A comprehensive Python-based image processing library for automated editing, smart enhancement, and creative compositing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install picture-edit
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 picture-edit 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 picture-edit?
picture-edit is a powerful image manipulation skill designed to bring high-level editing capabilities to Openclaw Skills. Based on the core philosophy of Power, Productivity, Precision, and Playful, it enables developers and AI agents to perform complex visual transformations without manual intervention. By leveraging the industry-standard Pillow library, this skill provides a seamless interface for handling everything from basic file operations to sophisticated artistic effects.
The tool is specifically optimized for automated workflows, allowing for rapid batch processing and intelligent image optimization. Whether you need to generate social media assets, clean up product photos, or automate watermark placement, this skill provides the programmatic control necessary for modern visual content management within the ecosystem of Openclaw Skills.
picture-edit Use Cases
- Automating image resizing and format conversion for web deployment pipelines.
- Applying smart enhancement to batches of photographs to improve clarity and contrast automatically.
- Creating image collages and grids for social media or product catalogs using stitching modules.
- Programmatically adding localized text or watermarks to images using system-wide font support.
- Removing solid backgrounds from product images to create transparent assets for e-commerce.
How picture-edit Works
- The skill initializes by loading source imagery from local storage, supporting widely-used formats such as JPEG, PNG, and WebP.
- Developers invoke specific modules such as core, enhance, or filters to modify the image buffer in memory.
- For composite tasks, the tool calculates alignment and grid positions to stitch multiple images into a single cohesive output.
- Background removal logic identifies specific color thresholds or light regions to generate transparent RGBA layers.
- The finalized image is rendered and saved with configurable quality settings, ensuring an optimal balance between file size and visual fidelity.
picture-edit Setup
To integrate this skill into your environment, ensure you have the necessary dependencies installed using the following command:
pip install -r requirements.txt
Note: This skill requires Pillow version 10.0.0 or higher for full feature compatibility.
picture-edit Data Schema & Taxonomy
The skill manages data through standard PIL Image objects and specific metadata parameters as outlined below:
| Feature | Supported Data / Inputs |
|---|---|
| File Formats | JPEG, PNG, WebP (Read/Write) |
| Text Positioning | 9-point presets (e.g., bottom-center) or XY coordinates |
| Color Space | RGB and RGBA (for transparency) |
| Filters | Grayscale, Sepia, Blur, Contour, Invert, Pixelate |
| Alignment | Top, Bottom, Left, Right, Center |
picture-edit Advanced Features
- Smart Enhancement: A one-click optimization feature that automatically adjusts brightness, contrast, and sharpness for professional results.
- Precision Background Removal: Custom color tolerance and edge smoothing (Gaussian blur) for natural-looking cutouts.
- Dynamic Text Rendering: Support for custom font paths, arbitrary rotation angles, and automatic system-font detection for multi-language support.
- Flexible Stitching: Advanced grid logic that automatically calculates rows and columns based on provided image lists.
- Performance Optimization: Efficient processing algorithms that handle 1080p images in under 5 seconds, maximizing throughput for Openclaw Skills.
SKILL.md
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