An AI-powered skill that transforms portrait or full-body photos into high-quality bikini model images or videos via the WeShop OpenAPI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install custom-bikini-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 custom-bikini-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 Custom Bikini OpenAPI Skill?
The WeShop Custom Bikini skill is a specialized AI agent designed to automate the transformation of person photos into professional-grade bikini model content. By leveraging the WeShop OpenAPI, this tool enables developers to convert standard portraits into high-impact visual assets, including both static images and dynamic video clips. It is a robust addition to the ecosystem of Openclaw Skills, providing a programmatic way to handle complex image segmentation and outfit synthesis.
This skill is particularly effective for users who need to maintain natural body proportions while generating specific aesthetic results. It handles the heavy lifting of AI processing, from initial image segmentation to final rendering, allowing developers to focus on the creative direction of their Openclaw Skills projects.
WeShop Custom Bikini OpenAPI Skill Use Cases
- Automating the creation of fashion marketing content from standard portrait photos.
- Generating AI-driven video content for social media platforms like TikTok using the built-in dance animation feature.
- Bulk processing images for ecommerce catalogs or digital marketing campaigns.
- Integrating professional AI image manipulation into custom Openclaw Skills agents.
How WeShop Custom Bikini OpenAPI Skill Works
- The skill identifies the source image, either through a local upload to the WeShop asset endpoint or a provided URL.
- A run is initiated targeting the custom-bikini agent (v1.0) with specific parameters such as output type (image or video) and batch count.
- The WeShop API processes the request through several internal states: Pending, Segmenting, and Running.
- The agent polls the execution ID endpoint periodically to check for completion.
- Upon a Success status, the skill retrieves the final image or video URLs from the result payload for use in the Openclaw Skills workflow.
WeShop Custom Bikini OpenAPI Skill Setup
To integrate this skill into your environment, follow these steps:
- Obtain an API key from the official WeShop developer portal at https://open.weshop.ai/authorization/apikey.
- Set the environment variable required for Openclaw Skills to authenticate requests.
export WESHOP_API_KEY='your_raw_api_key_here'
- Ensure your network configuration allows HTTPS access to openapi.weshop.ai. Note that the API key should be sent as a raw value in the Authorization header without the Bearer prefix.
WeShop Custom Bikini OpenAPI Skill Data Schema & Taxonomy
The skill utilizes a structured JSON schema for inputs and execution tracking:
| Feature | Details |
|---|---|
| Input Schema | Requires an array of image URLs (portrait or full-body) |
| Parameters | Supports textDescription, generatedType (video/image), and batchCount (1-16) |
| Execution States | Tracks progress via Pending, Segmenting, Running, Success, or Failed |
| Output Metadata | Returns an array of result objects containing final asset URLs |
WeShop Custom Bikini OpenAPI Skill Advanced Features
- Multi-format output: Generate either high-resolution static images or animated video files (e.g., TikTok dance style).
- Batch Processing: Generate up to 16 different variations in a single API call for rapid content iteration.
- Custom Prompting: Use the textDescription parameter to fine-tune the bikini scene and environmental context.
- Native Openclaw Skills Integration: Fully compatible with environment-variable based authentication and standard agent polling patterns.
SKILL.md
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