What problem does it solve? Creating original generative art requires both a coherent aesthetic concept and working code; this Skill bridges that gap by first authoring an algorithmic philosophy and then expressing it as a runnable p5.js artwork. ## Core Features & Use Cases - Algorithmic Philosophy Authoring: Produces a 4-6 paragraph generative art manifesto (.md) that defines the computational aesthetic before any code is written. - Seeded p5.js Generation: Builds algorithms using seeded randomness (randomSeed/noiseSeed) so every seed reproduces identical output, following the Art Blocks pattern. - Interactive HTML Viewer: Outputs a single self-contained HTML artifact built from templates/viewer.html with Anthropic branding, seed navigation (prev/next/random/jump), parameter sliders, and Regenerate/Reset/Download actions. - Use Case: Ask for a flow-field artwork inspired by ocean currents; receive a philosophy document plus an interactive viewer where you explore 100 seed variations and tune particle count, noise scale, and color. ## Quick Start Create an algorithmic art piece about emergent turbulence with an interactive viewer I can open in my browser.