GenArt Skill#

Procedural visual art generator using Python. Produces SVG vector art and PNG raster output from algorithmic patterns and mathematical structures.

Algorithms#

Flow Fields#

Perlin noise-based vector fields that guide particle motion, creating organic flowing patterns and fluid-like aesthetics.

Fractals#

Recursive geometric structures: Mandelbrot sets, Julia sets, L-systems, and self-similar branching patterns with configurable depth and parameters.

Cellular Automata#

Conway's Game of Life and variants, generating complex patterns from simple local rules. Produces static snapshots or animated sequences.

Circle Packing#

Algorithm-driven placement of circles in constrained spaces, creating organic compositions with visual balance.

Wave Patterns#

Sinusoidal and superposed wave interference, creating ripple effects, moiré patterns, and harmonic visualizations.

Usage#

bash

genart.py --algorithm flow_field --output art.svg [--params "noise=0.5,scale=10"]
genart.py --algorithm fractal --output mandelbrot.png --width 1024 --height 1024
genart.py --algorithm cellular_automata --output ca.svg --iterations 100
genart.py --algorithm circle_pack --output circles.svg --target-count 200
genart.py --algorithm waves --output waves.png --frequency 5 --amplitude 100

Outputs SVG for scalable vector art or PNG for raster. All fully deterministic and scriptable.

Features#

• Deterministic: Seed-based generation for reproducible art
• Scalable: SVG output scales infinitely without quality loss
• Raster export: PNG rendering for web and print
• Configurable: Every algorithm exposes tunable parameters
• Fast: Optimized Python with optional NumPy acceleration