New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Ansys Mechanical Evidence Structural

by Cai-aa in Cai-aa/CAE-Agent-Hub

Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC.

MITAuto-check passedBackend & APIs

Install Ansys Mechanical Evidence Structural

skills CLI
$ npx skills add Cai-aa/CAE-Agent-Hub --skill ansys-mechanical-evidence-structural -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Cai-aa/CAE-Agent-Hub ansys-mechanical-evidence-structural --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skill/Ansys/ansys-mechanical-evidence-structural .claude/skills/ansys-mechanical-evidence-structural && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ansys-mechanical-evidence-structural
GitHub stars
1k
Token cost
~554 tokens
SKILL.md length
163 words
Files
3 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC.

  • Works in 3 steps: Use RunWB2.exe -B -R for project-level… → Use Mechanical Scripting/ACT with ExtAPI… → Use PyMechanical gRPC for an external…
  • Codex must build
  • SKILL.md covers Start, Choose One Control Route, Model and Solve and Finish
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ansys Mechanical Evidence Structural is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC. Use when Codex must build, solve, inspect, postprocess, or validate static, modal, thermal-structural, contact, nonlinear, or other Mechanical analyses with mesh metrics, MAPDL logs, reaction balance, RST files, numeric exports, and result images.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/acceptance-gates.md`).

It sits in Backend & APIs, covering gRPC and Protobuf. It works with gRPC. The licence is MIT.

When your agent uses it

  • Codex must build
  • Validate static
  • Thermal-structural
  • Other Mechanical analyses with mesh metrics

Example prompts

  • “/ansys-mechanical-evidence-structural”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Use RunWB2.exe -B -R for project-level orchestration.
  2. Use Mechanical Scripting/ACT with ExtAPI for model-tree operations.
  3. Use PyMechanical gRPC for an external Python controller and explicit session lifecycle.

What it can do on your machine

Read from SKILL.md and the folder at commit 194ef49. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are powershell).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ansys Mechanical Evidence Structural loads about 554 tokens when it runs, and up to ~829 if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 163 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~554
With references · SKILL.md plus every file in references/, read only if the agent opens them
~829

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Cai-aa/CAE-Agent-Hub at commit 194ef49, republished under its MIT licence (© Cai-aa). 163 words, ~554 tokens.

Download SKILL.mdSave it as .claude/skills/ansys-mechanical-evidence-structural/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
ansys-mechanical-evidence-structural
description
Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC. Use when Codex must build, solve, inspect, postprocess, or validate static, modal, thermal-structural, contact, nonlinear, or other Mechanical analyses with mesh metrics, MAPDL logs, reaction balance, RST files, numeric exports, and result images.

Ansys Mechanical Evidence Structural

Treat Mechanical as its own solver module. Workbench is an orchestration route, not proof that the Mechanical analysis solved.

Start

powershell
ai-cae-toolbox context-scope --solver ansys-mechanical
ai-cae-toolbox bridge-plan --solver ansys-mechanical --objective "<objective>"
ai-cae-toolbox create-run --solver ansys-mechanical --case <case-name> --objective "<objective>"

If MCP is available, prefer:

  • mechanical_check_installation
  • mechanical_run_workbench_journal_file
  • mechanical_run_python_controller_file
  • mechanical_validate_result_summary_file

Choose One Control Route

  1. Use RunWB2.exe -B -R <journal.wbjn> for project-level orchestration.
  2. Use Mechanical Scripting/ACT with ExtAPI for model-tree operations.
  3. Use PyMechanical gRPC for an external Python controller and explicit session lifecycle.

Record the selected route and do not let two controllers own the same session.

Model and Solve

Audit units, geometry scale, materials, contacts, joints, loads, constraints, large-deflection setting, solver controls, result requests, and mesh controls. Use stable names for bodies, named selections, contacts, loads, and results.

Before claiming success, read references/acceptance-gates.md. A .mechdat, Workbench project, or result PNG alone is insufficient.

Finish

Export .mechdat or .wbpj, file.rst, solve.out, mesh metrics, load and reaction data, result CSV/JSON, PNG images, and report.md. State every approximation such as bonded contacts, suppressed bodies, linear materials, or disabled large deformation.

powershell
ai-cae-toolbox scan-evidence <run-dir>
ai-cae-toolbox generate-report <run-dir>

© Cai-aa, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in Skill/Ansys/ansys-mechanical-evidence-structural of Cai-aa/CAE-Agent-Hub.

