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Monte carlo physics simulator

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/monte-carlo-physics-simulator

Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processesFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill monte-carlo-physics-simulator

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.4 KB, 149 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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