ios-device-automation▌
web-infra-dev/midscene-skills · updated Apr 8, 2026
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Vision-driven iOS automation using natural language commands and screenshot analysis.
- ›Operates entirely from screenshots without requiring DOM access or accessibility labels; can interact with any visible UI element regardless of technology stack
- ›Requires a configured vision model (Gemini, Qwen, Doubao, or similar) via environment variables for AI-powered screen understanding and action execution
- ›Follows a synchronous workflow: connect device, take screenshot, execute actions via nat
iOS 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 iOS devices using npx @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.
What act Can Do
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.
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
Connect to Device
npx @midscene/ios@1 connect
Launch an App, URL, or Deep Link
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.
Send a Direct Device Request
Use this when the task needs lower-level device control instead of a normal visible UI interaction:
npx @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.
Take Screenshot
npx @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.
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 @midscene/ios@1 act --prompt "type hello world in the search field and press Enter"
npx @midscene/ios@1 act --prompt "tap Delete, then confirm in the alert dialog"
# or target-driven instructions
npx @midscene/ios@1 act --prompt "open Settings and navigate to Wi-Fi, tell me the connected network name"
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 @midscene/ios@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 @midscene/ios@1 disconnect
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. - 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
- Be specific about UI elements: Instead of vague descriptions, provide clear, specific details. Say
"the Settings icon in the top-right corner"instead of"the icon". - 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 check the connected network" should be a singleactcall, not three. This reduces round-trips, avoids unnecessary screenshot-analyze cycles, and is significantly faster. - 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 — Alert dialog interaction:
npx @midscene/ios@1 act --prompt "tap the Delete button and confirm in the alert dialog"
npx @midscene/ios@1 take_screenshot
Example — Form interaction:
npx @midscene/ios@1 act --prompt "fill in the username field with 'testuser' and the password field with 'pass123', then tap the Login button"
npx @midscene/ios@1 take_screenshot
Troubleshooting
WebDriverAgent Not Running
Symptom: Connection refused or timeout errors. Solution:
- Ensure WebDriverAgent is installed and running on the device.
- See https://midscenejs.com/usage-ios.html for setup instructions.
Device Not Found
Symptom: No device detected or connection errors. Solution:
- Ensure the device is connected via USB and trusted.
API Key Issues
Symptom: Authentication or model errors. Solution:
- Check
.envfile containsMIDSCENE_MODEL_API_KEY=<your-key>. - See https://midscenejs.com/zh/model-common-config.html for details.
@midscene/* Dependency Version Outdated
Symptom: Unexpected behavior, missing features, or version mismatch errors. Solution:
- Check local versions:
npm ls @midscene/ios @midscene/core @midscene/shared(orpnpm why @midscene/ios). - Check latest versions:
npm view @midscene/ios version,npm view @midscene/core version,npm view @midscene/shared version. - Upgrade dependencies:
npm i @midscene/ios@latest @midscene/core@latest @midscene/shared@latest.
How to use ios-device-automation on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ios-device-automation
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ios-device-automation from GitHub repository web-infra-dev/midscene-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ios-device-automation. Access the skill through slash commands (e.g., /ios-device-automation) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★37 reviews- ★★★★★Emma Yang· Dec 20, 2024
Useful defaults in ios-device-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nikhil Johnson· Dec 16, 2024
ios-device-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yusuf Taylor· Dec 16, 2024
ios-device-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Rahul Santra· Nov 7, 2024
Useful defaults in ios-device-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aanya Farah· Nov 7, 2024
I recommend ios-device-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hiroshi Ghosh· Nov 7, 2024
Keeps context tight: ios-device-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Pratham Ware· Oct 26, 2024
Registry listing for ios-device-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aditi Perez· Oct 26, 2024
Solid pick for teams standardizing on skills: ios-device-automation is focused, and the summary matches what you get after install.
- ★★★★★Yuki Torres· Oct 26, 2024
We added ios-device-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yash Thakker· Sep 13, 2024
Keeps context tight: ios-device-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
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