image-enhancer

Upscale, sharpen, and reduce compression artifacts in image files.

Updated Feb 5, 2026
One-click install
npx skills add https://github.com/syl2042/codex_skills --skill image-enhancer-syl2042
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-enhancer
Source: https://github.com/syl2042/codex_skills/tree/main/image-enhancer
Command: npx skills add https://github.com/syl2042/codex_skills --skill image-enhancer-syl2042

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Improves image quality by upscaling, sharpening, and reducing compression artifacts, saving time on producing clear visuals for documentation, presentations, and social media.

Core Features & Use Cases

  • Image upscaling: intelligently increases resolution while preserving detail.
  • Sharpening and denoise: improves edge clarity and reduces grain.
  • Artifact removal: cleans up compression artifacts for crisper images.
  • Use Case: prepare screenshots for blog posts, product docs, or marketing materials.

Quick Start

Run image-enhancer on your image files to generate enhanced versions.

Frequently Asked Questions about image-enhancer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I upscale and sharpen images for web content?

Image upscaling intelligently increases resolution while preserving detail, and sharpening improves edge clarity. This process outputs high-resolution images ready for web or print, making screenshots and documentation visuals crisp.

What is the best way to remove compression artifacts from screenshots?

Removing compression artifacts from screenshots is best handled by an image enhancement process that cleans up artifacts and reduces noise. This produces crisper images suitable for blog posts, product docs, or marketing materials.

Can I batch process multiple images for quality enhancement?

Yes, you can batch process multiple images for quality enhancement. The tool supports batch-processing to automatically apply upscaling, edge enhancement, and artifact reduction across files, saving time on producing clear visuals.

Does image enhancement work for preparing presentation and social media visuals?

Image enhancement works for preparing presentation and social media visuals by applying automatic upscaling and noise reduction. It generates high-resolution images that ensure crisp imagery across documentation and marketing materials.

How do I reduce noise and grain in low quality images?

To reduce noise and grain in low quality images, apply a denoise and sharpening process. This improves edge clarity while reducing grain, cleaning up compression artifacts to deliver crisper, high-resolution image outputs.