Algorithmic Art

This one takes a two-step approach to generative art: first you create an "algorithmic philosophy" (basically a manifesto for a computational art movement), then it expresses that philosophy as actual p5.js code with flow fields, particle systems, and noise functions. The philosophy step is deliberately verbose and repeatedly emphasizes that the final algorithm should look meticulously crafted by an expert, which feels a bit over-engineered but makes sense if you want Claude to write sophisticated generative code rather than basic sketches. Good for when you want original algorithmic art with actual computational depth, not just random shapes. Outputs markdown philosophy files plus interactive HTML viewers.

GitHub stars: 6K
last updated: Jun 11, 2026

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Install

$ npx -y skills add thinkinaixyz/deepchat --skill algorithmic-art --agent claude-code

Installs into .claude/skills of the current project.

Files

Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).

This happens in two steps:

Algorithmic Philosophy Creation (.md file)
Express by creating p5.js generative art (.html + .js files)

First, undertake this task:

ALGORITHMIC PHILOSOPHY CREATION

To begin, create an ALGORITHMIC PHILOSOPHY (not static images or templates) that will be interpreted through:

Computational processes, emergent behavior, mathematical beauty
Seeded randomness, noise fields, organic systems
Particles, flows, fields, forces
Parametric variation and controlled chaos

THE CRITICAL UNDERSTANDING

What is received: Some subtle input or instructions by the user to take into account, but use as a foundation; it should not constrain creative freedom.
What is created: An algorithmic philosophy/generative aesthetic movement.
What happens next: The same version receives the philosophy and EXPRESSES IT IN CODE - creating p5.js sketches that are 90% algorithmic generation, 10% essential parameters.

SKILL.md on GitHub