A specialized tool for controlling KoKonna AI e-ink art frames to upload images and monitor device status via AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kokonna-frame
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 kokonna-frame using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The KoKonna Frame Control skill enables developers and smart home enthusiasts to bridge the gap between AI agents and physical e-ink displays. By integrating this capability into your Openclaw Skills library, you can programmatically push artwork, photos, or data visualizations to your KoKonna devices using simple natural language triggers. It handles the technical heavy lifting of image processing and API communication, turning your e-ink frame into a dynamic, AI-driven canvas.
This skill is designed for those who want a seamless way to display visual content in their physical environment. Whether you are building an automated art gallery or a status dashboard, this integration provides the necessary tools to manage multiple devices from a single interface. By leveraging Openclaw Skills, users can enjoy a more interactive and visually responsive AI assistant experience.
To get started, first ensure you have the required Python dependencies installed:
pip install requests Pillow
Next, configure your devices by editing the configuration file located at ~/.openclaw/skills/kokonna-frame/config.yaml. You will need to obtain your API key from the settings menu at kokonna.art:
api_base_url: "https://api.galaxyguide.cn/openapi"
devices:
living_room: "your-api-key-here"
bedroom: "your-api-key-here"
The skill manages device connectivity and image metadata using a structured schema to ensure compatibility across the Openclaw Skills ecosystem:
| Attribute | Description | Data Type |
|---|---|---|
| device_id | The unique identifier or alias for the target frame | String |
| image_name | A custom label displayed on the e-ink frame | String |
| status | The current operational state (online/offline) | Boolean |
| battery | Current charge level of the e-ink device | Integer |
| firmware | The version of the software running on the frame | String |
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