A versatile image generation skill supporting OpenAI-compatible and Gemini model workflows for synchronous and asynchronous output.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aiznt-images
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 aiznt-images 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 AIZNT Images?
AIZNT Images is a robust technical skill designed for developers and creators who need to integrate high-fidelity image generation into their automated workflows. As part of the Openclaw Skills library, it provides a standardized interface for both OpenAI-style image generation and Gemini's generateContent image previews, bridging the gap between different model architectures.
This skill excels at handling diverse generation modes, including immediate synchronous processing for real-time needs and asynchronous task management for high-volume or complex rendering. By utilizing proxy configurations, it ensures stable and scalable access to state-of-the-art visual models.
AIZNT Images Use Cases
- Generating high-quality visual assets using Gemini and OpenAI-compatible image models.
- Managing long-running image generation tasks through asynchronous fetch operations.
- Integrating automated image creation into multi-agent AI coding and content pipelines.
- Batch processing image requests using standardized Openclaw Skills credentials.
How AIZNT Images Works
- The user provides a structured JSON body containing the prompt, desired model, and parameters.
- For synchronous requests, the skill triggers the generation and waits for the direct image URL or data.
- For asynchronous requests, the skill initiates a task and returns a unique Task ID.
- The fetch command is used periodically to retrieve the status and final assets of the asynchronous task.
- Specialized Gemini endpoints allow for direct generateContent integration using the latest image preview models.
AIZNT Images Setup
To deploy this skill, ensure your environment variables are configured with your proxy URLs and authentication tokens.
# Configure environment
export AIZNT_PROXY_URLS="your_proxy_endpoint"
export TS_TOKEN="your_ts_claw_token"
# Basic synchronous generation
node scripts/images.js sync --body '{"prompt":"A futuristic cityscape","model":"dall-e-3"}'
# Async generation and fetching
node scripts/images.js async --body '{"prompt":"Detailed architectural render"}'
node scripts/images.js async-fetch --task-id <id>
AIZNT Images Data Schema & Taxonomy
AIZNT Images utilizes a flexible data schema for both input requests and output management:
| Feature | Description |
|---|---|
| Request Body | Strictly formatted JSON containing prompt, model, and optional parameters like size or quality. |
| Task Management | Asynchronous tasks return a task_id for status tracking and retrieval. |
| URL Mappings | Supports internal keys like v1_images_generations and v1_models_generate_content. |
| Credentials | Integrates with TsClaw for batch credential synchronization across the environment. |
AIZNT Images Advanced Features
- Multi-model support: Seamlessly switch between standard DALL-E style endpoints and Gemini-specific image generation.
- Asynchronous scaling: Decouples generation from execution to prevent timeout issues in complex workflows.
- Proxy-ready architecture: Built-in support for AIZNT_PROXY_URLS to handle global API routing and rate limiting.
- Openclaw Skills integration: Fully compatible with the broader ecosystem for unified environment and credential management.
SKILL.md
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