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image-enhancement-suite

image-enhancement-suite

github.com/dkyazzentwatwaCreative & media124294 installsUpdated 29w ago
Repository

About image-enhancement-suite

Image Enhancement Suite is a collection of tools for common image editing, inspection, and composition tasks. It combines a general-purpose enhancer with focused helpers for background removal, palettes, icons, collages, and sprite sheets.

Key features

  1. 01Resize, crop, and watermark images
  2. 02Compress and convert formats
  3. 03Remove backgrounds and clean up images
  4. 04Compare images and inspect metadata
  5. 05Extract palettes and create icons, collages, and sprite sheets

Use cases

  1. 01Applying consistent batch transformations
  2. 02Removing image backgrounds
  3. 03Reviewing image differences and metadata
  4. 04Creating icons, collages, or sprite sheets

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill image-enhancement-suite

After installing, type/image-enhancement-suitein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.DS_Store
agents/
openai.yaml
assets/
.DS_Store
scripts/
background_remover.py
collage_maker.py
color_palette_extractor.py
icon_generator.py
image_comparison.py
image_enhancer.py
image_filter.py
image_metadata.py
requirements.txt
sprite_sheet_generator.py

Details

From the project README

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.

Comments

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