A portable, cross-platform computer-use skill that bundles standalone runtimes for macOS, Windows, and Linux with zero local dependencies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deskuse
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deskuse using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Deskuse Cross-Platform Computer-Use?
Deskuse is a sophisticated, top-level computer-use skill designed to provide AI agents with direct control over desktop environments across macOS, Windows, and Linux. Unlike standard implementations, this entry in the Openclaw Skills ecosystem bundles all three platform payloads into a single installation, automatically selecting the correct runtime for the host system. It operates on a standalone bootstrap model, meaning it creates its own virtual environments and manages Python dependencies independently without requiring a local Claude installation or private native modules.
By prioritizing portability and platform-specific accuracy, Deskuse ensures that developers can deploy automation across diverse operating systems using a unified interface. It is a critical component for those building robust automation workflows within the Openclaw Skills framework, providing explicit control over system interactions while maintaining clear boundaries between different host behaviors.
Deskuse Cross-Platform Computer-Use Use Cases
- Automating cross-platform GUI interactions using Openclaw Skills.
- Deploying AI-driven desktop control in environments where local Claude dependencies cannot be installed.
- Standardizing computer-use capabilities across mixed fleets of macOS, Windows, and Linux machines.
- Building custom MCP-based tools that require direct OS-level input and screenshot capabilities.
How Deskuse Cross-Platform Computer-Use Works
- The skill is installed into the local environment, placing platform-specific runtimes in a structured directory under the Openclaw Skills hierarchy.
- A platform-detection script (Bash for Unix-like systems or PowerShell for Windows) identifies the host OS.
- The skill resolves the path to the specific project payload matching the detected platform.
- On the first execution, the standalone bootstrap mechanism creates a local virtualenv and installs necessary Python dependencies.
- The AI agent interacts with the system through the MCP layer, utilizing the built CLI to perform actions like typing, clicking, and screen capture.
Deskuse Cross-Platform Computer-Use Setup
To integrate this tool from the Openclaw Skills collection, follow these steps to build the platform-specific payload:
# Navigate to the platform-specific directory using the helper script
cd "$(bash ~/.codex/skills/deskuse/scripts/current-project.sh)"
# Install dependencies and build the project
npm install
npm run build
For Windows users, use the PowerShell helper:
powershell -ExecutionPolicy Bypass -File $HOME/.codex/skills/deskuse/scripts/current-project.ps1
Deskuse Cross-Platform Computer-Use Data Schema & Taxonomy
Deskuse organizes its multi-platform assets within a predictable structure inside the Openclaw Skills directory. This allows for easy updates and platform-specific debugging.
| Path Segment | Purpose |
|---|---|
~/.codex/skills/deskuse |
The primary root for the computer-use skill. |
project/platforms/ |
Contains isolated projects for macos, windows, and linux. |
scripts/ |
Contains host detection utilities (current-project.sh, current-project.ps1). |
dist/cli.js |
The compiled JavaScript entry point used to launch the MCP server. |
Deskuse Cross-Platform Computer-Use Advanced Features
- Multi-platform runtime bundling allowing a single skill installation to serve diverse OS environments.
- Standalone bootstrap logic that eliminates external system-wide dependency conflicts.
- Platform-specific validation tracking to ensure high-fidelity interactions on macOS and X11-based Linux.
- Zero-dependency architecture that does not rely on private assets or extracted application binaries from other AI clients in the Openclaw Skills ecosystem.
SKILL.md
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