Back to Skills

abaqus-docs

majiayu000
Updated Today
16 views
58
9
58
View on GitHub
Documentationwordapi

About

This skill manages abqpy API documentation downloads and provides access to Abaqus Python API references. Use it when developers need parameter lookups, method references, or to refresh documentation. It routes users to pre-downloaded docs at `.claude/docs/abaqus-api/modules/` for API-related queries.

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-docs

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

Documentation

Abaqus Documentation Skill

Navigate and access Abaqus Python API documentation for parameter lookups and method reference.

When to Use This Skill

Route here when user asks:

  • "Where is the API documentation?"
  • "What parameters does X take?"
  • "What methods are available for Material/Part/Mesh?"
  • "Show me the API reference for..."
  • "Download/refresh the docs"

Route elsewhere:

  • Learning concepts or workflows -> specific analysis skills
  • Running analyses -> /abaqus-static-analysis, /abaqus-dynamic-analysis, etc.
  • Quick code examples -> module-specific skills like /abaqus-material

Documentation Location

All API documentation is pre-downloaded at:

.claude/docs/abaqus-api/modules/

Module Index

TaskDocumentation File
Model databasemodules/mdb.md
Model internalsmodules/mdb_model.md
Part creationmodules/part.md
2D sketchingmodules/sketcher.md
Assembly/instancesmodules/assembly.md
Material propertiesmodules/material.md
Section propertiesmodules/property.md
Meshingmodules/mesh.md
Analysis stepsmodules/step.md
Loadsmodules/load.md
Boundary conditionsmodules/bc.md
Contact/tiesmodules/interaction.md
Time-varying definitionsmodules/amplitude.md
Initial/predefined fieldsmodules/field.md
Output requestsmodules/output.md
Topology optimizationmodules/optimization.md
Job managementmodules/job.md
Results accessmodules/odb.md

How to Use

Answering API Questions

  1. Identify which module the user needs from the index above
  2. Read the relevant documentation file
  3. Extract specific method signatures, parameters, or examples

Common Lookups

User Asks AboutRead This Module
Creating geometrypart.md, sketcher.md
Positioning partsassembly.md
Defining materialsmaterial.md
Creating sectionsproperty.md
Generating meshmesh.md
Setting up analysisstep.md
Applying forcesload.md
Fixing supportsbc.md
Defining contactinteraction.md
Running analysisjob.md
Extracting resultsodb.md

Refreshing Documentation

If documentation is missing or outdated:

  1. Run the download script at .claude/skills/abaqus-docs/scripts/download_abqpy_docs.py
  2. Use --force flag to overwrite existing files

Documentation Sources

Code Patterns

For actual API syntax and code examples, see:

  • references/api-quick-ref.md
  • references/common-patterns.md

GitHub Repository

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

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

creating-opencode-plugins

Meta

This skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.

View skill

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill

langchain

Meta

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

View skill