lammps-md-executor

LAMMPS molecular dynamics skill for nanoscale system simulation with force field management

509 stars

Best use case

lammps-md-executor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

LAMMPS molecular dynamics skill for nanoscale system simulation with force field management

Teams using lammps-md-executor should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/lammps-md-executor/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/lammps-md-executor/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/lammps-md-executor/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How lammps-md-executor Compares

Feature / Agentlammps-md-executorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

LAMMPS molecular dynamics skill for nanoscale system simulation with force field management

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# LAMMPS MD Executor

## Purpose

The LAMMPS MD Executor skill provides molecular dynamics simulation capabilities for nanoscale systems, enabling investigation of structural, mechanical, and thermal properties through classical simulations.

## Capabilities

- Force field selection and parameterization
- System equilibration protocols
- NVT/NPT ensemble simulations
- Trajectory analysis
- Thermal conductivity calculation
- Mechanical property simulation

## Usage Guidelines

### MD Simulation Workflow

1. **System Setup**
   - Build initial configuration
   - Assign force field
   - Minimize energy

2. **Equilibration**
   - NVT temperature equilibration
   - NPT for density
   - Monitor equilibration metrics

3. **Production**
   - Run appropriate ensemble
   - Calculate properties on-the-fly
   - Save trajectories

## Process Integration

- Molecular Dynamics Simulation Workflow
- Multiscale Modeling Integration

## Input Schema

```json
{
  "structure_file": "string",
  "force_field": "string (ReaxFF|MEAM|Tersoff|LJ)",
  "ensemble": "nvt|npt|nve",
  "temperature": "number (K)",
  "pressure": "number (atm, for npt)",
  "timestep": "number (fs)",
  "total_time": "number (ns)"
}
```

## Output Schema

```json
{
  "thermodynamic_properties": {
    "temperature": "number (K)",
    "pressure": "number (atm)",
    "total_energy": "number (eV)",
    "volume": "number (Angstrom^3)"
  },
  "structural_properties": {
    "rdf_file": "string",
    "msd_file": "string"
  },
  "trajectory_file": "string",
  "equilibrated": "boolean"
}
```

Related Skills

pennylane-hybrid-executor

509
from a5c-ai/babysitter

PennyLane integration skill for hybrid quantum-classical machine learning and variational algorithms

braket-executor

509
from a5c-ai/babysitter

Amazon Braket integration skill for multi-vendor quantum hardware access and hybrid workflows

lammps-md-simulator

509
from a5c-ai/babysitter

LAMMPS molecular dynamics simulation skill for atomistic simulations, force field setup, and large-scale parallel computations

vasp-dft-executor

509
from a5c-ai/babysitter

VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials

quantum-espresso-executor

509
from a5c-ai/babysitter

Quantum ESPRESSO calculation skill for DFT simulations with pseudopotential management

gromacs-md-executor

509
from a5c-ai/babysitter

GROMACS molecular dynamics skill for nanoparticle-biomolecule interaction simulations

comsol-multiphysics-executor

509
from a5c-ai/babysitter

COMSOL Multiphysics skill for continuum-scale nanomaterial and device modeling

nextflow-pipeline-executor

509
from a5c-ai/babysitter

Nextflow workflow management skill for reproducible bioinformatics pipelines

kubeflow-pipeline-executor

509
from a5c-ai/babysitter

Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.

jupyter-notebook-executor

509
from a5c-ai/babysitter

Jupyter notebook execution skill for running notebooks programmatically and extracting outputs.

codemod-executor

509
from a5c-ai/babysitter

Execute automated AST-based code transformations for large-scale refactoring and migration

process-builder

509
from a5c-ai/babysitter

Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.

Workflow & Productivity