Agent skill · design visual · onewave-ai
color-palette-extractor
Extract color palettes from images, websites, or designs. Identifies dominant colors, generates complementary schemes, and exports in multiple formats (HEX, RGB, HSL, Tailwind, CSS variables). Use when users need color schemes from images, brand colors, or design system palettes.
Why this skill is useful
Adds executable scripts for color extraction and accessibility checks that aren't commonly available in public tools.
What it needs
Requires numpy, python, scikit-learn installed locally. About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
Color Palette Extractor Extract and generate accessible color palettes from images, websites, and designs. Contents references/output-template.md — full report structure for presenting a palette references/export-formats.md — CSS, Tailwind, SCSS, JSON, iOS, Android snippets references/color-theory.md — harmony schemes, accessibility, extraction best practices Workflow 1. Identify the source: image file (PNG, JPG, SVG), website URL, screenshot, design mockup, or an existing color code to build from. 2. Extract colors. From an image: analyze pixel data, identify dominant colors, group similar shades, calculate frequency, and sort by prominence. From a website: fetch and parse the CSS, extract color values, and identify brand, accent, text, and background colors. Cluster with K-means; extract 5-10 dominant colors. Ignore near-white and near-black unless significant. 3. Build the primary palette (5-10 colors): most dominant color, 2-3 supporting colors, 1-2 accents, a background, and a text color. Generate an extended palette with tints, shades, tones, and 50-950 numeric scales. See references/color-theory.md. 4. Run color harmony analysis to produce complementary, analogous, triadic, split-complementary, tetradic, and monochromatic schemes. See references/color-theory.md. 5. Check accessibility: compute WCAG 2.1 contrast ratios for each text/background pairing and test against protanopia, deuteranopia, and tritanopia. Recommend accessible alternatives where a pairing fails. See references/color-theory.md. 6. Format the report following references/output-template.md, and export to the requested formats using references/export-formats.md. Output Requirements Deliver palettes that have clear dominant colors, sufficient variations, semantic naming, harmony schemes, contrast ratios that pass accessibility checks, usage guidelines, and exports in multiple formats. Produce professional, accessible palettes ready for immediate use in design systems. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/color-palette-extractor