A sophisticated OpenAPI-based skill that leverages AI to transform standard person photos into high-fidelity bikini model images or videos.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-generated-bikini-girls-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-generated-bikini-girls-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 Generated Bikini Girls OpenAPI Skill is a specialized integration designed for Openclaw Skills users who need high-quality fashion and apparel visualizations. By connecting directly to the WeShop OpenAPI, this skill allows AI agents to intelligently modify the outfit of a model in a provided photo while meticulously preserving natural body proportions and identity.
Whether you are generating static images or dynamic videos, such as TikTok-style dancing content, this skill automates the complex process of segmentation and rendering. It provides a secure, API-driven workflow for developers building creative automation tools or digital marketing platforms.
To integrate this skill into your Openclaw Skills environment, you must provide a valid WeShop API Key. Obtain your key at https://open.weshop.ai/authorization/apikey.
Set your environment variable to ensure secure access:
export WESHOP_API_KEY='your_raw_api_key_here'
Important: Do not use the Bearer prefix in the authorization header; the skill uses the raw key value directly.
The skill manages data through a structured request/response lifecycle. Key data points include:
| Object | Field | Description |
|---|---|---|
| Input | images |
An array of input photo URLs (maximum 1). |
| Params | generatedType |
Determines output format: video (default) or image. |
| Params | batchCount |
The number of outputs to generate (Range: 1-16). |
| Output | executionId |
The unique identifier used to track the job status and retrieve files. |
All results are stored within the data.executions[*].result[*].image path of the final successful JSON response.
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