android-automation
Vision-driven Android device automation using Midscene. Operates entirely from screenshots —…
Vision-driven iOS device automation using Midscene CLI. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control iOS devices with natural language commands via
$ npx -y skills add web-infra-dev/midscene-skills --skill ios-automation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ios-automationContext preview
The summary Claude sees to decide when to auto-load this skill.
Vision-driven iOS device automation using Midscene CLI. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control iOS devices with natural language commands via
name: ios-device-automation description: | Vision-driven iOS device automation using Midscene CLI. Operates entirely from screenshots — no DOM or accessibility labels required. Can interact with all visible elements on screen regardless of technology stack. Control iOS devices with natural language commands via WebDriverAgent. Triggers: ios, iphone, ipad, ios app, tap on iphone, swipe, mobile app ios, ios device, ios testing, iphone automation, ipad automation, ios screen, ios navigate, test ios app, verify on iphone, QA on ipad, check the app on ios, test on ios device, see if the app works on iphone, end-to-end test on ios, visual verification on ios 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.
Automate iOS devices using `npx -y @midscene/ios@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 iOS, Midscene can tap, double-tap, long-press, type, clear text, scroll, drag items, zoom with two fingers, press keys, and use system navigation such as Home or the app switcher while working from the current visible screen.
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/ios@1 connect
If WebDriverAgent is already running and the session was created outside Midscene, pass the WDA endpoint and external session ID together:
npx -y @midscene/ios@1 connect --wda-host 127.0.0.1 --wda-port 8100 --session-id <sessionId>
Use the same `--wda-host`, `--wda-port`, and `--session-id` options on later commands when you want them to operate through that existing WDA session.
Use the built-in launch capability when you want to start from a known app or route before the rest of the task. Give it the most specific target you have, such as a bundle ID, web URL, deep link, or phone/mail link. Typical targets include `com.apple.Preferences`, `https://www.apple.com`, `myapp://profile/user/123`, and `tel:+1234567890`.
Use this when the task needs lower-level device control instead of a normal visible UI interaction:
npx -y @midscene/ios@1 runwdarequest --method GET --endpoint /wda/screen
This does not run an ADB command. On iOS, the underlying operation is an HTTP request to WebDriverAgent, typically `GET http://<wdaHost>:<wdaPort>/session/<sessionId>/wda/screen`.
npx -y @midscene/ios@1 take_screenshot
After taking a screenshot, read the saved image file to understand the current screen state before deciding the next 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/ios@1 act --prompt "type hello world in the search field and press Enter" npx -y @midscene/ios@1 act --prompt "tap Delete, then confirm in the alert dialo
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
Vision-driven Android device automation using Midscene. Operates entirely from screenshots —…
Vision-driven browser automation using Midscene. Operates from screenshots — no DOM or…
Vision-driven desktop automation using Midscene. Control your local desktop (macOS, Windows,…
Vision-driven HarmonyOS NEXT device automation using Midscene. Operates entirely from…
Enhances Vitest with Midscene for AI-powered UI testing across Web (Playwright), Android…