OpenMM Force-Field Assignment Starter
SkillAI & modelsUse 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.
No other account needed.
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.xmlwith deterministiccreateSystemsettings. - 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