algorithmic-art

Generative art with p5.js uses code-driven algorithms to produce visuals based on constraints, randomness, and aesthetic rules. This Skill provides templates for flow fields, recursion, particles, and Voronoi-like patterns, letting you define parameters and export reproducible results as PNG files.

Algorithmic creative coding applies deliberate design rules, seeds, and constraints rather than pure randomness. This approach produces reproducible, intentional visuals where you control randomness through parameters, enabling consistent results across multiple generations.

Yes. Seed-based algorithmic art captures parameters that let you regenerate identical or similar visuals. This Skill exports both PNG output and parameter sets, enabling reproducibility and iteration without rewriting code.

The Skill provides reusable p5.js templates for common patterns like flow fields and particles, lowering the barrier to entry. You benefit from foundational JavaScript knowledge, but templates abstract away complex implementation details.

Flow fields use vector forces to guide motion; particles follow these forces to create organic, emergent patterns. Recursion and Voronoi cells add structural variety. This Skill includes templates for each pattern, letting you combine them into complex compositions.

Define aesthetic rules (color palettes, shape types, density), randomness bounds (seed ranges, variation limits), and structural constraints (canvas size, recursion depth, particle count). Clear constraints ensure outputs remain visually cohesive while staying generative.