sharp

High-performance image processing for resizing, converting, and manipulating images.

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Install skill "sharp" with this command: npx skills add aidotnet/moyucode/aidotnet-moyucode-sharp

Sharp Tool

Description

High-performance image processing for resizing, converting, and manipulating images.

Source

  • Repository: lovell/sharp

  • License: Apache-2.0

Installation

npm install sharp

Usage Examples

Resize Image

import sharp from 'sharp';

// Resize to specific dimensions await sharp('input.jpg') .resize(800, 600) .toFile('output.jpg');

// Resize with aspect ratio preserved await sharp('input.jpg') .resize(800, null) // Width 800, auto height .toFile('output.jpg');

// Resize with fit options await sharp('input.jpg') .resize(800, 600, { fit: 'cover', // cover, contain, fill, inside, outside position: 'center' // center, top, right, bottom, left }) .toFile('output.jpg');

Convert Format

// Convert to WebP await sharp('input.jpg') .webp({ quality: 80 }) .toFile('output.webp');

// Convert to AVIF (modern format) await sharp('input.jpg') .avif({ quality: 60 }) .toFile('output.avif');

// Convert to PNG with transparency await sharp('input.jpg') .png({ compressionLevel: 9 }) .toFile('output.png');

Image Manipulation

// Rotate and flip await sharp('input.jpg') .rotate(90) .flip() .toFile('output.jpg');

// Blur and sharpen await sharp('input.jpg') .blur(5) .sharpen() .toFile('output.jpg');

// Grayscale and tint await sharp('input.jpg') .grayscale() .tint({ r: 255, g: 128, b: 0 }) .toFile('output.jpg');

// Crop await sharp('input.jpg') .extract({ left: 100, top: 100, width: 500, height: 300 }) .toFile('output.jpg');

Add Watermark

async function addWatermark(input: string, watermark: string, output: string) { const image = sharp(input); const { width, height } = await image.metadata();

// Resize watermark const watermarkBuffer = await sharp(watermark) .resize(Math.round(width! * 0.2)) .toBuffer();

await image .composite([{ input: watermarkBuffer, gravity: 'southeast', blend: 'over', }]) .toFile(output); }

Generate Thumbnails

async function generateThumbnails(input: string, sizes: number[]) { const image = sharp(input);

await Promise.all(sizes.map(size => image .clone() .resize(size, size, { fit: 'cover' }) .jpeg({ quality: 80 }) .toFile(thumb-${size}.jpg) )); }

// Usage await generateThumbnails('photo.jpg', [64, 128, 256, 512]);

Stream Processing

import { createReadStream, createWriteStream } from 'fs';

// Process large images with streams createReadStream('large-input.jpg') .pipe(sharp().resize(1920, 1080).jpeg({ quality: 85 })) .pipe(createWriteStream('output.jpg'));

Tags

image , resize , convert , thumbnail , processing

Compatibility

  • Codex: ✅

  • Claude Code: ✅

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