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Lammps Evidence Md

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Cai-aa
lammps-evidence-md

Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and reproducibility checks. Use when Codex must prepare, run, diagnose, or report a LAMMPS materials simulation or hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill namelammps-evidence-md
Stars
1K
Forks
130
Bundled files
2
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Cai-aa on GitHub. Read the source before you install it.

Installation

Install the Lammps Evidence Md AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/lammps/lammps-evidence-md
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git /tmp/CAE-Agent-Hub
mkdir -p .claude/skills
cp -r /tmp/CAE-Agent-Hub/Skill/lammps/lammps-evidence-md .claude/skills/lammps-evidence-md
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lammps Evidence Md in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lammps Evidence Md on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lammps Evidence Md is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

LAMMPS Evidence MD

Keep the input deck, potential provenance, random seeds, executable build, log, trajectory, and postprocessing chain traceable.

Start

powershell
ai-cae-toolbox context-scope --solver lammps
ai-cae-toolbox bridge-plan --solver lammps --objective "<objective>"
ai-cae-toolbox create-run --solver lammps --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver lammps --run-dir <run-dir>

Use lammps_check_installation and lammps_run_input_file when MCP is available.

Build and Run

  • Declare units, boundary conditions, atom style, dimensions, masses, and atom types.
  • Record potential filename, source, license, supported species, and parameterization scope.
  • Separate minimization, equilibration, loading, and production phases.
  • Record timestep, thermostat/barostat damping, deformation rate, dump interval, thermo fields, random seeds, and restart strategy.
  • Run a tiny parser/smoke case before a long trajectory.

Read references/validation.md before interpreting stress, fracture, diffusion, or phase behavior.

Finish

Require a normal LAMMPS termination signal, complete log, expected step count, thermo data, and trajectory or final data output. Export derived curves through a versioned script. Hand trajectories to the OVITO skill for visualization, but keep LAMMPS solve evidence and OVITO render evidence separate.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lammps Evidence Md AI skill do?

Evidence-first LAMMPS molecular-dynamics workflow for input decks, potentials, minimization, equilibration, deformation, thermo logs, trajectories, restart/data files, stress-strain extraction, and reproducibility checks. Use when Codex must prepare, run, diagnose, or report a LAMMPS materials simulation or hand its trajectory to OVITO without overstating nanoscale demo results as calibrated macroscopic properties.

Why use Lammps Evidence Md on TypingMind?

Because you install it once and use it with any model. Lammps Evidence Md is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lammps Evidence Md in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/lammps/lammps-evidence-md. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lammps Evidence Md?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lammps Evidence Md?

As many as you like. As long as a model supports skills, you can use Lammps Evidence Md with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lammps Evidence Md AI skill free?

Yes. It is published on GitHub by Cai-aa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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