This one's for when you need algorithmically sound color matching across photo collections, not just eyeballing hex codes. It brings perceptual color spaces (LAB, LCH, OKLCH) and earth-mover distance optimization to collage assembly and palette harmony work. You get warm/cool alternation patterns, diversity penalties so your selection doesn't end up all blue, and hue-sorted sequencing with actual color science backing it. The implementation guide targets sub-10-second assembly for 100-photo collages using Sinkhorn algorithms and MMR selection. If you're building tools that arrange images by color compatibility or need palette-driven photo curation, this handles the math you'd otherwise spend a week researching on optimal transport papers.
npx skills add https://github.com/erichowens/some_claude_skills --skill color-theory-palette-harmony-expert