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orgo-desktop-control

Provision and control Orgo cloud computers using the orgo_client Python SDK. Use when launching remote desktops, automating browsers, running bash/python remotely, interacting with UI, managing files, or controlling streaming.

Why use this skill?

Use the Orgo Desktop Control skill to provision, manage, and automate remote cloud computers. Perfect for browser automation, remote GUI tasks, and execution.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/cohenyehonatan/orgo-desktop-control
Or

What This Skill Does

The orgo-desktop-control skill serves as an advanced interface for provisioning, managing, and interacting with remote cloud-based computers via the Orgo SDK. It enables agents to treat remote cloud environments as local extensions, providing full control over UI interactions, file systems, and bash/python environments. By utilizing this skill, an OpenClaw agent can launch, monitor, and tear down virtual desktop environments to perform tasks that require persistent GUI interfaces, browser automation, or complex remote compute resources.

Installation

To install this skill, run the following command in your terminal within the OpenClaw environment: clawhub install openclaw/skills/skills/cohenyehonatan/orgo-desktop-control Once installed, ensure that the environment variable ORGO_API_KEY is correctly set in your configuration, as the client requires authentication to communicate with the Orgo cloud infrastructure.

Use Cases

This skill is designed for high-level automation scenarios. Common use cases include:

  1. Browser Automation: Launching a remote headless or desktop browser to scrape dynamic content, fill complex forms, or verify UI performance.
  2. Remote Development: Executing long-running bash scripts or Python computations on scalable cloud hardware without taxing the local machine.
  3. GUI Testing: Programmatically interacting with desktop applications by simulating keyboard inputs, mouse clicks, and drag-and-drop gestures.
  4. Persistent Environments: Setting up a remote desktop that remains active for long-term monitoring or streaming tasks.
  5. File Management: Seamlessly transferring files between the local system and the remote cloud desktop for analysis or storage.

Example Prompts

  1. "Provision a new 4GB RAM cloud computer in the 'marketing-automation' workspace and open the Firefox browser to navigate to example.com."
  2. "Take a screenshot of the current remote desktop, identify the 'Submit' button coordinates, and click it to finalize the form submission."
  3. "Run this Python script on my remote Orgo computer and export the resulting 'report.csv' file to my local machine."

Tips & Limitations

  • Safety First: Always explicitly confirm with the user before deleting workspaces or virtual computers, as these actions are irreversible.
  • Efficiency: Ensure you call computer.stop() when a task is finished to avoid unnecessary cloud compute costs.
  • Error Handling: The SDK automatically raises OrgoError subclasses for network or infrastructure failures; be prepared to catch these in your automation logic.
  • Dependencies: This skill requires network access to the Orgo API and performs remote code execution; use it only within trusted environments.

Metadata

Stars3409
Views0
Updated2026-03-25
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-cohenyehonatan-orgo-desktop-control": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#cloud#automation#remote#devops#virtualization
Safety Score: 2/5

Flags: network-access, file-write, file-read, external-api, code-execution