An AI-powered command-line tool that merges facial characteristics from two images into a single, cohesive portrait.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-face-merge-cli-skill
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 ai-face-merge-cli-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI Face Merge CLI is a sophisticated tool designed for developers and creators who need to synthesize facial features from two distinct sources. As part of the Openclaw Skills ecosystem, this skill utilizes the WeShop API to perform deep feature analysis rather than simple image overlays. It intelligently blends the structural characteristics of one face with the baseline composition and skin tone of another, resulting in a high-fidelity, realistic portrait.
This skill is built for integration within automated workflows, allowing users to programmatically generate unique human visuals. By leveraging Openclaw Skills, users can bridge the gap between local file management and cloud-based AI image generation through a simple terminal interface.
To get started with this skill, you must install the WeShop CLI and configure your authentication credentials:
# Install the CLI globally via npm
npm install -g weshop-cli
# Configure your API key
export WESHOP_API_KEY='your_api_key_here'
# Run a test merge
weshop ai-face-merge --image ./face1.jpg --image ./face2.jpg
The skill returns structured data identifying the status of the execution and the location of the generated assets. Below is the metadata taxonomy used by Openclaw Skills:
| Attribute | Type | Description |
|---|---|---|
agent |
String | The specific engine used (ai-face-merge) |
executionId |
String | Unique identifier for tracking the API request |
status |
String | Current state of the request (e.g., Success, Failure) |
imageCount |
Integer | The number of images requested in the batch |
url |
String | The publicly accessible URL of the generated portrait |
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