scimate-ai/hpc-skills/hpc-gromacs

Claude Code and agent skill by scimate-ai/hpc-skills

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Build, review, debug, and automate GROMACS molecular simulation workflows. Use when working with GROMACS preprocessing, topology and coordinate files, `.mdp` parameters, energy minimization, equilibration, production MD, analysis commands, or GROMACS runtime errors.

Install

npx vskill@latest install scimate-ai/hpc-skills/hpc-gromacs

SKILL.md

HPC GROMACS

Treat GROMACS as a staged workflow from preprocessing to analysis.

Start

  1. Read references/workflow-manual.md before building a run pipeline.
  2. Read references/file-and-parameter-matrix.md when mapping .mdp, topology, structure, and index responsibilities.
  3. Read references/ensembles-and-analysis.md when choosing minimization, NVT, NPT, production, and standard analysis commands.
  4. Read references/cluster-execution-playbook.md when staging a GROMACS workflow for scheduler-backed cluster execution.
  5. Read references/error-recovery.md when grompp, mdrun, or analysis commands fail.

Additional References

Load these on demand:

  • references/topology-and-system-building.md for pdb2gmx, box setup, solvation, and ion insertion workflows
  • references/restarts-and-output-control.md for checkpointing, append behavior, and long-job continuation
  • references/mdp-coupling-and-constraints-matrix.md for thermostat, barostat, constraints, and timestep compatibility
  • references/cluster-execution-playbook.md for grompp to mdrun staging, continuation, and cluster launch choices

Reusable Templates

Use assets/templates/ when a concrete starting scaffold is needed, especially:

  • em.mdp
  • nvt.mdp
  • npt.mdp
  • md_prod.mdp
  • gromacs-mdrun-slurm.sh

Guardrails

  • Do not skip grompp validation and jump straight into mdrun.
  • Do not mix force fields, water models, and topology assumptions casually.
  • Do not copy .mdp cutoffs, timesteps, or coupling settings without checking the intended force field and ensemble.
  • Do not treat warnings from grompp as harmless by default.

Outputs

Summarize:

  • input structure and topology sources
  • .mdp stage and ensemble
  • generated run artifact names such as .tpr
  • analysis outputs requested or still needed

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
34
Repository forks
6
7-day trend score
18

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 27 Apr 2026, 6 months ago.

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