Abaqus Odb

CommunityPopular

Cai-aa

abaqus-odb

Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.

Overview

Publisher	Cai-aa
Repository	`CAE-Agent-Hub`
Skill name	`abaqus-odb`
Stars	1K
Forks	130
Bundled files	3
License	MIT
Links	Skill source Repository

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 Odb AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/postprocessing/abaqus-odb
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/abaqus/postprocessing/abaqus-odb

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/postprocessing/abaqus-odb .claude/skills/abaqus-odb

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abaqus Odb 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 Odb 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 Odb 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 ODB Skill

This skill reads and extracts analysis results from Abaqus ODB files.

When to Use This Skill

Route here when user mentions:

"What is the maximum stress?", "extract displacement"
"Get reaction forces", "post-process the ODB"
"Export results to CSV", "what are the eigenfrequencies?"

Route elsewhere:

Running the analysis → /abaqus-job
Configuring what output to save → /abaqus-output
Exporting geometry (STL, STEP) → /abaqus-export

Key Decisions

1. What Result is Needed?

Need	Field	Notes
Displacement	`U`	Use `.magnitude` for total
Stress	`S`	Use `.mises` for von Mises
Reaction force	`RF`	Sum components for total
Strain	`E`	Similar structure to stress
Temperature	`NT`	Thermal analysis results
Eigenfrequency	Frame description	Parse from frame metadata

2. Which Step/Frame?

Scenario	Frame Selection
Final results	`step.frames[-1]`
All time history	Loop all frames
Specific time	Find by `frameValue`
Modal analysis	Each frame = mode

3. Location: Global Max or Specific?

Need	Approach
Overall maximum	Loop all values, find max
Specific node	Filter by `nodeLabel`
Subset/region	Use `getSubset(region=...)`

4. Export Format?

Format	Use Case
Print to console	Quick check
CSV file	Spreadsheet analysis
Text report	Documentation

What to Ask User

If unclear, ask:

What result? Stress, displacement, reaction force, frequency?
Which step/frame? Final, specific time, or all?
Location? Maximum anywhere, or specific node/region?
Output format? Print, CSV, or report?

Workflow

Open ODB - Use readOnly=True for extraction
Navigate to step/frame - List steps with odb.steps.keys()
Get field output - Access via frame.fieldOutputs['U']
Extract values - Loop field.values, use .magnitude, .mises
Close ODB - Always close when done

Common Tasks

Task	Approach
Max displacement	Loop U values, find max magnitude
Max von Mises stress	Loop S values, find max mises
Total reaction force	Sum RF components across all nodes
Displacement at node	Filter by nodeLabel
Results in region	Use getSubset with node/element set
Eigenfrequencies	Parse frame.description in frequency step
Time history	Use historyRegions and historyOutputs
Export to CSV	Write values with csv module

Troubleshooting

Error	Cause	Solution
"ODB locked"	Another process has it	Delete `.lck` file
"Key not found"	Wrong variable name	List available keys first
"No values"	Output not requested	Check FieldOutputRequest in model
"AttributeError: mises"	Element has no mises	Check element formulation

Code Patterns

For API syntax and code examples, see:

ODB Extraction Patterns
Common Queries
Export Templates

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 Odb AI skill do?

Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.

Why use Abaqus Odb on TypingMind?

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

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

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 Odb?

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

Is the Abaqus Odb 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Abaqus ODB Skill

When to Use This Skill

Key Decisions

1. What Result is Needed?

2. Which Step/Frame?

3. Location: Global Max or Specific?

4. Export Format?

What to Ask User

Workflow

Common Tasks

Troubleshooting

Code Patterns

Bundled files

Frequently asked questions

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