Image Enhancer
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
npx degit LangbaseInc/agent-skills/image-enhancer my-image-enhancer
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name: image-enhancer
description: Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
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1. Quality Analysis
Analyzes current image quality metrics
2. Intelligent Upscaling
Increases resolution while maintaining detail
3. Sharpness Enhancement
Sharpens edges and improves clarity
4. Artifact Removal
Removes compression artifacts and noise
5. Custom Enhancement
Tailors improvements based on intended use case
- Blog posts & documentation - Enhance screenshots for clarity
- Social media - Prepare images for various platforms
- Presentations - Ready visuals for professional reports
- Upscaling - Improve low-resolution content
- Photo correction - Fix blurry photographs
- Compression cleanup - Clean compressed images
Basic Enhancement
"Improve the image quality of screenshot.png"
Targeted Upscaling
"Upscale this image to 4K resolution"
Batch Processing
"Improve the quality of all PNG files in this directory"
- Original Preservation - Keeps backups of original files
- Screenshot Optimized - Works best with digital screenshots
- Batch Processing - Handle entire folders at once
- Format Flexibility - Accepts output format specifications
- Platform-ready - Optimizes for different distribution channels
The skill works optimally with:
- Digital screenshots
- Text-heavy images
- Interface captures
- Diagram and flowchart images
- Product screenshots
- Tutorial visuals
Inspired by professional workflow methodologies for screenshot preparation in:
- Professional communications
- Documentation systems
- Marketing materials
- Social media content
- Blog and article illustrations
- Always preserve originals as backups
- Specify target resolution for best results
- Use batch processing for consistent quality across image sets
- Specify output formats based on intended platform
- Test enhanced images in their target context