A specialized image transformation skill that converts portrait photos into exaggerated anime-style expressions via the WeShop OpenAPI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-ahegao-ai-openapi-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-ahegao-ai-openapi-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 Ahegao AI skill is a creative tool designed for Openclaw Skills users who need to automate complex facial transformations. By leveraging advanced generative models through the WeShop OpenAPI, this skill allows agents to take a standard portrait and re-render it into a specific anime-inspired aesthetic. It serves as a bridge between local file management and high-performance cloud AI processing.
This integration simplifies the workflow of image generation within the Openclaw Skills framework by handling asset uploads, execution polling, and final image retrieval. It provides developers and creators with a robust mechanism to experiment with stylized character art and expressive visual content.
To use this Openclaw Skills integration, you must provide a valid API key from WeShop.
# Set your API key as an environment variable
export WESHOP_API_KEY="your_actual_api_key_here"
Note: Obtain your API key from the official WeShop authorization page. The skill is designed to automatically detect this environment variable.
The skill utilizes a structured request and response format to ensure compatibility within the Openclaw Skills architecture:
| Object | Field | Description |
|---|---|---|
| Agent | name | Fixed as ai-ahegao-ai |
| Agent | version | Current version v1.0 |
| Input | originalImage | The source URL of the portrait |
| Params | textDescription | Prompt for the transformation (Default: stick tongue out and roll eyes up top) |
| Params | batchCount | Number of variations to generate (1-16) |
| Output | result.image | The URL of the generated anime-style image |
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