image-enhancement-suite

$npx mdskill add dkyazzentwatwa/chatgpt-skills/image-enhancement-suite

Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets.

  • Resize, crop, watermark, compress, and convert image formats.
  • Uses scripts like background_remover.py, image_comparison.py, and color_palette_extractor.py.
  • Applies batch operations only when same transforms are needed consistently.
  • Preserves originals when quality tradeoffs are uncertain and reports heuristic results.

SKILL.md

.github/skills/image-enhancement-suiteView on GitHub ↗
---
name: image-enhancement-suite
description: Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.
---

# 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

1. Start with `scripts/image_enhancer.py` for general-purpose image work.
2. 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`
3. 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.

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