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
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