image-enhancer

Improves the quality of images, especially screenshots, by enhancing

16 stars

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

$curl -o ~/.claude/skills/image-enhancer/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/image-enhancer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/image-enhancer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How image-enhancer Compares

Feature / Agentimage-enhancerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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