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SKILL verified Apache-2.0 Self-run

Algorithmic Art

skill-evolvingagentslabs-skillos-algorithmic-art · by EvolvingAgentsLabs

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.

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Install

$ agentstack add skill-evolvingagentslabs-skillos-algorithmic-art

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Algorithmic Art Skill

Creates gallery-quality computational art through a two-step process:

  1. Algorithmic Philosophy Creation — Define a generative aesthetic movement (.md)
  2. p5.js Implementation — Express it as interactive generative art (.html + .js)

Features

  • Seeded randomness (Art Blocks pattern) for reproducible variations
  • Interactive parameter controls (sliders, color pickers)
  • Seed navigation (prev/next/random/jump)
  • Self-contained HTML artifacts (works in any browser)
  • Anthropic-branded viewer template

Templates

  • templates/viewer.html — Required starting point for all HTML artifacts
  • templates/generator_template.js — Reference for p5.js best practices

Usage

skillos execute: "Create algorithmic art inspired by ocean waves"
skillos execute: "Generate a flow field visualization"
skillos execute: "Create generative art with particle systems"

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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