molecular-dynamics
by K-Dense-AIThe molecular-dynamics skill helps you set up, run, and analyze molecular dynamics simulations with OpenMM and MDAnalysis for Scientific workflows. Use it for protein stability, ligand binding, conformational sampling, and trajectory analysis such as RMSD, RMSF, contact maps, and free energy surfaces. It focuses on practical setup, force fields, and reproducible execution.
This skill scores 81/100, which means it is a solid directory listing: users get a clearly named molecular-dynamics workflow with enough operational detail to decide on install, though they should expect some missing support material. The repository is usable for agents because it spells out when to use it, what tools it relies on, and what analyses it supports, but it lacks companion files and install automation that would make adoption smoother.
- Clear, domain-specific trigger: openmm + MDAnalysis for running and analyzing molecular dynamics simulations.
- Good workflow coverage in the skill body: setup, energy minimization, production MD, and trajectory analysis like RMSD/RMSF, contact maps, and free energy surfaces.
- Valid frontmatter and substantial content length with no placeholder markers, supporting a credible install decision.
- No install command, scripts, or support files, so agents may still need manual setup and environment guessing.
- Repository evidence shows limited constraint/practical signaling, so edge-case execution details may require user guidance.
Overview of molecular-dynamics skill
What the molecular-dynamics skill does
The molecular-dynamics skill helps you set up, run, and analyze molecular dynamics simulations for Scientific workflows using OpenMM and MDAnalysis. It is meant for people who need more than a generic prompt: you want a practical path from structure preparation to trajectory analysis, with fewer setup mistakes and less guesswork.
Who it is for
Use the molecular-dynamics skill if you work on protein stability, ligand binding, conformational sampling, protein-protein interfaces, or trajectory analysis such as RMSD, RMSF, contact maps, and free energy surfaces. It is most useful when you already have a structural biology question and need a reproducible simulation workflow, not just a conceptual explanation.
What makes it worth installing
The main value of this molecular-dynamics guide is that it centers the actual workflow choices that block progress: selecting an engine, preparing inputs, defining force fields, and deciding how to analyze outputs. It is a better fit than an ordinary prompt when you want the assistant to stay grounded in MD-specific operations and avoid drifting into vague Scientific advice.
How to Use molecular-dynamics skill
Install and open the source files
Install the molecular-dynamics skill in your Claude skills environment, then open SKILL.md first to get the workflow shape before asking for help. If you are working in the repository directly, read the top-level instructions and then follow any linked sections in order; this skill is compact enough that the main file is the primary source of truth.
Turn a vague goal into a usable prompt
The molecular-dynamics install step matters less than the input quality. Give the skill the system type, simulation goal, and constraints up front. A weak request is: “Help me run MD on a protein.” A stronger molecular-dynamics usage prompt is: “Set up an OpenMM workflow for a 250-residue soluble protein with a bound ligand, using explicit solvent, a CHARMM-compatible force field, energy minimization, equilibration, and trajectory analysis for RMSD, RMSF, and ligand contacts. Assume I have the PDB file and want a Python-first workflow.”
What to include for better output
For best results, specify the starting structure, whether the system is protein-only or protein-plus-ligand, the intended environment, and the analysis you need at the end. Mention GPU availability, desired timescale, and any force-field or solvent preferences. If you omit these, the skill may produce a correct but underspecified molecular-dynamics guide that still leaves key setup choices unresolved.
Suggested workflow
Use the skill in this order: define the biological question, confirm the input structure quality, choose a simulation engine and force field, prepare the system, run minimization and equilibration, then analyze the trajectory. When asking for help, request the workflow in phases so the answer can separate setup decisions from downstream analysis. That makes the molecular-dynamics usage output easier to execute and easier to debug.
molecular-dynamics skill FAQ
Is this skill only for experts?
No. The molecular-dynamics skill is useful for beginners who need a guided workflow, but it is still a technical Scientific tool. If you do not know your starting structure, force field family, or what “production MD” means, you may need a simpler primer before installation.
When should I not use it?
Do not use this skill if you only need a high-level explanation of molecular dynamics, a statistics-only analysis of existing data, or a non-atomistic model. It is also a poor fit if your project does not involve OpenMM or MDAnalysis and you want a domain-agnostic prompt.
How is it different from a normal prompt?
A normal prompt may answer one question, but the molecular-dynamics skill is better for multi-step work where setup choices affect the final result. It helps reduce avoidable mistakes in simulation preparation and trajectory analysis, which is especially important for Scientific tasks where small input differences change the outcome.
Does it fit broader Scientific workflows?
Yes, but only where atomistic simulation is the right tool. The molecular-dynamics skill fits structural biology, biophysics, and drug-binding questions best; it is not a replacement for quantum chemistry, coarse-grained modeling, or experimental interpretation.
How to Improve molecular-dynamics skill
Give the model the right starting state
The biggest improvement comes from providing a clean starting structure and naming the exact scientific question. Say whether the system contains missing residues, ions, cofactors, membrane components, or a ligand, because those details change the setup path in the molecular-dynamics skill and can alter whether the workflow is valid.
Ask for the output you actually need
Do not ask only for “an MD script.” Ask for the simulation stages, parameter choices, and analysis endpoints you want. For example: “Generate an OpenMM workflow that minimizes, equilibrates, and runs production, then computes RMSD, per-residue RMSF, and ligand-protein contact frequency from the trajectory.” That kind of prompt produces more useful molecular-dynamics usage than a generic request.
Watch for the common failure modes
The most common errors are ambiguous force-field choice, missing solvent/ion assumptions, unrealistic timescale expectations, and analysis requests that do not match the available trajectory. If the first answer seems generic, revise with system composition, hardware limits, and whether you need Python code, command steps, or an analysis plan. That will make the molecular-dynamics guide much more actionable.
Iterate from setup to analysis
Treat the first answer as the setup draft, then ask for one refinement pass focused on failure points: equilibration stability, trajectory length, checkpointing, or specific analysis plots. Iteration works best when you preserve the original system description and only change one variable at a time, which keeps the molecular-dynamics skill aligned with your actual Scientific workflow.