# logic-lab

> Use this tool when you need to discover and explore generative art algorithms, or require inspiration for artistic projects involving physics, fractals, or shaders. The logic-lab server provides read-only access to 303 curated algorithms, allowing searches by keyword, visual mood, or artistic intent, and returns structured summaries and source code snippets. It is ideal for AI agents seeking to generate creative content or understand the implementation of various artistic techniques.

Canonical page: https://skillsregistry.net/skills/asamiile-logic-lab  
JSON: https://api.skillsregistry.net/v1/skills/asamiile-logic-lab

## Description

A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u3hxfhzrio)
- **Repository:** <https://github.com/asamiile/logic-lab>

## 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": "asamiile-logic-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asamiile-logic-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asamiile-logic-lab/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