A powerful command-line interface for generating, editing, and managing images using OpenAI's state-of-the-art GPT Image and DALL-E models.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openai-image-cli
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 openai-image-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This Openclaw Skills integration brings the full creative power of OpenAI directly to your terminal. It enables developers and creators to automate image workflows, from simple text-to-image generation to complex inpainting and multi-image compositions. By leveraging the latest models like gpt-image-1.5, users can produce high-quality landscape, portrait, or square assets with fine-grained control over parameters like quality, format, and transparency.
Designed for speed and flexibility, the tool supports everything from rapid prototyping to high-volume production. Whether you are building marketing materials or integrating visual assets into a development pipeline, this skill provides the necessary bridge between OpenAI's advanced generative models and your local environment.
Install the package globally using npm:
npm install -g @versatly/openai-image-cli
Set your OpenAI API key as an environment variable or via the config tool:
# Via environment variable
export OPENAI_API_KEY=sk-...
# Or via internal configuration
openai-image config set api-key sk-...
The skill organizes its output and metadata as follows:
| Component | Details |
|---|---|
| Image Files | Saved locally in PNG, JPEG, or WebP formats based on user preference. |
| Configuration | Local storage for api-key, default-model, default-size, and output-dir. |
| History Log | Local database of generation events accessible via the history command. |
| JSON Output | Structured metadata including file paths, model usage, and input/output token counts. |
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