Can I use Gay-Julia with standard Julia plotting libraries?

Yes, it is designed to work natively with libraries like Makie.jl, GraphMakie.jl, and BioStructures.jl for deterministic scientific plotting and node/edge coloring.

How does Gay-Julia ensure color consistency?

It uses the SplitMix64 algorithm to derive LCH colors from a specific 64-bit seed, ensuring that the same seed always produces the exact same color output regardless of the environment.

What are GF(3) trits used for in this skill?

Trits (assignments of -1, 0, or 1) are used to balance parallel execution streams. This ensures that the sum of operations across tasks remains balanced, facilitating autopoietic ergodicity in complex systems.

Does this skill support Lisp-style syntax?

Yes, it includes specific integration with LispSyntax.jl to provide deterministic colorization for S-expression nodes, which is useful for code analysis and visualization.

Gay-Julia: Deterministic Color Sampling

Name: Gay-Julia: Deterministic Color Sampling
Author: plurigrid

byplurigrid

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Data Science & ML

Generates deterministic, wide-gamut color palettes and GF(3) trit assignments for scientific visualization and UI theming in Julia.

About

Gay-Julia is a specialized skill designed for the Julia programming language that enables wide-gamut color sampling with splittable determinism. Leveraging the Pigeons.jl SPI pattern and SplitMix64 RNG, it allows developers to generate consistent colors and 'trit' assignments—representing contractive, ergodic, or expansive states—across parallel execution streams. This is particularly valuable for scientific simulations, category theory visualizations, and distributed systems where reproducibility and balanced state distribution (GF(3) conservation) are critical. The skill integrates deeply with the Julia scientific ecosystem, providing deterministic color mapping for complex structures like graph neural networks, quantum circuits, and protein models.

Key Features

Conservation law verification across parallel execution streams (Σ trits ≡ 0 mod 3)
Deep integration with Julia packages like Catlab, Makie, Graphs, and Flux
2 GitHub stars
Deterministic LCH color generation from 64-bit seeds using SplitMix64
GF(3) trit extraction for identifying contractive, ergodic, and expansive operations
Automatic S-expression colorization with LispSyntax integration

Use Cases

Generating reproducible UI themes and terminal session colors across distributed environments
Visualizing complex scientific data structures like protein chains or quantum gates with consistent mapping
Implementing balanced state management in parallel computing using GF(3) conservation laws

About

Key Features

Conservation law verification across parallel execution streams (Σ trits ≡ 0 mod 3)
Deep integration with Julia packages like Catlab, Makie, Graphs, and Flux
2 GitHub stars
Deterministic LCH color generation from 64-bit seeds using SplitMix64
GF(3) trit extraction for identifying contractive, ergodic, and expansive operations
Automatic S-expression colorization with LispSyntax integration

Use Cases

Generating reproducible UI themes and terminal session colors across distributed environments
Visualizing complex scientific data structures like protein chains or quantum gates with consistent mapping
Implementing balanced state management in parallel computing using GF(3) conservation laws