# algorithmic-art

> Use this tool when you need to generate unique, procedurally created art pieces using p5.js, solving problems of creative visualization and artistic expression. It takes in parameters such as seed values and outputs visually striking, algorithmically generated artworks. Ideal for use cases requiring dynamic, non-deterministic graphics, such as interactive installations or digital exhibitions.

Canonical page: https://skillsregistry.net/skills/seanphan-algorithmic-art  
JSON: https://api.skillsregistry.net/v1/skills/seanphan-algorithmic-art

## Description

Creating algorithmic art using p5.js with seeded randomness.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-08-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/seanphan-algorithmic-art)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "seanphan-algorithmic-art"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seanphan-algorithmic-art` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seanphan-algorithmic-art/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt