Monte Carlo Physics Simulator Skill
SkillDev toolsMonte Carlo simulation skill for statistical physics, particle transport, and stochastic processes
Use Monte Carlo Physics Simulator Skill in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Monte Carlo Physics Simulator Skill and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Monte Carlo Physics Simulator Skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/monte-carlo-physics-simulator/SKILL.md and read by Ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
monte-carlo-physics-simulator- Source
- github.com/a5c-ai/babysitter