An AI-powered age progression tool that transforms portraits to visualize how individuals will look as they grow older.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-aging-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 ai-aging-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 AI Aging OpenAPI Skill?
The AI Aging OpenAPI Skill enables developers and AI agents to programmatically generate age-progressed versions of portrait photographs. By leveraging the WeShop OpenAPI infrastructure, this skill allows for high-quality visual transformations based on specific age-related text descriptions. It is designed to be integrated into broader workflows within the Openclaw Skills ecosystem, providing a reliable way to automate portrait manipulation without manual editing.
AI Aging OpenAPI Skill Use Cases
- Creating future self visualizations for entertainment and social applications.
- Enhancing digital marketing campaigns with age-targeted visual content.
- Automating bulk portrait transformations for creative studios and media projects.
- Integrating age progression features into custom AI agent workflows to provide predictive visual feedback.
How AI Aging OpenAPI Skill Works
- The process begins by uploading a local portrait image to the assets endpoint to obtain a reusable URL.
- An agent run is initiated by sending a POST request with the image URL and specific parameters like batch count.
- The AI service processes the image through several states: Pending, Segmenting, and Running.
- The agent polls the execution status using the unique execution ID until a terminal Success state is reached.
- The final transformed image URLs are extracted from the result object for display or further processing.
AI Aging OpenAPI Skill Setup
To utilize this skill, you must first obtain an API key from the official WeShop developer portal. Follow these steps for configuration:
- Set the primary environment variable:
export WESHOP_API_KEY="your_api_key_here"
- Ensure your environment allows outbound HTTPS requests to openapi.weshop.ai.
- Verify that your Openclaw Skills configuration is pointing to the correct environment variable for authentication.
AI Aging OpenAPI Skill Data Schema & Taxonomy
The skill manages data through a structured request-response model. Below is the metadata taxonomy used during execution:
| Parameter | Type | Description |
|---|---|---|
input.images |
Array | The source portrait image URL used for the transformation. |
params.textDescription |
String | Custom instruction for the AI (e.g., 'look like age 70'). |
params.batchCount |
Integer | Number of images to generate (range 1-16). |
executionId |
String | The unique identifier used to poll the status of the generation. |
result.image |
String | The final output URL of the age-progressed portrait. |
AI Aging OpenAPI Skill Advanced Features
- Batch processing support allows generating up to 16 different age variations in a single run.
- Fine-grained control over aging effects through custom text-based aging instructions.
- High-precision segmentation phase ensures the AI focuses specifically on the portrait features for realistic results.
- Native compatibility with other Openclaw Skills for building complex, multi-stage image processing pipelines.
SKILL.md
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