vibeflow-lammps

Generate LAMMPS inputs, data, potentials, dumps, restarts, and post-processing artifacts from caseDict.

12|1|Updated May 19, 2026
One-click install
npx skills add https://github.com/sunrise-hjx/vibeFlow-skills --skill vibeflow-lammps
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vibeflow-lammps
Source: https://github.com/sunrise-hjx/vibeFlow-skills/tree/main/vibeflow-lammps
Command: npx skills add https://github.com/sunrise-hjx/vibeFlow-skills --skill vibeflow-lammps

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

LAMMPS as VibeCAE's backend for molecular dynamics and particle simulations, enabling automated input generation, execution, and post-processing from 0-caseDict/caseDict, with optional custom styles or packages.

Core Features & Use Cases

  • Automated generation of in.case, data.*, potentials, dumps, restarts, and post-processing scripts from caseDict.
  • Development of reusable LAMMPS workflows, templates, Python analysis tools, or custom styles/packages when needed.
  • Use cases include MD and particulate simulations, diffusion, heat transport, and coarse-grained models that require coupling to higher-level CAE workflows.

Quick Start

Generate a minimal LAMMPS workflow from 0-caseDict/caseDict to verify input parsing with a simple LJ system.

Frequently Asked Questions about vibeflow-lammps

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate LAMMPS molecular dynamics workflows from a caseDict?▼

LAMMPS molecular dynamics workflows are automated by generating in.case, data files, potentials, dumps, and restarts directly from a 0-caseDict/caseDict mapping. This process applies to atomic, molecular, coarse-grained, and particulate simulations requiring trajectories and thermodynamics.

Can I generate LAMMPS input files and post-processing scripts automatically?▼

LAMMPS input files and post-processing scripts are generated automatically from your caseDict configuration. The workflow produces in.case, data.*, potentials, dumps, restarts, and post-processing artifacts while recording versioned run metadata.

Does this workflow support custom LAMMPS styles and packages for particle simulations?▼

Custom LAMMPS styles and packages are supported for particle simulations when needed. The workflow accommodates atomic, molecular, coarse-grained, and particulate simulations, allowing optional custom styles or packages to be integrated into the automated run.

What is the best way to run end-to-end LAMMPS simulations with restart capabilities?▼

End-to-end LAMMPS simulations with restart capabilities are run by generating inputs, data, potentials, dumps, and restart files from a caseDict. This approach ensures trajectories and thermodynamics are captured while recording versioned artifacts and run metadata.

How do I set up a minimal LAMMPS workflow to verify caseDict input parsing?▼

A minimal LAMMPS workflow verifies caseDict input parsing by generating a simple LJ system from 0-caseDict/caseDict. This quick start confirms that input generation and execution mapping function correctly before running complex molecular dynamics simulations.

Are there limitations when using LAMMPS for coarse-grained models requiring coupling to higher-level CAE workflows?▼

LAMMPS coarse-grained models requiring coupling to higher-level CAE workflows need references to LAMMPS documentation and scripts for input generation and post-processing. Development of reusable templates, Python analysis tools, or custom styles may be required to handle specialized coupling requirements.