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optimize-images AI Agent Skill
Quellcode ansehen: b-open-io/gemskills
MediumInstallation
npx skills add b-open-io/gemskills --skill optimize-images 39
Installationen
Image Optimization for Web Projects
Optimize images for web performance using modern tools. This skill provides scripts and workflows for compressing PNG and JPEG images while maintaining visual quality.
When to Use This Skill
- Preparing images for production web deployment
- Reducing page load times
- Optimizing public/images directories
- Batch compressing screenshots, watercolors, photos
- Auditing image sizes before/after optimization
Core Tool: Sharp
Sharp is the fastest Node.js image processing library, built on libvips. Use it for all image optimization tasks.
Install Sharp
bun add -d sharp
# or
npm install -D sharpQuick Start Workflow
1. Benchmark Current State
Before optimization, measure baseline metrics:
# Total size and count
du -sh public/images/
find public/images -type f \( -name "*.png" -o -name "*.jpg" -o -name "*.jpeg" \) | wc -l
# Size by format
find public/images -name "*.png" -exec du -ch {} + | tail -1
find public/images \( -name "*.jpg" -o -name "*.jpeg" \) -exec du -ch {} + | tail -1
# Top 20 largest files
find public/images -type f \( -name "*.png" -o -name "*.jpg" \) -exec ls -la {} \; | \
awk '{print $5, $9}' | sort -rn | head -20 | \
awk '{printf "%6.1fMB %s\n", $1/1048576, $2}'2. Test on Single Image
Always test optimization settings on one image first:
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.ts --file=public/images/largest-image.png --dry-run3. Run Full Optimization
After verifying settings work well:
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.ts4. Verify Results
# Compare before/after
du -sh public/images/
# Visually inspect optimized images
# Run production build
bun run buildOptimization Settings
PNG Optimization
Sharp's PNG encoder with palette mode for maximum compression:
sharp(filePath)
.png({
quality: 80, // 1-100, lower = smaller
compressionLevel: 9, // 0-9, higher = more compression
adaptiveFiltering: true,
palette: true, // Use palette for smaller files
})
.toBuffer();Recommended settings:
- Screenshots: quality 80, compression 9
- Photos: quality 85, compression 9
- Icons/logos: quality 90, compression 9 (preserve crispness)
JPEG Optimization
Sharp with mozjpeg for superior compression:
sharp(filePath)
.jpeg({
quality: 80, // 1-100, lower = smaller
mozjpeg: true, // Use mozjpeg encoder
})
.toBuffer();Recommended settings:
- Photos: quality 75-80
- Screenshots: quality 80-85
- Hero images: quality 85
The Optimization Script
Copy scripts/optimize-images.ts to the project's scripts directory. The script:
- Recursively finds all PNG/JPEG images
- Applies compression settings
- Overwrites originals (only if smaller)
- Reports savings per file
- Shows total savings summary
Script Usage
# Dry run (see what would happen)
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.ts --dry-run
# Test single file
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.ts --file=path/to/image.png
# Full optimization
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.tsExpected Savings
Typical results for unoptimized web images:
| Image Type | Typical Savings |
|---|---|
| Screenshots (PNG) | 40-60% |
| Photos (JPEG) | 20-40% |
| Watercolors (PNG) | 30-50% |
| Icons (PNG) | 10-30% |
Next.js Considerations
Next.js provides automatic image optimization via next/image. However, optimizing source images still helps:
- Faster builds - Smaller source images = faster processing
- Fallback support - Non-Next.js imports still benefit
- Reduced storage - Smaller repo size
- CDN efficiency - Less data to cache/serve
Keep source images optimized even when using next/image.
Workflow Integration
Pre-commit Hook (Optional)
Add to .husky/pre-commit or git hooks:
# Warn if large images are being committed
find public/images -name "*.png" -size +500k -exec echo "Warning: Large image: {}" \;CI/CD Check
Add to build pipeline:
# Fail if images exceed threshold
MAX_SIZE=79 # MB
CURRENT=$(du -sm public/images | cut -f1)
if [ "$CURRENT" -gt "$MAX_SIZE" ]; then
echo "Error: Images exceed ${MAX_SIZE}MB (currently ${CURRENT}MB)"
exit 1
fiTroubleshooting
Image Quality Too Low
Increase quality settings:
- PNG: Increase
qualityto 85-90 - JPEG: Increase
qualityto 85-90
Transparent PNGs Look Wrong
Ensure palette: true handles transparency correctly. For complex transparency, use:
.png({ quality: 85, palette: false })Sharp Installation Issues
On macOS, ensure libvips is available:
brew install vipsOr let sharp download pre-built binaries:
npm rebuild sharpAdditional Resources
Reference Files
references/optimization-guide.md- Detailed compression algorithms and format comparisonreferences/sharp-api.md- Complete sharp API reference for images
Scripts
scripts/optimize-images.ts- Production-ready optimization script
Context Discipline
Do not read optimized images back into context. The script outputs a summary table with file sizes, savings percentages, and totals. Ask the user to visually inspect results if quality verification is needed. Even optimized images can be large enough to fill the context window when processing many files.
Summary
- Install sharp:
bun add -d sharp - Copy optimization script to project
- Benchmark:
du -sh public/images/ - Test:
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.ts --dry-run - Optimize:
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/optimize-images/scripts/optimize-images.ts - Verify: Check sizes and visual quality
- Commit: Include optimized images in deployment
Installationen
Sicherheitsprüfung
Quellcode ansehen
b-open-io/gemskills
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So verwenden Sie diesen Skill
Install optimize-images by running npx skills add b-open-io/gemskills --skill optimize-images in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für optimize-images, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.
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