What are GF(3) trits in the context of color?

The skill maps hue ranges to a ternary system where warm colors are +1 (Plus), neutral are 0 (Ergodic), and cold are -1 (Minus), allowing for mathematical balancing of color streams.

What does 'deterministic color generation' mean?

It means that providing the same seed value to the algorithm will always result in the exact same color or palette, ensuring consistency across different machines or sessions.

How does Gay-MCP support parallel computation?

The skill includes a 'split' function that creates independent child generators from a parent seed, allowing multiple processes to generate unique but reproducible streams of data.

Which programming environments is this skill compatible with?

Gay-MCP integrates specifically with Gay.jl in Julia and SplitMixTernary in Ruby via the Model Context Protocol (MCP).

Gay-MCP Deterministic Color Generator

Name: Gay-MCP Deterministic Color Generator
Author: plurigrid

byplurigrid

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デザインツール

Generates consistent, deterministic color palettes and GF(3) trits using SplitMix64 and golden angle algorithms.

Gay-MCP is a specialized integration for Claude that enables deterministic color generation through the SplitMix64 algorithm and golden angle spirals. By ensuring that the same seed always produces the same output, it facilitates parallel computation and perfect reproducibility across different environments. The skill maps colors to GF(3) trits (-1, 0, +1), making it an essential tool for systems requiring mathematical consistency in visual representation, seed chaining, and out-of-order processing proofs. It is built upon Gay.jl for Julia and SplitMixTernary for Ruby, providing a robust framework for algorithmic design.

主な機能

01Golden angle spiral algorithms for aesthetically balanced palettes

027 GitHub stars

03Parallel-ready generator splitting for independent child processes

04GF(3) trit mapping (Plus/Ergodic/Minus) for mathematical conservation

05Out-of-order processing verification to ensure mathematical consistency

06Deterministic color output via SplitMix64 seed-based generation

ユースケース

01Creating reproducible UI color schemes across distributed frontend systems

02Generating consistent visual assets for procedural game development

03Implementing mathematical proofs for non-sequential data processing

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