From asi
Generates deterministic wide-gamut LCH colors from seeds in Julia using Pigeons.jl and SplitMix64 RNG. Supports GF(3) trits, palettes, and LispSyntax colorization for code.
npx claudepluginhub plurigrid/asi --plugin asiThis skill uses the workspace's default tool permissions.
Wide-gamut color sampling with splittable determinism using Pigeons.jl SPI pattern and LispSyntax integration.
Generates deterministic colors, palettes, and fingerprints from seeds using Gay.jl in Julia. Supports trit classification and SPI invariance for reproducible scientific visualizations like molecular graphs and UMAP plots.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Share bugs, ideas, or general feedback.
Wide-gamut color sampling with splittable determinism using Pigeons.jl SPI pattern and LispSyntax integration.
"We are building cognitive infrastructure for the next trillion minds" — Plurigrid: the story thus far
Author: @bmorphism (Barton Rhodes)
Gay.jl embodies the Plurigrid principle of autopoietic ergodicity — self-sustaining systems that explore all accessible states. The deterministic color generation from seeds mirrors the broader pattern of reproducible, verifiable computation across distributed systems.
Related bmorphism projects:
# Deterministic color from seed
using Gay
seed = 0x598F318E2B9E884
color = gay_color(seed) # Returns LCH color
trit = gf3_trit(seed) # Returns :MINUS, :ERGODIC, or :PLUS
Every color operation preserves the tripartite balance:
Sum of trits across parallel streams must equal 0 (mod 3).
using LispSyntax
# S-expression colorization
sexp = @lisp (defun factorial (n) (if (<= n 1) 1 (* n (factorial (- n 1)))))
colored = colorize(sexp, seed=seed)
# MCP tool registration with deterministic colors
using Gay, MCP
tool = MCPTool("color-palette", seed=0x1069)
palette = generate_palette(tool, n=5)
# Verify GF(3) conservation across parallel execution
using Gay, SPI
streams = trifurcate(seed, [:task1, :task2, :task3])
verify_conservation(streams) # Asserts sum(trits) ≡ 0 (mod 3)
# Interleave three color streams
using Gay, TriadInterleave
schedule = interleave(
minus_stream(seed),
ergodic_stream(seed),
plus_stream(seed)
)
| Function | Description |
|---|---|
gay_color(seed) | Generate LCH color from seed |
gf3_trit(seed) | Extract GF(3) trit assignment |
splitmix64(state) | Advance RNG state |
colorize(sexp, seed) | Color S-expression nodes |
palette(seed, n) | Generate n-color palette |
From julia-scientific skill - related Julia packages:
| Package | Category | Use with Gay.jl |
|---|---|---|
| Catlab.jl | ACSets | Colored schema parts |
| AlgebraicRewriting.jl | Rewriting | Colored rule application |
| StructuredDecompositions.jl | Sheaves | Colored adhesions |
| GraphNeuralNetworks.jl | ML | Node/edge coloring |
| Makie.jl | Visualization | Deterministic plot colors |
| Graphs.jl | Networks | Colored graph analysis |
| Flux.jl | Deep Learning | Layer coloring for debug |
# Protein structure coloring
using Gay, BioStructures
pdb = read("1CRN.pdb", PDB)
chain_colors = Gay.palette(seed, nchains(pdb))
visualize_structure(pdb, colors=chain_colors)
# Quantum circuit coloring
using Gay, Yao
circuit = chain(4, put(1=>H), control(1, 2=>X))
gate_colors = [Gay.color_at(seed, i) for i in 1:length(circuit)]
# Graph neural network visualization
using Gay, GraphNeuralNetworks, GraphMakie
node_colors = Gay.palette(seed, nv(graph))
graphplot(graph, node_color=node_colors)
gay-mcp - MCP server with Gay.jl colorsspi-parallel-verify - Strong Parallelism Invariance verificationtriad-interleave - Three-stream schedulingbisimulation-game - GF(3) conservation in game semanticsjulia-scientific - Full Julia package mapping (137 skills)This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
general: 734 citations in bib.duckdbThis skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.