OpenMM Force-Field Assignment Starter

SkillAI & models

Use this skill to assign a simple water force field to a tiny PDB topology with OpenMM and summarize the resulting system.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the OpenMM Force-Field Assignment Starter skill

About this capability

A framework for discovering, compiling, and validating reusable skills for scientific agents.

What this skill tells your AI

The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/SKILL.md and read by ahel’s review.

Use this skill to assign a simple water force field to a tiny PDB topology with OpenMM and summarize the resulting system.

What it does

  • Loads a small example PDB topology.
  • Applies OpenMM tip3p.xml with deterministic createSystem settings.
  • Reports particle, residue, constraint, and force-class counts in JSON.

When to use it

  • You need a verified local starter for force-field assignment.
  • You want a small, deterministic system-construction check before longer OpenMM workflows.

Example

./slurm/envs/chem-tools/bin/python skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/scripts/run_openmm_forcefield_assignment.py \
  --input skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/examples/two_waters.pdb \
  --out scratch/openmm-forcefield/summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/computational-chemistry-and-molecular-simulation/openmm-forcefield-assignment-starter/tests -p 'test_*.py'
  • Repository smoke target: make smoke-openmm-forcefield

Signals

GitHub stars
39
Forks
5
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
openmm-forcefield-assignment-starter
Source
github.com/ma-compbio-lab/skillfoundry