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optimizing-images
by WesleySmits
43 production-ready skills for AI coding agents. Works with Claude, GitHub Copilot, Cursor, Windsurf, and Zed.
⭐ 0🍴 0📅 Jan 18, 2026
SKILL.md
name: optimizing-images description: Optimizes images and generates responsive markup. Use when the user asks about image formats (WebP, AVIF), srcset, responsive images, Next.js Image, or reducing image file sizes.
Image Optimization Assistant
When to use this skill
- User asks about image optimization
- User mentions WebP, AVIF, or modern formats
- User wants responsive images or srcset
- User asks about Next.js Image or picture element
- User wants to reduce page weight from images
Workflow
- Audit current images
- Identify optimization opportunities
- Convert to modern formats
- Generate responsive markup
- Implement lazy loading
- Validate improvements
Instructions
Step 1: Audit Current Images
Find large images:
find public -type f \( -name "*.jpg" -o -name "*.png" -o -name "*.gif" \) -size +100k -exec ls -lh {} \;
Check image dimensions:
# Requires ImageMagick
find public -type f \( -name "*.jpg" -o -name "*.png" \) -exec identify -format "%f: %wx%h (%b)\n" {} \;
Detect unoptimized in HTML:
grep -rn --include="*.tsx" --include="*.html" '<img' src/ | grep -v 'loading='
Step 2: Format Selection
| Format | Use Case | Browser Support |
|---|---|---|
| WebP | Photos, general use | 97%+ |
| AVIF | Best compression, photos | 92%+ |
| PNG | Transparency, icons | 100% |
| SVG | Icons, logos, illustrations | 100% |
| JPEG | Legacy fallback | 100% |
Compression comparison (typical):
| Original | WebP | AVIF |
|---|---|---|
| 500KB JPEG | ~300KB (-40%) | ~200KB (-60%) |
| 200KB PNG | ~80KB (-60%) | ~50KB (-75%) |
Step 3: Convert Images
Using Sharp (Node.js):
npm install sharp
// scripts/optimize-images.ts
import sharp from "sharp";
import { glob } from "glob";
import path from "path";
const QUALITY = { webp: 80, avif: 65 };
const SIZES = [640, 750, 828, 1080, 1200, 1920];
async function optimizeImage(inputPath: string): Promise<void> {
const dir = path.dirname(inputPath);
const name = path.basename(inputPath, path.extname(inputPath));
for (const width of SIZES) {
const image = sharp(inputPath).resize(width);
// WebP
await image
.webp({ quality: QUALITY.webp })
.toFile(path.join(dir, `${name}-${width}.webp`));
// AVIF
await image
.avif({ quality: QUALITY.avif })
.toFile(path.join(dir, `${name}-${width}.avif`));
}
console.log(`Optimized: ${inputPath}`);
}
async function main() {
const images = await glob("public/images/**/*.{jpg,jpeg,png}");
await Promise.all(images.map(optimizeImage));
}
main();
Using CLI tools:
# WebP conversion
npx @aspect/image-optimize --format webp --quality 80 public/images/*.jpg
# Using cwebp directly
cwebp -q 80 input.jpg -o output.webp
# AVIF with avif-cli
npx avif --input public/images/*.jpg --quality 65
Step 4: Responsive Image Markup
HTML picture element:
<picture>
<!-- AVIF for browsers that support it -->
<source
type="image/avif"
srcset="
/images/hero-640.avif 640w,
/images/hero-1080.avif 1080w,
/images/hero-1920.avif 1920w
"
sizes="(max-width: 768px) 100vw, 50vw"
/>
<!-- WebP fallback -->
<source
type="image/webp"
srcset="
/images/hero-640.webp 640w,
/images/hero-1080.webp 1080w,
/images/hero-1920.webp 1920w
"
sizes="(max-width: 768px) 100vw, 50vw"
/>
<!-- JPEG fallback for old browsers -->
<img
src="/images/hero-1080.jpg"
alt="Hero image description"
width="1920"
height="1080"
loading="lazy"
decoding="async"
/>
</picture>
Sizes attribute guide:
| Layout | Sizes Value |
|---|---|
| Full width | 100vw |
| Half width on desktop | (min-width: 768px) 50vw, 100vw |
| Fixed width | 300px |
| Grid (3 columns) | (min-width: 1024px) 33vw, (min-width: 768px) 50vw, 100vw |
Step 5: Framework Integration
Next.js Image:
import Image from 'next/image';
// Basic usage - automatic optimization
<Image
src="/images/hero.jpg"
alt="Hero description"
width={1920}
height={1080}
priority // For above-the-fold images
/>
// Fill container
<div className="relative h-64">
<Image
src="/images/hero.jpg"
alt="Hero description"
fill
className="object-cover"
sizes="(max-width: 768px) 100vw, 50vw"
/>
</div>
// With placeholder blur
import heroImage from '@/public/images/hero.jpg';
<Image
src={heroImage}
alt="Hero description"
placeholder="blur"
priority
/>
next.config.js for external images:
module.exports = {
