LAMMPS Router
SkillDev toolsRoute LAMMPS molecular dynamics requests to force-field-specific sub-skills. Use when the user requests LAMMPS with a specific potential type (DeePMD, ReaxFF).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the LAMMPS Router skill
What this skill tells your AI
The instructions your AI receives, as published by hello-qm/catgo-lrg in .claude/skills/lammps/SKILL.md and read by ahel’s review.
Route LAMMPS requests to the appropriate force-field sub-skill.
Routing Table
| User intent | Route to |
|---|---|
| LAMMPS with DeePMD potential / DP model | deepmd/SKILL.md |
| LAMMPS with ReaxFF reactive force field | reaxff/SKILL.md |
| General LAMMPS MD (EAM, Tersoff, LJ) | Use CatGo's built-in MD task type |
Shared Policies
- Always specify units — LAMMPS has multiple unit systems. DeePMD uses
metal, ReaxFF usesreal. - Timestep must match units —
metal: 1 fs = 0.001 ps;real: 1 fs. - Dump trajectory — always include
dumpcommand for trajectory output. - Thermo output — always include
thermoandthermo_stylefor monitoring. - Restart files — write restart files periodically for long simulations.
Quick Decision Guide
- "MD with machine learning potential" / "DP-MD" →
deepmd/SKILL.md - "Reactive MD" / "ReaxFF" / "combustion" / "oxidation" →
reaxff/SKILL.md - "Simple MD" / "LJ" / "EAM" / "metal MD" → use CatGo built-in MD task
- "Convert trajectory" →
../data/dpdata/SKILL.md
General LAMMPS via CatGo (Built-in)
For standard force fields, CatGo's MD engine can be used directly:
catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "md",
"software": "lammps",
"structure": "<json>",
"temperature": 300,
"timestep": 1.0,
"nsteps": 100000,
"system_name": "Cu_melt"
})
For specialized potentials (DeePMD, ReaxFF), use the sub-skills.
Signals
- GitHub stars
- 196
- Forks
- 23
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
lammps-router- Source
- github.com/hello-qm/catgo-lrg