Modelica-LispSyntax-Interleave Skill

Alphabet-Color MCP Interleaving with OpenModelica Microgrid Gym

Seed: 137508 | Letters: 26 | Workers: 3 (triadic) Trit: 0 (ERGODIC) — bridges symbolic/subsymbolic paradigms

Overview

This skill unifies three systems through alphabet-color assignment:

Alphabet-Color Assignment

Each letter A-Z maps to a deterministic color via

color_at(n, seed=137508)

using Gay

gay_seed!(137508)

# Generate alphabet palette
alphabet = Dict{Char, String}()
for (i, letter) in enumerate('A':'Z')
    color = color_at(i)
    alphabet[letter] = color.hex
end

# Result:
# A => #B0285F, B => #77DEB1, C => #8ADB6E, ...

Triadic Worker Assignment

Three parallel workers process the alphabet with GF(3) conservation:

Worker 1 (MINUS, -1):  A, D, G, J, M, P, S, V, Y     (9 letters)
Worker 2 (ERGODIC, 0): B, E, H, K, N, Q, T, W         (8 letters)
Worker 3 (PLUS, +1):   C, F, I, L, O, R, U, X, Z      (9 letters)

Σ trits = (-1×9) + (0×8) + (+1×9) = -9 + 0 + 9 = 0 ✓

Note: Z assigned to Worker 3 (PLUS) to conserve GF(3). Round-robin 26/3 gives 9/9/8; moving Z from W2→W3 yields 9/8/9 with Σ=0.

MCP Assignment Table

LispSyntax Integration

Rainbow parentheses colored by nesting depth:

using LispSyntax, Gay

gay_seed!(137508)

# Depth-colored S-expression
lisp"""
(A                           ; depth 0: #5BDF75
  (B                         ; depth 1: #B0285F
    (C                       ; depth 2: #77DEB1
      (D                     ; depth 3: #8ADB6E
        (modelica-inverter   ; depth 4: #3A71C0
          :L 2.3e-3
          :R 0.4)))))
"""

# sexpr_colors gives Ising spins per depth
colors = Gay.sexpr_colors(26, seed=137508)
# magnetization ≈ 0 (ground state)

OpenModelica Microgrid Gym

Tension resolution through physical dynamics:

from openmodelica_microgrid_gym import ModelicaEnv
from tension_resolver import AlphabetColorAgent

# Map alphabet colors to control objectives
agent = AlphabetColorAgent(
    seed=137508,
    tensions=[
        ('A', 'temporal', 'atemporal'),      # FMU ↔ steady-state
        ('L', 'symbolic', 'subsymbolic'),    # Modelica ↔ neural
        ('M', 'local', 'global'),            # inverter ↔ grid
    ]
)

env = ModelicaEnv(net='tension_resolver.yaml')

# Each episode resolves tensions through energy flow
for episode in range(100):
    obs = env.reset()
    while not done:
        action = agent.act(obs)  # color-guided control
        obs, reward, done, _ = env.step(action)

PowerSimulationsDynamics.jl

From the hatchery fork with Gay.jl integration:

using PowerSimulationsDynamics, Gay

# Repo's chromatic identity
gay_seed!(0xcf8390e57d8d4afb)
# Repo Color: #1f7339 | Index: 124/1055
# Global Fingerprint: 0xa517f498f95de714

# Enzyme autodiff for gamut learning
using Enzyme
∂params = Enzyme.gradient(Reverse, gamut_loss, params, seed)

Usage

Generate Alphabet Palette

julia -e 'using Gay; gay_seed!(137508);
  for (i,c) in enumerate("A":"Z")
    println("$c: $(color_at(i).hex)")
  end'

Interleave MCPs

using Gay

# 3 workers, 9 colors each = 27 total (covers A-Z + 1 extra)
streams = Gay.interleave(9, n_streams=3, seed=137508)

# Assign to MCPs
mcps = ["gay", "babashka", "comrade", ...]
for (stream_id, colors) in streams
    for (i, color) in enumerate(colors)
        mcp_idx = (stream_id - 1) * 9 + i
        println("$(mcps[mcp_idx]): $(color.hex)")
    end
end

Modelica Tension Resolution

# Run OMG with alphabet-colored control
python tension_resolver.py \
    --seed 137508 \
    --tensions "temporal:A,symbolic:L,local:M"

Mathematical Foundation

Alphabet as Ordered Locale

The 26 letters form an ordered locale with:

A ≪ B ≪ C ≪ ... ≪ Z

where ≪ is the "way-below" relation from domain theory

Color as Bridge Type

Each letter-color pair is an observational bridge:

def LetterBridge (l₁ l₂ : Letter) : Type :=
  Bridge (color l₁) (color l₂)

GF(3) Conservation

The triadic workers ensure:

∀ triple (A,B,C): trit(A) + trit(B) + trit(C) ≡ 0 (mod 3)

Related Skills

• gay-mcp

  (A) — Core color generation

• lispsyntax-acset

  (L) — S-expression ACSets

• omg-tension-resolver

  (O) — Microgrid dynamics

• powersim-dynamics

  (J) — Julia power systems

• glass-hopping

  — World navigation via colors

• lhott-cohesive-linear

  — Modal operators

Emacs Integration

The

modelica-lispsyntax-interleave.el

Setup

(load "/path/to/skills/modelica-lispsyntax-interleave/modelica-lispsyntax-interleave.el")
;; Auto-enables on .mo files; or manually:
(mli-mode 1)

Keybindings (

C-c m

prefix)

C-c m m

mli-hydra/body

hydra

C-c m a

mli-show-alphabet

C-c m i

mli-inspect-component

C-c m r

mli-rainbow-parens-mode

C-c m c

mli-colorize-modelica-buffer

C-c m s

mli-interleave-streams

C-c m g

mli-generate-alphabet

C-c m t

mli-resolve-tension

Features

• Hardcoded seed-137508 palette — works without Julia;

  C-c m g

  refreshes live
• Rainbow parens — depth 0-9 colored from the alphabet palette
• Modelica keyword overlays —

  model

  ,

  connector

  ,

  equation

  ,

  connect

  ,

  parameter

  ,

  Real

  ,

  flow

  ,

  input

  ,

  output

  ,

  extends

  ,

  replaceable

  colored by initial letter
• ASI Agenda integration — adds

  M

  key to

  asi-gay-colors.el

  hydra
• GF(3) verified — 9/8/9 worker partition with Σ trits = 0

Files

skills/modelica-lispsyntax-interleave/
├── SKILL.md                              # This file
├── modelica-lispsyntax-interleave.el     # Emacs minor mode
├── alphabet_colors.jl                    # Julia color generator
├── tension_resolver.py                   # OMG integration
└── interleave.lisp                       # LispSyntax examples

Skill Name: modelica-lispsyntax-interleave Type: Integration / Synthesis Trit: 0 (ERGODIC) Seed: 137508 Letters: 26 (A-Z) Workers: 3 (triadic, GF(3) conserved)

Autopoietic Marginalia

The interaction IS the skill improving itself.

Every use of this skill is an opportunity for worlding:

• MEMORY (-1): Record what was learned
• REMEMBERING (0): Connect patterns to other skills
• WORLDING (+1): Evolve the skill based on use

Add Interaction Exemplars here as the skill is used.