Plurigrid ASI Integrated Skill

Synthesizes all loaded skills into a coherent system for Plurigrid Artificial Superintelligence skill orchestration.

Skill Lattice

                    ┌─────────────────┐
                    │  glass-bead-game │
                    │  (synthesis)     │
                    └────────┬────────┘
                             │
         ┌───────────────────┼───────────────────┐
         │                   │                   │
┌────────▼────────┐ ┌────────▼────────┐ ┌────────▼────────┐
│  world-hopping  │ │  bisimulation   │ │  triad-interleave│
│  (navigation)   │ │  (dispersal)    │ │  (scheduling)    │
└────────┬────────┘ └────────┬────────┘ └────────┬────────┘
         │                   │                   │
         └───────────────────┼───────────────────┘
                             │
                    ┌────────▼────────┐
                    │     gay-mcp      │
                    │  (deterministic  │
                    │   coloring)      │
                    └────────┬────────┘
                             │
                    ┌────────▼────────┐
                    │     acsets       │
                    │  (data model)    │
                    └─────────────────┘

Unified Protocol

1. Schema (ACSets)

@present SchASIWorld(FreeSchema) begin
  World::Ob
  Skill::Ob
  Agent::Ob
  
  source::Hom(World, World)
  target::Hom(World, World)
  
  has_skill::Hom(Agent, Skill)
  inhabits::Hom(Agent, World)
  
  Seed::AttrType
  Trit::AttrType
  
  seed::Attr(World, Seed)
  color_trit::Attr(Skill, Trit)
end

2. Color Generation (Gay-MCP)

from gay import SplitMixTernary, TripartiteStreams

def color_world(world_seed: int, skill_index: int) -> dict:
    gen = SplitMixTernary(world_seed)
    return gen.color_at(skill_index)

3. World Navigation (World-Hopping)

def hop_between_worlds(w1, w2, event_name: str):
    distance = world_distance(w1, w2)
    if valid_hop(w1, w2):
        event = Event(site=["skill"], name=event_name)
        return event.execute(w1)
    return None

4. Skill Dispersal (Bisimulation)

async def disperse_skill(skill_path: str, agents: list):
    game = BisimulationGame()
    for i, agent in enumerate(agents):
        trit = (i % 3) - 1  # GF(3) balanced
        game.attacker_move(agent, skill_path, trit)
        game.defender_respond(await agent.receive(skill_path))
    return game.arbiter_verify()

5. Parallel Execution (Triad Interleave)

def schedule_skill_updates(seed: int, n_agents: int):
    interleaver = TriadInterleaver(seed)
    schedule = interleaver.interleave(
        n_triplets=n_agents // 3,
        policy="gf3_balanced"
    )
    return schedule

6. Synthesis (Glass Bead Game)

def synthesize_skills(*skills):
    game = GlassBeadGame()
    for skill in skills:
        game.add_bead(skill.name, skill.domain)
    
    # Connect skills via morphisms
    game.connect("acsets", "gay-mcp", via="seed_to_color")
    game.connect("gay-mcp", "triad-interleave", via="color_stream")
    game.connect("triad-interleave", "bisimulation", via="schedule")
    game.connect("bisimulation", "world-hopping", via="dispersal")
    
    return game.score()

~/worlds Letter Index

GF(3) Conservation Law

All operations preserve:

∑ trits ≡ 0 (mod 3)

Across:

• World hops (Attacker -1, Defender +1, Arbiter 0)
• Color triplets (MINUS, ERGODIC, PLUS)
• Schedule entries (balanced per triplet)
• Skill dispersal (agent assignments)

Commands

# Generate integrated schedule
just asi-schedule 0x42D 10

# Disperse skills to all agents
just asi-disperse ~/.claude/skills/

# Verify GF(3) conservation
just asi-verify

# Play glass bead synthesis
just asi-synthesize a b p t

# World hop between letters
just asi-hop a t

Directory Tree

plurigrid/asi/
├── package.json
├── bin/cli.js
├── README.md
└── skills/
    ├── a/SKILL.md     # AlgebraicJulia
    ├── b/SKILL.md     # topos-labs
    ├── c/SKILL.md     # cognitect
    ├── d/SKILL.md     # claykind
    ├── e/SKILL.md     # infinity-cosmos
    ├── f/SKILL.md     # clojure-site
    ├── g/SKILL.md     # archiver-bot
    ├── h/SKILL.md     # gdlog
    ├── i/SKILL.md     # InverterNetwork
    ├── k/SKILL.md     # kubeflow
    ├── l/SKILL.md     # pretty-bugs
    ├── m/SKILL.md     # awesome-category-theory
    ├── n/SKILL.md     # nlab-content
    ├── o/SKILL.md     # oeis, rubato-composer
    ├── p/SKILL.md     # plurigrid (primary)
    ├── q/SKILL.md     # quadrat
    ├── r/SKILL.md     # rzk
    ├── s/SKILL.md     # mathematicians
    ├── t/SKILL.md     # CatColab
    ├── v/SKILL.md     # viro
    └── _integrated/   # Plurigrid ASI unified skill
        └── SKILL.md

Recent AMP Thread Integration

Last integration: plurigrid-asi-20251224184534

• Attacker (MINUS): dabe5fc2-* (33 invocations)
• Arbiter (ERGODIC): c6e1294a-* (133 invocations)
• Defender (PLUS): 9b24821d-* (1 invocation)
• GF(3) Sum: 0 ✓ Conserved

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

• networkx [○] via bicomodule
  • Universal graph hub

Bibliography References

• general: 734 citations in bib.duckdb

Cat# Integration

This 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

GF(3) Naturality

The skill participates in triads satisfying:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.