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openmm-system-minimization

Use this skill to run a deterministic OpenMM energy minimization on a tiny toy system.

Skill by ma-compbio-lab

IndexedApache-2.0★ 43
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ma-compbio-lab-openmm-system-minimization

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About

Use this skill to run a deterministic OpenMM energy minimization on a tiny toy system. Do not use it for production molecular dynamics or force-field validation.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/openmm-system-minimization

What's inside

Skill name
openmm-system-minimization
Description
Use this skill to run a deterministic OpenMM energy minimization on a tiny toy system. Do not use it for production molecular dynamics or force-field validation.
License
Apache-2.0
Instructions
46 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (10)

  • SKILL.md
  • README.md · assets/
  • openmm_minimization_summary.json · assets/
  • README.md · examples/
  • water_molecule.pdb · examples/
  • metadata.yaml
  • refs.md
  • run_openmm_minimization.py · scripts/
  • README.md · tests/
  • test_run_openmm_minimization.py · tests/

SKILL.md (first lines)

## Purpose
Provide a minimal, runnable OpenMM starter that creates a small bonded system, minimizes its energy, and reports before/after energies and coordinates.

## When to use
- You need a verified local OpenMM entry point.
- You want a tiny deterministic minimization example before scaling to larger simulations.

## When not to use
- You need biomolecular force-field preparation or explicit-solvent production runs.
- You need ensemble sampling or long-timescale trajectories.

## Inputs
- Optional JSON summary path

## Outputs
- JSON summary with OpenMM version, platform, initial/final potential energy, and final coordinates

## Requirements
- `slurm/envs/chem-tools` with OpenMM available

## Procedure
1. Run `slurm/envs/chem-tools/bin/python skills/computational-chemistry-and-molecular-simulation/openmm-system-minimization/scripts/run_openmm_minimization.py`.
2. Compare `initial_potential_energy_kj_mol` and `final_potential_energy_kj_mol`.
3. Reuse the script as a seed for more realistic system-building workflows.

## Validation
- The command exits successfully.
- Final potential energy is lower than the initial potential energy.
- Final coordinates are emitted for all particles.

## Failure modes and fixes
- Missing OpenMM environment: run the script with `slurm/envs/chem-tools/bin/python`.
- Numerical issues: reset the toy system to the bundled defaults.

## Safety and limits
- Educational starter only.
- This is not a physically meaningful production system.

## Provenance
- OpenMM user guide: https://docs.openmm.org/latest/userguide/

## Related skills
- `rdkit-molecular-descriptors`

From ma-compbio-lab/SkillFoundry, Apache-2.0.

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43
Forks
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Last commit (this folder)
Apr 2, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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openmm-system-minimization skill. Agent Mart. https://agentmart.dev/skills/ma-compbio-lab-openmm-system-minimization (last updated 2026-10-24)