image-enhancer
Improves the quality of images, especially screenshots, by enhancing
Best use case
image-enhancer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Improves the quality of images, especially screenshots, by enhancing
Teams using image-enhancer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/image-enhancer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How image-enhancer Compares
| Feature / Agent | image-enhancer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Improves the quality of images, especially screenshots, by enhancing
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Image Enhancer This skill takes your images and screenshots and makes them look better—sharper, clearer, and more professional. ## When to Use This Skill - Improving screenshot quality for blog posts or documentation - Enhancing images before sharing on social media - Preparing images for presentations or reports - Upscaling low-resolution images - Sharpening blurry photos - Cleaning up compressed images ## What This Skill Does 1. **Analyzes Image Quality**: Checks resolution, sharpness, and compression artifacts 2. **Enhances Resolution**: Upscales images intelligently 3. **Improves Sharpness**: Enhances edges and details 4. **Reduces Artifacts**: Cleans up compression artifacts and noise 5. **Optimizes for Use Case**: Adjusts based on intended use (web, print, social media) ## How to Use ### Basic Enhancement ``` Improve the image quality of screenshot.png ``` ``` Enhance all images in this folder ``` ### Specific Improvements ``` Upscale this image to 4K resolution ``` ``` Sharpen this blurry screenshot ``` ``` Reduce compression artifacts in this image ``` ### Batch Processing ``` Improve the quality of all PNG files in this directory ``` ## Example **User**: "Improve the image quality of screenshot-2024.png" **Output**: ``` Analyzing screenshot-2024.png... Current specs: - Resolution: 1920x1080 - Format: PNG - Quality: Good, but slight blur Enhancements applied: ✓ Upscaled to 2560x1440 (retina) ✓ Sharpened edges ✓ Enhanced text clarity ✓ Optimized file size Saved as: screenshot-2024-enhanced.png Original preserved as: screenshot-2024-original.png ``` **Inspired by:** Lenny Rachitsky's workflow from his newsletter - used for screenshots in his articles ## Tips - Always keeps original files as backup - Works best with screenshots and digital images - Can batch process entire folders - Specify output format if needed (PNG for quality, JPG for smaller size) - For social media, mention the platform for optimal sizing ## Common Use Cases - **Blog Posts**: Enhance screenshots before publishing - **Documentation**: Make UI screenshots crystal clear - **Social Media**: Optimize images for Twitter, LinkedIn, Instagram - **Presentations**: Upscale images for large screens - **Print Materials**: Increase resolution for physical media ## Scientific Skill Interleaving This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem: ### Visualization - **matplotlib** [○] via bicomodule - Hub for all visualization ### Bibliography References - `general`: 734 citations in bib.duckdb ## Cat# Integration This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure: ``` Trit: 0 (ERGODIC) Home: Prof Poly Op: ⊗ Kan Role: Adj Color: #26D826 ``` ### GF(3) Naturality The skill participates in triads satisfying: ``` (-1) + (0) + (+1) ≡ 0 (mod 3) ``` This ensures compositional coherence in the Cat# equipment structure.
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