image-utils
Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.
Why use this skill?
Master image manipulation with OpenClaw image-utils. Resize, crop, convert formats, and optimize images for the web with this powerful Python-based skill.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/galbria/image-utilsWhat This Skill Does
The image-utils skill provides a comprehensive suite of programmatic image manipulation tools powered by the robust Pillow (PIL) library. It is designed to handle deterministic, pixel-level operations that are essential for post-processing AI-generated content or managing digital assets. Unlike generative AI models, which focus on creation, this skill focuses on the technical refinement and preparation of visual assets, including resizing, cropping, format conversion, watermarking, and color adjustments. It acts as a bridge between raw image generation and professional, production-ready output.
Installation
To integrate this skill into your OpenClaw agent, execute the following command in your terminal:
clawhub install openclaw/skills/skills/galbria/image-utils
Ensure your system has the base requirements installed by running: pip install Pillow requests. This ensures that the library can handle both local file systems and remote network-based image fetching.
Use Cases
This skill is indispensable for several workflows:
- Content Pipeline Automation: Automatically process thousands of images from a generation queue, resizing them to specific social media dimensions and compressing them for web performance.
- Asset Branding: Programmatically apply company watermarks to images before uploading them to a CMS or social platform.
- Responsive Design: Generate multiple variants (thumbnail, mobile-width, desktop-width) of a single image using the batch processing capabilities.
- Pre-processing: Enhance images for further AI vision analysis by adjusting brightness, contrast, or converting them to specific color modes (e.g., Grayscale or RGB).
Example Prompts
- "Load the image from https://example.com/banner.png, crop it to a 16:9 aspect ratio, add my logo as a watermark in the bottom right corner, and save it as a high-quality JPEG."
- "Take all images in my './uploads' folder, resize them so the width is exactly 800px while maintaining the aspect ratio, and optimize them for web delivery."
- "Open the generated image, increase the contrast by 20%, flip it horizontally, and save it to a new file named 'processed_v2.png'."
Tips & Limitations
For best results, always check the source format before saving to ensure compatibility. While this skill excels at deterministic operations, remember that it cannot 'hallucinate' missing pixels (e.g., upscaling small images significantly will cause blurriness). For complex artistic transformations, consider using this skill alongside AI-driven generative skills. Always handle file paths carefully to avoid security risks when performing batch operations on local directories.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-galbria-image-utils": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read
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Bria Ai
Skill by galbria