An AI-powered generator that transforms standard clothing photos into high-quality, professional flat-lay product images for e-commerce.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install flat-lay-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 flat-lay-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 Flat-Lay AI?
The flat-lay-openapi-skill is a specialized tool within the Openclaw Skills library designed to streamline e-commerce content creation. By leveraging the WeShop OpenAPI, this skill allows developers and AI agents to programmatically convert raw garment or model photos into clean, professional flat-lay displays suitable for online storefronts and marketing materials.
This skill serves as a bridge to advanced generative AI models (nano and nano2), providing fine-grained control over output resolution, aspect ratios, and batch processing. It is engineered for high-performance workflows where visual consistency and high-fidelity output are critical for digital retail success.
WeShop Flat-Lay AI Use Cases
- Automatically generating flat-lay product photos for Shopify or Amazon listings from simple smartphone snapshots.
- Batch processing entire clothing catalogs to ensure a uniform visual style across a brand's website.
- Creating localized or themed marketing assets by adjusting text descriptions for specific flat-lay backgrounds.
- Reducing studio photography costs by digitally converting on-model shots into flat-lay images.
How WeShop Flat-Lay AI Works
- The user provides a garment or model photo URL or uploads a local image via the assets endpoint.
- A POST request is sent to the Openclaw Skills agent with specified parameters including text descriptions and desired resolution.
- The skill initiates a run on the WeShop OpenAPI, returning a unique execution ID.
- The agent polls the status endpoint until the image processing moves from Pending to Success.
- The final high-resolution flat-lay images are retrieved from the result payload for use in e-commerce applications.
WeShop Flat-Lay AI Setup
To use this skill, you must configure your environment with a valid WeShop API key. Use the following steps to get started:
- Obtain your API key from the official WeShop portal.
- Set the environment variable in your terminal:
export WESHOP_API_KEY='your_api_key_here'
- Ensure your Openclaw Skills environment has HTTPS access to
openapi.weshop.ai.
WeShop Flat-Lay AI Data Schema & Taxonomy
The skill manages data through a structured request/response lifecycle. Below is the primary schema for execution and tracking:
| Data Object | Description | Key Fields |
|---|---|---|
| Input | Source image metadata | originalImage (URL) |
| Params | Generation settings | modelName, imageSize, aspectRatio, batchCount |
| Status | Lifecycle tracking | executionId, status (Pending, Success, Failed) |
| Output | Resultant assets | data.executions[*].result[*].image |
All generated assets are provided as reusable URLs via the WeShop asset management system.
WeShop Flat-Lay AI Advanced Features
- Multi-model support allowing users to toggle between nano (standard) and nano2 (high-performance) AI engines.
- High-resolution export capabilities supporting output scales up to 4K for print-ready quality.
- Batch generation support, enabling the creation of up to 16 variations in a single execution.
- Flexible aspect ratio controls (from 1:1 to 21:9) to fit various social media and web design layouts.
- Built-in image segmentation to accurately isolate garments from complex backgrounds before generating the flat-lay.
SKILL.md
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