Extract React components from production websites using browser automation. Ideal for developers and operations teams needing to reuse or analyze existing UI components. Integrates with browser automation tools for direct component extraction.
git clone https://github.com/dennisonbertram/steal-react-component.gitExtract React components from production websites using browser automation. Ideal for developers and operations teams needing to reuse or analyze existing UI components. Integrates with browser automation tools for direct component extraction.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/dennisonbertram/steal-react-componentCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Extract the React component code from the following website URL: [URL]. Provide the component code in a clean, readable format with proper syntax highlighting. Ensure the extracted code includes all necessary dependencies and styles.
```jsx
import React from 'react';
const FeaturedProducts = () => {
const products = [
{ id: 1, name: 'Smartphone X', price: '$799' },
{ id: 2, name: 'Wireless Earbuds', price: '$199' },
{ id: 3, name: 'Smartwatch Pro', price: '$299' }
];
return (
<div className='featured-products'>
<h2>Featured Products</h2>
<div className='product-grid'>
{products.map(product => (
<div key={product.id} className='product-card'>
<h3>{product.name}</h3>
<p>{product.price}</p>
<button>Add to Cart</button>
</div>
))}
</div>
</div>
);
}
export default FeaturedProducts;
```
The extracted React component includes:
- A functional component named `FeaturedProducts`
- A list of products with basic information
- A grid layout for displaying product cards
- Basic styling classes for the component structure
This component can be directly integrated into a React application and styled further as needed.AI assistant built for thoughtful, nuanced conversation
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