP_PASSWORD"
All RDP options for `connect` (RDP mode is activated when `--host` is set; the other flags are optional):
Vision-driven cross-platform automation Natural-language driven UI control Built on Midscene.js's vision-based automation capabilities — Operates entirely from screenshots, making cross-platform support reliable This repository contains Skills for the
Repo: web-infra-dev/midscene-skills
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