A professional CLI tool that generates custom flag designs with realistic fabric textures and metallic insignia from text prompts or reference images.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-flag-generator-cli-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-flag-generator-cli-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 Flag Generator is a specialized Openclaw Skills integration designed for developers and creators who need high-quality vexillological designs. By leveraging the WeShop CLI, this skill allows users to transform simple text descriptions or brand logos into sophisticated flag concepts complete with realistic fabric folds, shadows, and metallic elements.
This tool is built for speed and reliability, ensuring that creative assets can be generated directly from the terminal or integrated into larger automated design pipelines. It emphasizes security by utilizing environment variables for API management, making it a robust choice for professional environments.
First, ensure you have the necessary CLI tools installed via npm:
npm install -g weshop-cli
Next, obtain your API key from the official WeShop portal and export it to your environment to enable Openclaw Skills functionality:
export WESHOP_API_KEY='your_api_key_here'
Verify the installation by checking the version:
weshop --version
The skill produces a structured output that maps generation metadata to the resulting assets.
| Key | Description |
|---|---|
agent |
Identifies the generator used (ai-flag-generator). |
executionId |
A unique UUID for tracking the specific job. |
status |
The overall success state of the request. |
image[N] |
An array of objects containing the status and the public URL of the generated flag. |
--image flag to guide the AI with existing logos or patterns.--batch parameter.Loading
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