An AI-powered skill that predicts a baby's appearance by blending facial features from two parent photos via the WeShop OpenAPI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install baby-face-generator-openapi-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install baby-face-generator-openapi-skill 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 WeShop Baby Face Generator Skill?
The WeShop Baby Face Generator is a specialized tool designed for AI agents to simulate genetic blending between two parents. By leveraging advanced computer vision models, this skill analyzes facial features, skin tones, and ethnic characteristics to generate realistic images of a potential child. It is a powerful addition to the library of Openclaw Skills, enabling developers to build interactive family-planning or entertainment-based AI workflows.
This skill interfaces directly with the WeShop OpenAPI, providing a structured way to handle image uploads, process complex generational tasks, and poll for high-resolution results. It emphasizes security and efficiency, ensuring that API interactions are streamlined for modern AI coding agents.
WeShop Baby Face Generator Skill Use Cases
- Creating personalized entertainment apps that predict future child appearances for couples.
- Enhancing photography or gift-related services with AI-generated family previews.
- Integrating genetic visualization features into genealogy or family tree platforms.
- Developing interactive social media bots that engage users with AI imagery.
How WeShop Baby Face Generator Skill Works
- The agent captures or receives two parent photo URLs or local files.
- If local files are provided, the skill uploads them to the WeShop assets endpoint to obtain reusable URLs.
- A run is initiated by sending a POST request with the agent name
baby-face-generatorand the parent image URLs. - The system processes the facial blending based on the provided text description and batch count.
- The skill polls the execution ID status until it reaches a Success or Failed state.
- The final generated baby images are retrieved from the result payload and presented to the user.
WeShop Baby Face Generator Skill Setup
To utilize this skill, you must configure your environment with the WeShop API key. Use the following steps to get started:
- Obtain your API key from the WeShop Authorization page.
- Set the environment variable in your terminal:
export WESHOP_API_KEY='your_actual_api_key_here'
- Ensure your agent is configured to point to
[https://openapi.weshop.ai](https://openapi.weshop.ai)for all requests.
WeShop Baby Face Generator Skill Data Schema & Taxonomy
The skill organizes data through a structured request/response lifecycle. Below is the primary data taxonomy:
| Object | Property | Description |
|---|---|---|
| Input | images |
Array of parent photo URLs (Max 2) |
| Params | textDescription |
Custom prompt for blending characteristics |
| Params | batchCount |
Number of variations to generate (1-16) |
| Response | executionId |
Unique ID used for polling status |
| Result | image |
The final URL of the generated baby photo |
WeShop Baby Face Generator Skill Advanced Features
- Multi-batch generation: Generate up to 16 variations in a single request for diverse results.
- Custom Prompting: Override the default AI instructions to specify gender, lighting, or specific ethnic feature blending.
- Asset Management: Integrated image upload utility to convert local binary files into cloud-hosted URLs for AI processing.
- Status Polling Logic: Built-in support for tracking asynchronous job states from Pending to Success.
SKILL.md
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