lammps-md-executor
LAMMPS molecular dynamics skill for nanoscale system simulation with force field management
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/lammps-md-executor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How lammps-md-executor Compares
| Feature / Agent | lammps-md-executor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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"
}
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