What problem does it solve? Color work is full of misconceptions: HSL lightness is not perceptual, hue-first harmony is a weak heuristic, and most palette tools do not actually generate palettes. This Skill gives an AI agent a curated color science knowledge base so it answers color questions with accurate theory, correct tool recommendations, and practical guidance instead of folk design advice. ## Core Features & Use Cases - Color space guidance: Task-based recommendations for OKLCH, OKLAB, HSLuv, CAM16, CIELAB, and Kubelka-Munk mixing, including gamut mapping and CSS Color 4/5 syntax. - Palette generation and analysis: Recommends real algorithmic tools (RampenSau, Poline, pro-color-harmonies, Culori, Spectral.js) and linting tools like Color Buddy, with explicit warnings against non-generative tools like coolors.co. - Accessibility and naming: WCAG vs APCA contrast statistics, plus eight color naming systems (ISCC-NBS, Munsell, XKCD, Ridgway, and more) for different registers. - Use Case: Ask your agent to build a 9-step accessible accent scale for light and dark mode, and it will use OKLCH, verify APCA/WCAG contrast pairs, and emit semantic design tokens rather than hardcoded hex values. ## Quick Start Ask your agent to generate an accessible OKLCH color ramp for your design system or to explain why a gradient turns gray in the middle.