A comprehensive pixel art and sprite sheet processing pipeline for game developers and digital artists.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pixel-art-processing
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 pixel-art-processing 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 Pixel Art Processing?
Pixel Art Processing is a robust toolkit designed to streamline the creation and manipulation of game assets. Built on the FrameRonin project, it offers a high-performance pipeline for handling everything from video frame extraction to complex sprite sheet composition. It is a vital addition to the Openclaw Skills ecosystem for developers working on 2D games, RPG Maker projects, or pixel-style animations.
The skill bridges the gap between raw media and game-ready assets by providing AI-powered background removal, intelligent pixelation effects, and precise sprite splitting. Whether you are converting GIFs to individual frames or automating a green-screen chroma keying workflow, this tool provides the technical precision required for professional asset management.
Pixel Art Processing Use Cases
- Converting cinematic video clips into processed animation frames for 2D games.
- Splitting combined sprite sheets into individual grid frames for engine compatibility.
- Automating background removal (matting) for character sprites using AI.
- Creating RPG Maker compatible sprite workflows with one-click processing.
- Removing watermarks from AI-generated imagery or video assets.
How Pixel Art Processing Works
- The user provides a source file such as a video, GIF, or a single large image.
- For server-side tasks, the backend processes the request using FastAPI and specialized libraries like rembg for AI matting or FFmpeg for frame extraction.
- For client-side tasks, the browser Canvas API is utilized to perform lightweight operations like GIF splitting or simple image stitching directly in the interface.
- Assets are processed based on selected modes such as tight_bbox (cropping to alpha boundaries) or safe_bbox (adding padding).
- The final assets are generated as sprite sheets, optimized GIFs, or sequences of frames, accompanied by a JSON index for coordinate mapping.
Pixel Art Processing Setup
To deploy the backend for this Openclaw Skills integration, you can use Docker or a manual Python setup.
# Recommended Docker Deployment
cd <skill>/scripts
docker-compose up -d
# Manual Installation
pip install -r requirements.txt
python run_api.py
# Start the asynchronous worker (Redis required)
rq worker pixelwork --url redis://localhost:6379/0
Access the API documentation at http://localhost:8000/docs once the server is running.
Pixel Art Processing Data Schema & Taxonomy
The skill organizes sprite data using a standardized Index JSON to ensure frame-perfect alignment in game engines:
| Property | Description |
|---|---|
i |
Frame index |
x, y |
X and Y coordinates on the sprite sheet |
w, h |
Width and height of the individual frame |
t |
Timestamp in seconds (for video-derived frames) |
It also utilizes specific processing modes: tight_bbox (alpha-based cropping), safe_bbox (alpha boundary plus padding), and none.
Pixel Art Processing Advanced Features
- AI-powered background removal via the u2net model integration.
- Connected Component detection for intelligent selection and 'super eraser' tools.
- Automated RPG Maker sprite workflow optimization.
- Full FFmpeg integration for high-precision video-to-frame conversion.
- Multi-threaded processing support using Redis and RQ for high-volume asset batches.
SKILL.md
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