KoKonna Frame Control for Openclaw

A specialized tool for controlling KoKonna AI e-ink art frames to upload images and monitor device status via AI agents.

guooscar
v1.2.0
Apr 13, 2026
0
804
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install kokonna-frame

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is KoKonna Frame Control?

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.

KoKonna Frame Control Use Cases

  • Instantly push AI-generated artwork from a chat interface to a physical e-ink display.
  • Automate daily photo updates across multiple rooms using multi-frame support.
  • Monitor the battery life and connectivity status of your art frames through voice queries.
  • Create a rotating digital gallery that changes based on your current mood or AI agent context.

How KoKonna Frame Control Works

  1. The user provides a command or image path to the AI agent, triggering the Openclaw Skills workflow.
  2. The skill identifies the target device based on the local configuration file and specified aliases.
  3. The image is processed locally using the Pillow library to ensure it matches the specific aspect ratio and resolution of the e-ink display.
  4. The skill authenticates with the KoKonna OpenAPI using a secure API key and transmits the optimized image data.
  5. The e-ink frame updates its display, and the skill returns the current device status including battery level and firmware version.

KoKonna Frame Control Setup

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"

KoKonna Frame Control Data Schema & Taxonomy

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

KoKonna Frame Control Advanced Features

  • Automatic Image Resizing: Intelligent cropping and scaling to prevent distortion on e-ink displays.
  • Multi-Device Broadcasting: Send a single image to all configured frames simultaneously using the all command.
  • Python API Access: A dedicated KoKonnaFrame class for developers to build custom automation logic outside of basic CLI usage.
  • Low-Power Monitoring: Integrated status checks to help manage device maintenance and charging schedules within your Openclaw Skills setup.

SKILL.md


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