Chatgpt-skills image-enhancement-suite

Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.

install

source · Clone the upstream repo

git clone https://github.com/dkyazzentwatwa/chatgpt-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/dkyazzentwatwa/chatgpt-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/image-enhancement-suite" ~/.claude/skills/dkyazzentwatwa-chatgpt-skills-image-enhancement-suite && rm -rf "$T"

manifest: image-enhancement-suite/SKILL.md

source content

Image Enhancement Suite

Use this as the primary image toolkit. It now includes the repo's background removal, metadata, comparison, filter, palette, icon, collage, and sprite helpers.

Use This For

Resize, crop, watermark, compress, and format conversion
Background removal and quick cleanup
Image comparisons and metadata inspection
Palette extraction, icon generation, collages, and sprite sheet assembly

Workflow

Start with
```
scripts/image_enhancer.py
```
for general-purpose image work.

Use focused helpers when the task is narrow:

```
background_remover.py
```
```
image_comparison.py
```
```
image_metadata.py
```
```
image_filter.py
```
```
color_palette_extractor.py
```
```
icon_generator.py
```
```
collage_maker.py
```
```
sprite_sheet_generator.py
```

Prefer batch operations only when the same transforms should be applied consistently.

Guardrails

Preserve originals when quality tradeoffs are uncertain.
Say when a background removal or smart crop is heuristic, not exact.
Use vector output or SVG-oriented tooling when the request is really illustration, not raster editing.