algorithmic-art

SkillFeatured

by Anthropic · Added 5mo ago

Claude

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git clone https://github.com/anthropics/skills

Add to Claude

claude mcp add algorithmic-art

About

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:

  1. Algorithmic Philosophy Creation (.md file)
  2. 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.

Consider this approach:

  • Write a manifesto for a generative art movement
  • The next phase involves writing the algorithm that brings it to life

The philosophy must emphasize: Algorithmic expression. Emergent behavior. Computational beauty. Seeded variation.

HOW TO GENERATE AN ALGORITHMIC PHILOSOPHY

Name the movement (1-2 words): "Organic Turbulence" / "Quantum Harmonics" / "Emergent Stillness"

Articulate the philosophy (4-6 paragraphs - concise but complete):

To capture the ALGORITHMIC essence, express how this philosophy manifests through:

  • Computational processes and mathematical relationships?
  • Noise functions and randomness patterns?
  • Particle behaviors and field dynamics?
  • Temporal evolution and system states?
  • Parametric variation and emergent complexity?

CRITICAL GUIDELINES:

  • Avoid redundancy:

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