Claw Use

What This Skill Does

Claw Use is a powerful, unified protocol and skill that enables AI agents to bridge the gap between digital intelligence and physical hardware. It serves as a comprehensive control layer for mobile devices, allowing an AI agent to 'see' the user interface via semantic screen parsing, visual screenshots, and system status reports. Once the agent understands the context, it can perform direct actions like tapping, typing, swiping, and launching applications. By abstracting device control into a consistent HTTP-based protocol, Claw Use allows agents to operate seamlessly across different hardware platforms using a single, simplified command set. Whether you need to automate repetitive mobile tasks, perform remote device testing, or integrate your agent into your physical workflow, Claw Use provides the necessary eyes, hands, and voice to interact with your devices as if the agent were physically holding them.

Installation

To integrate Claw Use into your OpenClaw environment, you must first ensure you have the cu CLI installed. You can install the skill by running the following command in your terminal: clawhub install openclaw/skills/skills/4ier/claw-use. Once installed, you need to set up your specific hardware. Deploy a Claw Use implementation (such as claw-use-android) onto your target device. Use the cu add command to register the device to your agent, providing the IP address and authentication token. Verify the connection with cu devices, and ensure your agent is on the same local network or connected via a secure tunnel like Tailscale for remote access.

Use Cases

• Automated Communication: Have your agent monitor messaging apps like WhatsApp or Telegram, read incoming alerts, and reply to specific contacts automatically.
• Quality Assurance & Testing: Orchestrate multi-device testing by launching apps, interacting with UI elements, and taking screenshots to verify layout or function across different screen sizes.
• Personal Productivity: Use the agent to wake your phone, open specific productivity apps, type reminders, or set system configurations without needing to touch the screen yourself.
• Remote Device Management: Control offline devices, retrieve logs or device health metrics, and manage app installations from a centralized agent dashboard.

Example Prompts

1. "Open Telegram on my Redmi device, find the chat with John, and type a quick message asking if he's free for a call."
2. "Check the current notifications on my Pixel device and summarize any urgent emails I have received."
3. "Launch the browser on my tablet and navigate to the OpenClaw documentation website to check for updates."

Tips & Limitations

• Safety First: Always use secure network connections (Tailscale or private subnets) when exposing device controls to an AI agent.
• Contextual Awareness: Use cu screen -c to retrieve a compact, semantic representation of the UI before performing clicks, as this consumes fewer tokens than full screenshots.
• Limitations: Currently, iOS and Desktop support are planned; focus development on Android-based devices for immediate full functionality. Be mindful of potential latency when working over public networks.