/install claw-use
Claw Use — Device Control for AI Agents
Give your AI agent eyes, hands, and a voice on real devices.
Claw Use is a protocol + skill for AI agents to control physical devices over HTTP. The cu CLI provides a unified interface — the same commands work across any device that implements the Claw Use API.
Supported Devices
| Platform | Implementation | Status |
|---|---|---|
| Android | claw-use-android | ✅ Available |
| iOS | claw-use-ios | 🔮 Planned |
| Desktop | claw-use-desktop | 🔮 Planned |
Prerequisites
cuCLI installed (ships with claw-use-android, or install standalone)- At least one device running a Claw Use implementation
- Device and agent on the same network (or connected via Tailscale)
Setup
# Add a device with a friendly name
cu add redmi 192.168.0.105 \x3Ctoken>
cu add pixel 100.80.1.10 \x3Ctoken>
# List devices
cu devices
# ▸ redmi 192.168.0.105 online v1.2.0
# pixel 100.80.1.10 offline
# Switch default
cu use pixel
# Target a specific device
cu -d redmi screenshot
Core API (all platforms)
Every Claw Use implementation exposes the same HTTP endpoints:
Perception — read the device
cu screen # UI tree (semantic: element text, bounds, state)
cu screen -c # compact mode (interactive elements only)
cu screenshot # visual capture (JPEG, configurable quality)
cu notifications # system notifications
cu status # device health dashboard
Action — control the device
cu tap \x3Cx> \x3Cy> # tap coordinates
cu click \x3Ctext> # tap by visible text (semantic click)
cu type "text" # type text (CJK supported)
cu swipe up|down|left|right
cu scroll up|down|left|right
cu back / cu home # system navigation
cu launch \x3Capp> # open an application
cu open \x3Curl> # open URL
cu intent '\x3Cjson>' # platform-specific intent (Android)
Audio
cu tts "hello" # speak through device speaker
cu say "你好" # alias
Device State
cu wake # wake screen
cu lock / cu unlock # lock/unlock (PIN required for unlock)
Workflow Patterns
Navigate and interact
cu launch org.telegram.messenger
cu screen -c # see what's on screen
cu click "Search"
cu type "John"
cu click "John, last seen recently"
cu type "Hey!"
cu click "Send"
Visual + semantic dual-channel
cu screen -c # semantic: what elements exist
cu screenshot 50 720 /tmp/look.jpg # visual: what it actually looks like
Multi-device orchestration
cu -d phone1 launch com.whatsapp
cu -d phone2 screenshot
cu -d tablet open "https://example.com"
For Agent Developers
Claw Use is designed as a protocol, not just an app. To add support for a new platform:
- Implement the Claw Use HTTP API spec
- Expose endpoints on a configurable port (default: 7333)
- Support token auth via
X-Bridge-Tokenheader - Return JSON responses matching the documented schemas
The cu CLI and this skill work automatically with any compliant implementation.
Tips
cu screen -cis the primary perception tool — compact mode filters noisecu clickby text is more reliable thancu tapwhen text is visiblecu screenshotwhen you need visual context the UI tree can't capture- Auto-unlock is transparent: locked devices auto-unlock before any command
- Combine with Tailscale for remote access from anywhere
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install claw-use - After installation, invoke the skill by name or use
/claw-use - Provide required inputs per the skill's parameter spec and get structured output
What is Claw Use — Device Control for AI Agents?
Control physical devices over HTTP with unified commands for screen reading, input actions, app launch, navigation, and audio output using the Claw Use proto... It is an AI Agent Skill for Claude Code / OpenClaw, with 250 downloads so far.
How do I install Claw Use — Device Control for AI Agents?
Run "/install claw-use" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Claw Use — Device Control for AI Agents free?
Yes, Claw Use — Device Control for AI Agents is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Claw Use — Device Control for AI Agents support?
Claw Use — Device Control for AI Agents is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Claw Use — Device Control for AI Agents?
It is built and maintained by 傅洋 (@4ier); the current version is v1.0.0.