monte-carlo-physics-simulator
// Monte Carlo simulation skill for statistical physics, particle transport, and stochastic processes
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namemonte-carlo-physics-simulator
descriptionMonte Carlo simulation skill for statistical physics, particle transport, and stochastic processes
allowed-toolsRead,Write,Glob,Grep,Edit,WebFetch,WebSearch,Bash
metadata[object Object]
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