genart

# 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