A versatile AI image generation and editing tool supporting multiple providers like OpenRouter and Kie.ai for seamless visual creation.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smtools-image-generation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install smtools-image-generation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Image Generation Skill is a high-performance utility designed for AI coding agents to programmatically create and modify visual content. By leveraging powerful backends like OpenRouter, Kie.ai, and YandexART, this skill enables the generation of high-fidelity images from text prompts and the sophisticated editing of existing files.
This addition to the Openclaw Skills library provides a unified interface for various state-of-the-art models, including Gemini, Stable Diffusion, and Flux. Whether you need synchronous generation for speed or task-based asynchronous processing for complex artistic renders, this skill handles the heavy lifting of API communication and file management.
To begin using this skill within your Openclaw Skills environment, ensure you have python3 installed and your API keys configured. Run the setup script to initialize the environment:
bash SKILL_DIR/setup.sh
Next, export your primary API key to your environment variables:
export OPENROUTER_API_KEY='your_api_key_here'
The skill manages data through a structured command-line interface and outputs standardized JSON objects. Below is the taxonomy for the output data:
| Field | Description |
|---|---|
status |
The result of the operation (e.g., "ok") |
image_path |
The absolute filesystem path to the resulting image file |
model |
The specific AI model used for the generation |
provider |
The service provider (OpenRouter, Kie, or YandexART) |
Configuration is handled via a config.json file, and generated images are saved to the local directory or a user-specified output path.
-i flag for iterative design workflows.Loading
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