Is Gay-MCP suitable for parallel computing applications?

Absolutely. The implementation supports 'splitting' generators, which creates independent child generators that remain deterministic, making it ideal for multi-threaded simulations.

Can I use these colors in standard web projects?

Yes, Gay-MCP provides built-in tools to convert mathematical OkLCH values into standard #RRGGBB hex strings for use in CSS and HTML.

How does the GF(3) trit mapping work?

Every generated hue is mapped to a tripartite value: -1 (cold/minus), 0 (neutral/ergodic), or +1 (warm/plus). This allows colors to represent logical states in a ternary system.

What makes this color generation 'deterministic'?

It utilizes the SplitMix64 PRNG algorithm combined with the golden angle. Given the same seed and index, the system will always return the exact same color and trit value, regardless of the environment.

Gay-MCP: Deterministic Color & Trit Generation

Name: Gay-MCP: Deterministic Color & Trit Generation
Author: plurigrid

byplurigrid

•

设计工具

Generates deterministic, mathematically-verifiable color palettes and trits using SplitMix64 and GF(3) constraints.

Gay-MCP is a specialized capability for Claude Code that enables reproducible, coordinate-based color generation for design systems and computational modeling. By mapping the Golden Angle and SplitMix64 PRNG to the OkLCH color space, it provides a 'Single Point of Instance' (SPI) guarantee where the same seed consistently produces the same perceptual output. This skill is essential for developers working on parallelizable UI rendering, cryptographic color-coding, or scientific visualizations where color represents an underlying formal proof, allowing for perfectly synchronized visuals across distributed systems without shared state.

主要功能

01Integration-ready for Langevin Dynamics and discrete backpropagation audits

022 GitHub stars

03High-fidelity OkLCH to Hex conversion for modern CSS/web styling

04Parallel-safe generator splitting for independent, reproducible child streams

05Deterministic color generation via SplitMix64 and Golden Angle spiral

06GF(3) trit mapping ({-1, 0, +1}) derived from perceptual hue

使用场景

01Generating consistent brand palettes across distributed micro-frontends using a shared seed

02Visualizing complex mathematical constraint systems through perceptual color rendering

03Mapping ternary logic states to UI elements for real-time state machine observability

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