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extension-qr-code
QR code scanner using the camera.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
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QR code scanner using the camera.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Quick reference for the Caffeine Data Intelligence agent to query an OQL-exposing canister (schema() + execute()) through the `icp` CLI against the project's `backend` canister: read the schema, form JSON queries (filter / order / paginate / aggregate / dotted-path edges), and parse the Candid result rows.
Make a canister's data queryable by the Caffeine Data Intelligence agent. Use whenever an app stores structured data (Maps/Lists/arrays of records) that should be answerable in natural language — "top customers", "revenue by region", "active projects". Adds a discoverable `schema()` and a JSON `execute()` query endpoint via the `caffeineai-oql` mops package's `Expose` mixin.
Core infrastructure providing backend connection configuration, storage client, and React app entry point.
General file/object storage, such as for images, videos, files, documents and other bulk data. Perfect fit for image galleries, video galleries, and other file or object management. Supports large files beyond IC limit, with browser-cached HTTP URL access.
Use the `googlemail-client` mops package whenever the user asks the canister to send email, compose a draft, list or read Gmail messages, or fetch the authenticated user's Gmail profile. The package wraps the Gmail REST API v1 at `https://gmail.googleapis.com` via outbound HTTPS calls.
HTTP outcalls performed by the backend canister (not in the frontend).
| name | extension-qr-code |
| description | QR code scanner using the camera. |
| version | 0.1.4 |
| compatibility | {"npm":{"@caffeineai/qr-code":"~0.1.1","@caffeineai/camera":"~0.1.1"}} |
| caffeineai-subscription | ["none"] |
QR code scanner extension for Caffeine AI.
This skill adds QR code scanning using the device camera. Built on top of the camera component with jsQR for decoding.
For QR code scanner support:
There is a prefabricated React hook imported from @caffeinelabs/qr-code that cannot be modified.
import { RefObject } from 'react';
import { CameraConfig, CameraError } from '@caffeineai/camera';
export interface QRResult {
// The decoded QR code data
data: string;
// Timestamp when the QR code was scanned
timestamp: number;
}
export interface QRScannerConfig extends CameraConfig {
// How often to scan for QR codes in milliseconds (default: 100)
scanInterval?: number;
// Maximum number of results to keep in history (default: 10)
maxResults?: number;
// URL to load jsQR library from (default: jsdelivr CDN)
jsQRUrl?: string;
}
export interface UseQRScannerReturn {
// Array of scanned QR codes (newest first)
qrResults: QRResult[];
// Whether currently scanning for QR codes
isScanning: boolean;
// Whether jsQR library has been loaded
jsQRLoaded: boolean;
// Camera state (pass-through from useCamera)
isActive: boolean;
isSupported: boolean | null;
error: CameraError | null;
isLoading: boolean;
currentFacingMode: 'user' | 'environment';
// Start camera and begin scanning - returns true on success
startScanning: () => Promise<boolean>;
// Stop scanning and camera
stopScanning: () => Promise<void>;
// Switch camera facing mode - returns true on success
switchCamera: () => Promise<boolean>;
// Clear all scan results
clearResults: () => void;
// Reset scanner state (stop scanning and clear results)
reset: () => void;
// Retry camera initialization after error - returns true on success
retry: () => Promise<boolean>;
// Ref to attach to video element for camera preview
videoRef: RefObject<HTMLVideoElement>;
// Ref to attach to canvas element used for QR processing (can be hidden)
canvasRef: RefObject<HTMLCanvasElement>;
// Computed state
// Whether scanner is ready to use (jsQR loaded and camera supported)
isReady: boolean;
// Whether scanning can be started (ready + not loading)
canStartScanning: boolean;
}
export declare function useQRScanner(config?: QRScannerConfig): UseQRScannerReturn;
Usage example:
import { useQRScanner } from '@caffeineai/qr-code';
function QRScannerComponent() {
const {
qrResults,
isScanning,
isActive,
isSupported,
error,
isLoading,
canStartScanning,
startScanning,
stopScanning,
switchCamera,
clearResults,
videoRef,
canvasRef
} = useQRScanner({
facingMode: 'environment',
scanInterval: 100,
maxResults: 5
});
if (isSupported === false) {
return <div>Camera not supported</div>;
}
return (
<div>
<video
ref={videoRef}
style={{ width: '100%', height: 'auto' }}
playsInline
muted
/>
<canvas ref={canvasRef} style={{ display: 'none' }} />
{error && <div>Error: {error.message}</div>}
<div>
<button onClick={startScanning} disabled={!canStartScanning}>
Start Scanning
</button>
<button onClick={stopScanning} disabled={isLoading || !isActive}>
Stop Scanning
</button>
{/* Only show switch camera on mobile */}
{/Android|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent) && (
<button onClick={switchCamera} disabled={isLoading || !isActive}>
Switch Camera
</button>
)}
</div>
<div>
<h3>Results {qrResults.length > 0 && <button onClick={clearResults}>Clear</button>}</h3>
{qrResults.map(result => (
<div key={result.timestamp}>
<small>{new Date(result.timestamp).toLocaleTimeString()}</small>
<p>{result.data}</p>
</div>
))}
</div>
</div>
);
}
Properly display QR scanner error messages in the app.