Axiom Color Palette

Color palette extractor — extract dominant colors from an image (PNG/JPEG/GIF). Use when you need a color palette for design or analysis. Pure stdlib, no LLM.

Version: 0.1.2 Axioma Tools

Extracts the dominant color palette from an image using frequency analysis.

What this skill does

• Frequency-based color extraction
• Configurable palette size (3-16 colors)
• Optional K-means clustering
• Outputs hex codes + RGB tuples
• JSON output for design tools

When to use this skill

• ✅ Generate palette for website redesign
• ✅ Find dominant brand colors in an image
• ✅ Analyze color trends in design portfolios
• ❌ Convert color spaces (use colormath)
• ❌ Render images (use Pillow)

Usage

python3 axiom_color_palette.py logo.png --colors 5
python3 axiom_color_palette.py photo.jpg --json > palette.json

from axiom_color_palette import extract_palette
colors = extract_palette('image.png', n_colors=5)
# [('#FF5733', 42), ('#33FF57', 28), ...]

Validation

Check	Status
Unit tests	15+ cases
Performance	<100ms
Security	Pure stdlib, no injection
Determinism	Byte-to-byte stable
License	Apache-2.0

Last updated: 2026-06-14