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Abaqus Job

CommunityPopular
Cai-aa
abaqus-job

Create and manage Abaqus jobs. Use when user asks to run the analysis, submit the job, execute the model, or generate input file.

Overview

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

Use it in TypingMind

Enable Abaqus Job 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 Job 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 Job 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 Job Skill

This skill creates, submits, and monitors Abaqus analysis jobs. Use it when the model is ready to run.

When to Use This Skill

Route here when user says:

  • "Run the analysis", "Submit the job", "Execute the model"
  • "Generate input file", "Create INP file"
  • "Run in parallel", "Check job status"

Route elsewhere:

  • Reading results after completion → /abaqus-odb
  • Setting up the model → use other module skills

Prerequisites

Before job submission:

  1. Model is complete (geometry, material, mesh, BCs, loads, step)
  2. Model saved to .cae file
  3. No validation errors

Workflow: Running an Analysis

Step 1: Save the Model

Always save before creating a job. The .cae file must exist.

Step 2: Create the Job

Specify job name and model name. They can differ.

Step 3: Choose Submission Mode

User WantsAction
Run analysis and waitSubmit with waitForCompletion
Generate INP only (no run)writeInput
Run in backgroundSubmit without waiting
Run from command lineabaqus job=Name interactive

Step 4: Wait and Monitor

For interactive submission, monitor status until COMPLETED or ABORTED.

Step 5: Check Results

If COMPLETED, results are in .odb file. If ABORTED, check .msg file.

Key Decisions

Submit vs Write Input?

GoalMethod
Run analysis nowsubmit()
Only create INP filewriteInput()
Run later from CLIwriteInput, then abaqus job=Name

Parallel Processing

ScenarioSetting
Small model / Learning EditionnumCpus=1
Large model, multi-corenumCpus=N, numDomains=N
Single machinemp_mode=THREADS
Clustermp_mode=MPI

What to Ask User

If unclear, ask:

  • "Ready to run the analysis?"
  • "How many CPUs for parallel?"
  • "Just need the input file, or run the analysis?"

Output Files

ExtensionContent
.odbResults database (use /abaqus-odb to read)
.datPrinted output (nodal values, summaries)
.msgSolver messages - check this if job fails
.staStatus file (increment progress)
.inpInput file (model definition)
.lckLock file (exists while job runs)

Troubleshooting

Status/ErrorMeaningSolution
COMPLETEDSuccessProceed to /abaqus-odb
ABORTEDFailedCheck .msg file for error
License not availableNo tokensWait or check license server
Memory errorModel too largeIncrease memory or coarsen mesh
.lck file existsStale lockDelete if job is not running

Validation Checklist

Before submitting:

  • Model saved (.cae exists)
  • Job name specified
  • Model name matches saved model
  • CPUs set appropriately

Code Patterns

For 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 Job AI skill do?

Create and manage Abaqus jobs. Use when user asks to run the analysis, submit the job, execute the model, or generate input file.

Why use Abaqus Job on TypingMind?

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

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

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 Job?

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

Is the Abaqus Job 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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