algorithmic-art

Generative art with seeded randomness uses a parameters object and fixed seed to produce deterministic, reusable outputs. This Skill provides a two-step workflow: define your algorithm philosophy in markdown, then implement it in p5.js using modular entity classes and the standard setup/draw lifecycle for static or animated results.

Algorithmic art uses structured logic and seeded randomness to produce reproducible, parameter-driven visuals, whereas pure randomness lacks control and reusability. Seeded randomness ensures the same seed always generates identical output, enabling iterative exploration and sharing of specific generative pieces.

Yes. This Skill delivers interactive HTML viewers alongside generator scripts, allowing you to explore parameter variations in real time. The workflow produces both a philosophy document, an interactive HTML viewer, and JavaScript generator code for static or animated algorithmic outputs.

Organize parameters into a single object and use modular entity-based classes to structure your algorithm. This Skill includes performance optimization patterns and preset templates that scale from simple static art to complex particle systems and flow fields.

This Skill targets code-driven generative work and requires familiarity with p5.js and JavaScript. It provides scaffolds and templates to accelerate development, but assumes you can edit generator scripts and understand the p5.js setup/draw lifecycle.

This Skill delivers three export formats: a philosophy markdown document describing your concept, an interactive HTML viewer for parameter exploration, and reusable JavaScript generator scripts. All assets support deterministic reproduction via seeded randomness.