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Babysitter monte-carlo-physics-simulator

Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/physics/skills/monte-carlo-physics-simulator" ~/.claude/skills/a5c-ai-babysitter-monte-carlo-physics-simulator && rm -rf "$T"
manifest: library/specializations/domains/science/physics/skills/monte-carlo-physics-simulator/SKILL.md
tags
#monte-carlo#statistical-physics#particle-transport#stochastic
source content

Monte Carlo Physics Simulator Skill

Purpose

Provide Monte Carlo simulation capabilities for statistical physics, particle transport, and stochastic processes in physics applications.

Capabilities

  • Metropolis algorithm implementation
  • Wang-Landau sampling
  • Parallel tempering coordination
  • Variance reduction techniques
  • Autocorrelation analysis
  • Error estimation and jackknife/bootstrap

Usage Guidelines

  • Choose appropriate sampling algorithms for the problem
  • Implement variance reduction for rare events
  • Monitor autocorrelation for independent samples
  • Use proper error estimation techniques

Dependencies

  • Custom MC codes
  • OpenMC
  • Geant4

Process Integration

  • Monte Carlo Simulation Implementation
  • Statistical Analysis Pipeline
  • Monte Carlo Event Generation