images: {
remotePatterns: [
{
protocol: "https",
hostname: "cdn.example.com",
},
],
formats: ["image/avif", "image/webp"],
deviceSizes: [640, 750, 828, 1080, 1200, 1920, 2048],
imageSizes: [16, 32, 48, 64, 96, 128, 256, 384],
},
};
Nuxt Image:
<template>
<NuxtImg
src="/images/hero.jpg"
alt="Hero description"
width="1920"
height="1080"
format="webp"
loading="lazy"
sizes="sm:100vw md:50vw lg:33vw"
/>
<!-- With picture for art direction -->
<NuxtPicture
src="/images/hero.jpg"
alt="Hero description"
sizes="sm:100vw md:50vw"
:imgAttrs="{ class: 'rounded-lg' }"
/>
</template>
// nuxt.config.ts
export default defineNuxtConfig({
modules: ["@nuxt/image"],
image: {
format: ["avif", "webp"],
screens: {
sm: 640,
md: 768,
lg: 1024,
xl: 1280,
},
},
});
Step 6: Lazy Loading
Native lazy loading:
<img src="/image.jpg" alt="Description" loading="lazy" decoding="async" />
Intersection Observer (custom):
// hooks/useLazyImage.ts
import { useEffect, useRef, useState } from "react";
export function useLazyImage(src: string) {
const [isLoaded, setIsLoaded] = useState(false);
const [isInView, setIsInView] = useState(false);
const imgRef = useRef<HTMLImageElement>(null);
useEffect(() => {
const observer = new IntersectionObserver(
([entry]) => {
if (entry.isIntersecting) {
setIsInView(true);
observer.disconnect();
}
},
{ rootMargin: "50px" },
);
if (imgRef.current) observer.observe(imgRef.current);
return () => observer.disconnect();
}, []);
return { imgRef, isInView, isLoaded, setIsLoaded };
}
Above-the-fold images (don't lazy load):
// Hero images, LCP candidates
<Image src="/hero.jpg" alt="Hero" priority />
// Or in HTML
<img src="/hero.jpg" alt="Hero" fetchpriority="high" />
Step 7: Responsive Breakpoints
Calculate optimal breakpoints:
// scripts/calculate-breakpoints.ts
const VIEWPORT_WIDTHS = [320, 375, 414, 768, 1024, 1280, 1440, 1920];
const DEVICE_PIXEL_RATIOS = [1, 2, 3];
function calculateBreakpoints(
imageWidth: number,
containerRatio: number = 1, // 1 = full width, 0.5 = half width
): number[] {
const breakpoints = new Set<number>();
for (const viewport of VIEWPORT_WIDTHS) {
for (const dpr of DEVICE_PIXEL_RATIOS) {
const width = Math.round(viewport * containerRatio * dpr);
if (width <= imageWidth) {
breakpoints.add(width);
}
}
}
return Array.from(breakpoints).sort((a, b) => a - b);
}
// Example: 1920px image at half viewport
console.log(calculateBreakpoints(1920, 0.5));
// [160, 188, 207, 320, 375, 384, 414, 512, 621, 640, 768, 960]
Step 8: Build Pipeline Integration
Vite plugin:
// vite.config.ts
import { imagetools } from "vite-imagetools";
export default {
plugins: [
imagetools({
defaultDirectives: new URLSearchParams({
format: "webp;avif;jpg",
w: "640;1280;1920",
quality: "80",
}),
}),
],
};
// Usage with query params
import heroSrcset from "./hero.jpg?w=640;1280;1920&format=webp&as=srcset";
import heroAvif from "./hero.jpg?w=1280&format=avif";
GitHub Action for optimization:
name: Optimize Images
on:
pull_request:
paths:
- "public/images/**"
jobs:
optimize:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Optimize images
uses: calibreapp/image-actions@main
with:
githubToken: ${{ secrets.GITHUB_TOKEN }}
jpegQuality: "80"
webpQuality: "80"
Optimization Checklist
| Check | Target |
|---|---|
| Format | WebP/AVIF with JPEG fallback |
| Dimensions | No larger than 2x display size |
| File size | < 200KB for hero, < 100KB for cards |
| Lazy loading | All images below fold |
| Explicit dimensions | width/height on all images |
| Alt text | Descriptive on all images |
Validation
Before completing:
- Images converted to WebP/AVIF
- Responsive srcset generated
- Lazy loading on below-fold images
- Priority on LCP image
- Width/height prevent layout shift
- Total image weight reduced
# Check image sizes
npx @unlighthouse/cli --site http://localhost:3000
# Lighthouse
npx lighthouse http://localhost:3000 --only-categories=performance
Error Handling
- Sharp installation fails: Install build tools; use prebuilt binaries.
- AVIF encoding slow: Use lower effort setting or limit to key images.
- CDN not serving modern formats: Check Accept header handling and cache config.
- Layout shift on load: Always include width/height or aspect-ratio.
Resources
- Squoosh - Browser-based comparison
- Sharp Documentation
- Next.js Image Optimization
- web.dev Image Optimization
Score
Total Score
60/100
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