Back to Skills

abaqus-job

majiayu000
Updated Today
13 views
58
9
58
View on GitHub
Metageneral

About

This skill creates, submits, and monitors Abaqus analysis jobs, including generating input (.inp) files and running parallel executions. Use it when a model is complete and a user requests to run, submit, or check the status of an analysis. It requires a saved .cae file and uses specific Abaqus commands via a Bash tool.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/majiayu000/claude-skill-registry
Git CloneAlternative
git clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/abaqus-job

Copy and paste this command in Claude Code to install this skill

Documentation

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:

GitHub Repository

majiayu000/claude-skill-registry
Path: skills/data/abaqus-job

Related Skills

algorithmic-art

Meta

This Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.

View skill

subagent-driven-development

Development

This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.

View skill

executing-plans

Design

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

View skill

cost-optimization

Other

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

View skill