Asi nuclear-smr

Name: nuclear-smr
Author: plurigrid

Nuclear SMR Skill

install

source · Clone the upstream repo

git clone https://github.com/plurigrid/asi

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/plurigrid/asi "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/nuclear-smr" ~/.claude/skills/plurigrid-asi-nuclear-smr && rm -rf "$T"

manifest: skills/nuclear-smr/SKILL.md

source content

Nuclear SMR Skill

Trit: +1 (GENERATOR)

Overview

Small Modular Reactor integration for Plurigrid energy dominance. Bridges neutronics simulation (OpenMC/MOOSE), categorical databases (ACSets), and on-chain coordination (Aptos).

When to Use

SMR simulation and safety analysis
Mesh generation for finite element multiphysics
Monte Carlo neutronics with deterministic coloring
Grid dispatch optimization for hybrid energy systems

Plurigrid SMR Dominance Stack

┌─────────────────────────────────────────────────────────────────────────┐
│                    LAYER 1: SIMULATION                                   │
├─────────────────────────────────────────────────────────────────────────┤
│  idaholab/moose (1.7K⭐) → Finite element multiphysics                  │
│  openmc-dev/openmc (931⭐) → Monte Carlo neutronics                     │
│  stellarmesh (66⭐) → Mesh generation for FEM                           │
│  ↓                                                                       │
├─────────────────────────────────────────────────────────────────────────┤
│                    LAYER 2: CATEGORICAL DATABASE                         │
├─────────────────────────────────────────────────────────────────────────┤
│  ACSets.jl → Mesh as attributed C-set                                   │
│  StructuredDecompositions.jl → Sheaves on tree decompositions           │
│  DuckDB → Time-travel queries on simulation runs                        │
│  ↓                                                                       │
├─────────────────────────────────────────────────────────────────────────┤
│                    LAYER 3: ON-CHAIN COORDINATION                        │
├─────────────────────────────────────────────────────────────────────────┤
│  society.move → Operator registry, safety attestations                  │
│  multiverse_v3.move → 3 parallel bifurcation slots (MINUS/ERG/PLUS)     │
│  hyperbolic_bulk.move → GF(3) entropy storage                           │
│  ↓                                                                       │
├─────────────────────────────────────────────────────────────────────────┤
│                    LAYER 4: GRID DISPATCH                                │
├─────────────────────────────────────────────────────────────────────────┤
│  idaholab/HERON → Hybrid energy systems optimization                    │
│  Load following: SMR + solar/wind hybrid                                │
│  Microgrids: Developing world remote deployment                         │
└─────────────────────────────────────────────────────────────────────────┘

Key Repositories

Repository	Stars	Purpose	GF(3) Mapping
`idaholab/moose`	1.7K	Multiphysics FEM	+1 Generator
`openmc-dev/openmc`	931	Monte Carlo neutronics	+1 Generator
`stellarmesh`	66	Mesh generation	0 Coordinator
`idaholab/HERON`	-	Hybrid systems	-1 Validator

SMR Advantages for Developing World

Factory-built: Ship assembled, reduce on-site complexity
Passive safety: No external power needed for shutdown (valence = +3)
Load-following: Complement variable renewables
Smaller upfront capital: $1-3B vs $10B+ for traditional
Co-generation: District heating + desalination

QRI Valence Integration

Grid states mapped to XY model topology for bankable assets:

Grid State	Valence	Vortices	Action
Blackout	-3	many	emergency-withdraw
Brownout	-2	some	gradual-withdraw
Unstable	-1	few	hold-cautious
Balanced	0	none	hold
Surplus	+1	annihilating	hold-growth
Export-ready	+2	none	deposit
Dominant	+3	none	deposit-compound

Commands

# OpenMC simulation with Gay.jl coloring
julia --project=. -e 'using OpenMC, Gay; run_simulation(seed=137508)'

# Mesh → ACSet conversion
julia -e 'using ACSets, StellaMesh; mesh_to_acset(load_mesh("reactor.msh"))'

# Deploy SMR operator registry
aptos move publish --package-dir wev_move_contracts --named-addresses wev=default

# HERON optimization
python -m heron --input smr_hybrid_config.yaml

Related Skills

Skill	Trit	Bridge
`energy-dominance`	+1	Policy framework
`gay-mcp`	+1	Monte Carlo coloring
`acsets`	0	Mesh topology
`goblins`	0	Distributed operators
`aptos-gf3-society`	+1	On-chain safety
`qri-valence`	0	XY model topology
`intent-sink`	-1	Demand absorption

Triad Conservation

nuclear-smr (+1) + acsets (0) + intent-sink (-1) = 0 ✓

References

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.