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Abaqus Field

CommunityPopular
Cai-aa
abaqus-field

Define initial conditions and predefined fields. Use when user mentions initial temperature, pre-stress, residual stress, or import from previous analysis.

Overview

PublisherCai-aa
RepositoryCAE-Agent-Hub
Skill nameabaqus-field
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 Field 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-field
  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-field .claude/skills/abaqus-field
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Field 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 Field 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 Field 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 Field Skill

This skill defines initial conditions and predefined fields in Abaqus. Use it to set starting states or import results from previous analyses.

When to Use This Skill

Route here when user mentions:

  • "initial temperature", "starting temperature", "the part starts at..."
  • "pre-stress", "residual stress", "initial stress"
  • "initial velocity" (for impact/explicit dynamics)
  • "import temperature from thermal analysis"
  • "transfer results from previous analysis"
  • "bolt pre-tension", "bolt preload"

Route elsewhere:

  • Fixed temperature boundary conditions → /abaqus-bc
  • Heat flux, convection, radiation loads → /abaqus-load
  • Time-varying fields via amplitude → /abaqus-amplitude

Key Decisions

Field Type Selection

User NeedField TypeTypical Use
Starting temperatureTemperatureThermal stress from uniform T
Residual stressStressPre-stressed members
Impact velocityVelocityExplicit dynamics
From other analysisPredefined TemperatureSequential thermal-structural
Custom variablePredefined FieldUser-defined behaviors

Distribution Type

TypeWhen to Use
UNIFORMSame value everywhere
FROM_FILEImport from ODB or FIL
ANALYTICAL_FIELDExpression-based (X, Y, Z)
USER_DEFINEDVia user subroutine

What to Ask User

If information is missing, ask:

  1. What initial condition? Temperature, stress, velocity, or custom field?
  2. Uniform or varying? Same value everywhere or position-dependent?
  3. Import from ODB? If transferring, which file/step/frame?
  4. Region? Entire model or specific region?
  5. Value(s)? Magnitude, stress components, or velocity vector?

Workflow: Setting Up Fields

Step 1: Identify Field Type

Match user request to field type:

  • Temperature values → Temperature field
  • Stress state → Stress field
  • Moving parts → Velocity field
  • Previous analysis results → FROM_FILE distribution

Step 2: Define Region

Determine where the field applies:

  • Entire model (assembly set)
  • Specific part instance
  • Element set or node set

Step 3: Set Values or Import

For uniform fields: specify single magnitude or component values. For imported fields: ODB path, step name, increment number.

Step 4: Verify Step

Initial conditions use createStepName='Initial'. Predefined fields in analysis steps use the step name.

Sequential Thermal-Structural Workflow

  1. Run thermal analysis, save ODB
  2. Import temperature as predefined field in structural model
  3. Temperature causes thermal strain (requires expansion coefficient)

Key Parameters

ParameterNotes
createStepName'Initial' for initial conditions, step name for predefined
distributionTypeUNIFORM, FROM_FILE, ANALYTICAL_FIELD
fileNameODB path for FROM_FILE distribution
beginStep/endStepFrame selection for ODB import

Validation Checklist

  • Correct field type for the physics
  • Region covers intended elements/nodes
  • Step name is correct (Initial vs analysis step)
  • For FROM_FILE: ODB exists and contains required data
  • For thermal stress: material has expansion coefficient

Troubleshooting

ProblemLikely CauseSolution
Field not appliedWrong region or stepVerify region covers elements
Cannot read from ODBODB locked or wrong pathClose other sessions, check path
Temperature mismatchMesh incompatibilityUse mapping tolerance options
Stress equilibrium errorStress not self-equilibratingReview stress field consistency

Code Patterns

For API syntax and code examples, see references/ folder.

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 Field AI skill do?

Define initial conditions and predefined fields. Use when user mentions initial temperature, pre-stress, residual stress, or import from previous analysis.

Why use Abaqus Field on TypingMind?

Because you install it once and use it with any model. Abaqus Field 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 Field 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-field. 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 Field?

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 Field?

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

Is the Abaqus Field 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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