What programming languages are supported by this MCP server?

The Gay-MCP skill provides direct integration for Julia through the Gay.jl package and Ruby via the SplitMixTernary library.

Can this skill be used for parallel processing?

Yes, it supports generator splitting, allowing you to create independent child generators that produce predictable results in parallel without inter-process communication.

How are colors mapped to GF(3) trits?

Colors are categorized by their hue values: warm hues (0-60°, 300-360°) map to +1, neutral hues (60-180°) map to 0, and cold hues (180-300°) map to -1.

What makes Gay-MCP color generation deterministic?

Gay-MCP uses the SplitMix64 PRNG algorithm with a fixed seed and the golden angle, ensuring that the same seed and index always yield the exact same color output across different environments.

Gay-MCP Deterministic Color System

Name: Gay-MCP Deterministic Color System
Author: plurigrid

byplurigrid

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デザインツール

Generates mathematically deterministic color palettes and GF(3) trits using SplitMix64 for perfectly reproducible design systems.

Gay-MCP is a specialized tool for developers needing rigorous, reproducible color generation across distributed or parallel systems. By leveraging the SplitMix64 algorithm and the golden angle, it ensures that any given seed produces the exact same sequence of colors and trits (-1, 0, +1) regardless of the execution environment. This skill integrates Gay.jl (Julia) and SplitMixTernary (Ruby) implementations, allowing Claude to manage complex color palettes, perform out-of-order mathematical proofs, and maintain state-consistent visual identities in advanced computational design workflows.

主な機能

01Deterministic color generation via SplitMix64 and golden angle algorithms

02Parallel-ready seed splitting to create independent yet consistent child generators

03Cross-platform support via Julia (Gay.jl) and Ruby (SplitMixTernary) implementations

042 GitHub stars

05GF(3) trit mapping for categorizing colors into warm (+1), neutral (0), and cold (-1) states

06Mathematical out-of-order proofs to verify consistency across shuffled or reversed indices

ユースケース

01Mapping complex mathematical states to deterministic color values in data visualization

02Developing reproducible design systems where a single seed serves as the source of truth

03Generating consistent visual identities across decentralized or parallel rendering nodes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi gay-mcp

For use in Claude.ai and ChatGPT

Download Skill