A comprehensive image processing utility for automated background removal, intelligent upscaling, and high-performance compression.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-process
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 image-process 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 image-process?
The image-process skill is a robust tool designed to streamline visual asset management within an AI-driven environment. By integrating this skill into your library of Openclaw Skills, you gain the ability to perform complex graphical tasks like AI-powered background isolation and high-fidelity upscaling through simple commands. It leverages the industry-leading sharp library and @imgly models to ensure that every transformation—whether it is reducing file size for web use or replacing backgrounds for product shots—maintains professional standards.
This skill is built for developers who need reliable, programmatic control over their image assets without manually opening heavy editing software. It fits perfectly into automated pipelines where efficiency and precision are paramount, representing a significant utility expansion for any developer utilizing Openclaw Skills.
image-process Use Cases
- Automatically compressing batches of images to optimize web performance.
- Removing backgrounds from portraits or product images for e-commerce listings.
- Replacing image backgrounds with brand-consistent hex colors or custom scenery.
- Enhancing low-resolution images for better display quality using the upscaling engine.
- Integrating image manipulation steps into larger automated Openclaw Skills workflows.
How image-process Works
- The user provides an input image path or buffer to the skill's processing engine.
- Depending on the requested operation, the skill invokes either the @imgly AI model for background detection or the sharp library for resampling.
- The skill applies user-defined parameters such as compression quality, scaling factors, or background hex codes.
- The processed image is rendered and saved to the specified output directory or returned for further use within the Openclaw Skills ecosystem.
image-process Setup
To install the image-process skill, navigate to the skill directory and install the required node dependencies:
cd skills/image-process
npm install
Ensure your environment supports node-gyp for the sharp library and has sufficient resources for the AI-based background removal models.
image-process Data Schema & Taxonomy
The image-process skill handles input through structured objects and produces file-based outputs. The following table describes the primary data inputs:
| Feature | Input Format | Key Parameters |
|---|---|---|
| Compression | File Path / Buffer | quality (1-100), output path |
| BG Removal | File Path / Buffer | output path |
| BG Replace | File Path / Buffer | background (hex or path), output path |
| Upscale | File Path / Buffer | scale factor, width, height, output path |
image-process Advanced Features
- High-performance image manipulation powered by the sharp processing engine.
- State-of-the-art AI edge detection for precise background removal in Openclaw Skills.
- Support for both factor-based upscaling (e.g., 2x) and exact pixel dimension resizing.
- Dual-interface support allowing for seamless use via JavaScript API or direct CLI commands.
SKILL.md
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