npx claudepluginhub plurigrid/asi --plugin asiThis skill uses the workspace's default tool permissions.
**Trit**: +1 (PLUS - generative color computation)
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.
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.
Trit: +1 (PLUS - generative color computation)
Foundation: Gay.jl + SplitMix64 + SPI
Gay.jl provides:
using Gay
# Color at index
color = color_at(seed, index)
# => (r=0.65, g=0.32, b=0.88)
# Palette generation
palette = Gay.palette(seed, 5)
# Trit classification
trit = Gay.trit(color) # => -1, 0, or +1
# XOR fingerprint
fp = Gay.fingerprint(colors)
# Strong Parallelism Invariance
@assert fingerprint(colors_thread1) ⊻ fingerprint(colors_thread2) ==
fingerprint(vcat(colors_thread1, colors_thread2))
using Gay: ErgodicBridge
# Create time-color bridge
bridge = create_bridge(seed, n_colors)
# Verify bidirectionally
verify_bridge(bridge)
# Detect obstructions
obstructions = detect_obstructions(seed, n_samples)
bisimulation-game (-1) ⊗ acsets (0) ⊗ julia-gay (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ bumpus-narratives (0) ⊗ julia-gay (+1) = 0 ✓
spi-parallel-verify (-1) ⊗ triad-interleave (0) ⊗ julia-gay (+1) = 0 ✓
From julia-scientific skill - related Julia packages for color/visualization:
| Package | Use | julia-scientific Category |
|---|---|---|
| Colors.jl | Color types, conversions | Visualization |
| ColorSchemes.jl | Predefined palettes | Visualization |
| Makie.jl | GPU-accelerated vis with color | Visualization |
| CairoMakie.jl | Publication-quality with color | Visualization |
| AlgebraOfGraphics.jl | Grammar-of-graphics + color | Visualization |
| Catlab.jl | ACSets + color labeling | Data Science |
| Gay.jl | Core deterministic colors | Core |
# Molecular visualization with deterministic colors
using Gay, MolecularGraph, CairoMakie
mol = smilestomol("CCO")
atom_colors = [Gay.color_at(seed, i) for i in 1:natoms(mol)]
visualize_molecule(mol, colors=atom_colors)
# Single-cell UMAP with Gay.jl cluster colors
using Gay, SingleCellProjections, CairoMakie
clusters = cluster(adata)
cluster_colors = Gay.palette(seed, n_clusters)
scatter(umap_coords, color=cluster_colors[cluster_labels])
gay-mcp - MCP server for color generationtriad-interleave - 3-stream schedulingworld-hopping - Badiou possible world navigationjulia-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.