SharpAPI Laravel Client automates workflows in marketing, e-commerce, and content management. It connects Laravel applications to AI-powered APIs for content analysis and automation. Ideal for marketing teams looking to streamline processes and integrate AI capabilities into their existing PHP workflows.
git clone https://github.com/sharpapi/sharpapi-laravel-client.gitSharpAPI Laravel Client automates workflows in marketing, e-commerce, and content management. It connects Laravel applications to AI-powered APIs for content analysis and automation. Ideal for marketing teams looking to streamline processes and integrate AI capabilities into their existing PHP workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/sharpapi/sharpapi-laravel-clientCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a Laravel controller that uses the SharpAPI Laravel Client to analyze customer sentiment from [DATA] in [INDUSTRY]. Include methods for fetching, processing, and storing sentiment analysis results. Use the [COMPANY] branding guidelines for output formatting.
# Sentiment Analysis Controller
```php
<?php
namespace App\Http\Controllers;
use Illuminate\Http\Request;
use SharpAPI\Laravel\Client;
class SentimentAnalysisController extends Controller
{
protected $sharpAPIClient;
public function __construct(Client $client)
{
$this->sharpAPIClient = $client;
}
public function analyze(Request $request)
{
$data = $request->input('customer_reviews');
$analysis = $this->sharpAPIClient->analyzeSentiment($data);
return response()->json($analysis);
}
public function storeAnalysis($analysis)
{
// Store analysis in database
return Analysis::create($analysis);
}
}
```
## Usage Example
```php
// In your route file
Route::post('/analyze-sentiment', [SentimentAnalysisController::class, 'analyze']);
// Send a POST request with customer reviews
{
"customer_reviews": [
"I love the product! It's amazing!",
"The service was terrible, never again."
]
}
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