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Abaqus Step

CommunityPopular
Cai-aa
abaqus-step

Define analysis steps and procedures. Use when user mentions static analysis, dynamic step, frequency analysis, heat transfer step, or asks about analysis type, time increments, or nlgeom.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill nameabaqus-step
Stars
1K
Forks
130
Bundled files
3
LicenseMIT
Links
  • 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.

  • 3 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 Abaqus Step 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/abaqus/setup/abaqus-step
  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/abaqus/setup/abaqus-step .claude/skills/abaqus-step
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Step 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 Abaqus Step 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 Abaqus Step 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.

Abaqus Step Skill

This skill defines analysis steps and procedures in Abaqus. Steps control what physics are solved and how the solution proceeds.

When to Use This Skill

Route here when user mentions:

  • "static analysis", "dynamic step", "frequency analysis"
  • "heat transfer step", "thermal step", "transient analysis"
  • "analysis type", "time increments", "nlgeom"
  • "convergence issues", "increment size", "time step"
  • "multi-step analysis", "sequential loading"
  • "buckling analysis", "modal analysis"
  • "impact simulation", "crash analysis"

Route elsewhere:

  • Applying boundary conditions → /abaqus-bc
  • Applying loads → /abaqus-load
  • Setting up optimization → /abaqus-optimization
  • Configuring output requests → /abaqus-output

Workflow: Creating Analysis Steps

Step 1: Understand User's Physics

Ask if unclear:

  • What physics? Stress, vibration, heat transfer, coupled?
  • Static or dynamic? Constant load vs time-varying?
  • Linear or nonlinear? Small or large deformations?

Step 2: Choose Step Type

Analysis GoalStep TypeKey Parameter
Stress under constant loadStaticStepnlgeom=OFF/ON
Natural frequenciesFrequencyStepnumEigen
Buckling modesBuckleStepnumEigen
Transient dynamics (smooth)ImplicitDynamicsSteptimePeriod
Impact/crashExplicitDynamicsSteptimePeriod
Heat conductionHeatTransferStepresponse
Thermal + structuralCoupledTempDisplacementSteptimePeriod
Harmonic responseSteadyStateDynamicsStepfrequencyRange

Most common: StaticStep with nlgeom=OFF for linear stress analysis.

Step 3: Determine Linearity

Conditionnlgeom SettingWhen
Small deformation, linear materialOFFDefault, fastest
Large rotation/displacementONThin structures, cables
PlasticityONMaterial yields
ContactONParts touching
BucklingONPost-buckling behavior

Step 4: Configure Increment Control

Convergence DifficultyinitialIncminIncmaxInc
Easy (linear)1.01e-61.0
Moderate0.11e-80.2
Difficult (contact, plasticity)0.011e-120.05

Step 5: Chain Multiple Steps (if needed)

For sequential loading:

  1. First step uses previous='Initial'
  2. Subsequent steps chain from previous step name
  3. Each step can have different physics or settings

Key Parameters

ParameterPurposeTypical Value
timePeriodDuration of step1.0 for static
initialIncStarting increment size0.1 for nonlinear
maxNumIncMaximum iterations100
minIncSmallest allowed increment1e-8
maxIncLargest allowed increment0.1-1.0
numEigenModes to extract10
deltmxMax temp change per increment5.0-10.0

Special Considerations

Frequency/Modal Analysis

  • Always from Initial step (no preload needed for basic modal)
  • Use LANCZOS eigensolver for large models
  • Extract 10-20 modes typically

Buckling Analysis

  • Usually follows a load step (to apply reference load)
  • Eigenvalues are load multipliers
  • First positive eigenvalue is critical

Explicit Dynamics

  • Time period should be very short (milliseconds)
  • Increment size determined automatically
  • Mass scaling may be needed for quasi-static problems

Heat Transfer

  • STEADY_STATE for equilibrium temperature
  • TRANSIENT for time-varying temperature
  • deltmx controls accuracy vs speed

Troubleshooting

ProblemLikely CauseSolution
"Too many increments"Convergence difficultyReduce maxInc, increase maxNumInc
"Negative eigenvalues"Unconstrained or unstableCheck BCs, add stabilization
"Time increment too small"Severe nonlinearityAdd stabilization, check material
"Explicit time increment"Very small elementsUse mass scaling or coarsen mesh

Validation Checklist

After step creation, verify:

  • Step type matches analysis physics
  • nlgeom setting appropriate for deformation level
  • Increment control parameters reasonable
  • Step chains correctly from previous
  • Time period appropriate for transient analysis

Code Patterns

For actual API syntax and code examples, see:

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 Abaqus Step AI skill do?

Define analysis steps and procedures. Use when user mentions static analysis, dynamic step, frequency analysis, heat transfer step, or asks about analysis type, time increments, or nlgeom.

Why use Abaqus Step on TypingMind?

Because you install it once and use it with any model. Abaqus Step 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 Abaqus Step in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/setup/abaqus-step. 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 Abaqus Step?

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 Abaqus Step?

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

Is the Abaqus Step 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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