  • SKILL.md
  • agents/openai.yaml
  • references/acceptance-gates.md

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Ansys Mechanical Evidence Structural next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ansys Mechanical Evidence Structural compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ansys Mechanical Evidence Structural this skillCai-aa/CAE-Agent-Hub1k—~554Automated safety check: PassMIT
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT
Golang Proantoniopaya22/go-rest-template1723 repos~1.2kAutomated safety check: PassMIT
Debug Grpc ConnectionGetBindu/Bindu10k—~1.2kAutomated safety check: PassCustom licence
Aspnet Corefanslead/ReverseProxy.Store1612 repos~1.4kAutomated safety check: PassApache-2.0
Regenerate Grpc StubsGetBindu/Bindu10k—~810Automated safety check: PassCustom licence

Similar skills

  • Use Yaak

    mountain-loop/yaak

    A skill your agent uses when the user mentions Yaak, a Yaak workspace, or the yaak command, or asks to call, hit, or smoke test HTTP/REST endpoints, save or organize API requests for reuse or manual…

    19k GitHub stars~1.9k tokensUpdated 3 days ago
    Backend & APIsAuto-check passed

  • Golang Pro

    antoniopaya22/go-rest-template

    Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with…

    172 GitHub starsUsed in 3 repos~1.2k tokens
    Backend & APIsAuto-check passed

  • Debug Grpc Connection

    GetBindu/Bindu

    Diagnose gRPC connection issues between the Bindu core and a language SDK.

    10k GitHub stars~1.2k tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed

  • Aspnet Core

    fanslead/ReverseProxy.Store

    Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development.

    161 GitHub starsUsed in 2 repos~1.4k tokens
    Backend & APIsAuto-check passed

  • Regenerate Grpc Stubs

    GetBindu/Bindu

    Regenerate Python + TypeScript gRPC stubs after editing proto files.

    10k GitHub stars~810 tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed

  • Spider King

    aoyunyang/spider-king-skill

    Pure-web protocol reverse skill: turn hostile browser clients into browser-free Python collectors.

    509 GitHub stars~7.3k tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed

More from Cai-aa/CAE-Agent-Hub

All 57 skills in this repo

  • Ansys Structural Workbench

    Cai-aa/CAE-Agent-Hub

    Operate or inspect live ANSYS Workbench Mechanical structural simulations through the configured MCP, including model setup, materials, connections, loads, mesh, solve, convergence, validation, and…

    1k GitHub stars~2.2k tokensUpdated 10 days ago
    Auto-check passed

  • Cylinder O Grid

    Cai-aa/CAE-Agent-Hub

    Plan, create, adapt, and quality-audit coin-style five-block O-grid hexahedral meshes for cylindrical CAE models.

    1k GitHub stars~1.6k tokensUpdated 10 days ago
    Auto-check passed

  • Comsol Motor Nvh Evidence

    Cai-aa/CAE-Agent-Hub

    Evidence-first COMSOL Java API and batch workflow for permanent-magnet motor NVH.

    1k GitHub stars~1.3k tokensUpdated 10 days ago
    Auto-check passed

  • Aedt Evidence Electromagnetics

    Cai-aa/CAE-Agent-Hub

    Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.

    1k GitHub stars~591 tokensUpdated 10 days ago
    Auto-check passed

  • Run Fluent Autoclave

    Cai-aa/CAE-Agent-Hub

    Run, diagnose, reproduce, and validate ANSYS Fluent CFD simulations of forced-convection autoclaves using Fluent MCP or PyFluent.

    1k GitHub stars~984 tokensUpdated 10 days ago
    Auto-check passed

  • Abaqus Load

    Cai-aa/CAE-Agent-Hub

    Apply forces and pressures to structures. An agent skill from Cai-aa/CAE-Agent-Hub.

    1k GitHub stars~1.2k tokensUpdated 10 days ago
    Auto-check passed

Works with

Categories

Questions about Ansys Mechanical Evidence Structural

What does Ansys Mechanical Evidence Structural do?

Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC. Ansys Mechanical Evidence Structural is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC.

When should I use Ansys Mechanical Evidence Structural?

Ansys Mechanical Evidence Structural fits situations like: Codex must build; validate static; thermal-structural; other Mechanical analyses with mesh metrics.

How do I install Ansys Mechanical Evidence Structural in Claude Code?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill ansys-mechanical-evidence-structural -a claude-code`. Or copy the skill folder (Skill/Ansys/ansys-mechanical-evidence-structural in Cai-aa/CAE-Agent-Hub) into .claude/skills/ansys-mechanical-evidence-structural in your project. Claude Code loads it when a task matches its description.

How do I install Ansys Mechanical Evidence Structural in Codex?

Run `npx skills add Cai-aa/CAE-Agent-Hub --skill ansys-mechanical-evidence-structural -a codex`. Or copy the skill folder (Skill/Ansys/ansys-mechanical-evidence-structural in Cai-aa/CAE-Agent-Hub) into .agents/skills/ansys-mechanical-evidence-structural in your project. Codex loads it when a task matches its description.

Can I use Ansys Mechanical Evidence Structural in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Cai-aa/CAE-Agent-Hub --skill ansys-mechanical-evidence-structural -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ansys-mechanical-evidence-structural, .gemini/skills/ansys-mechanical-evidence-structural, .github/skills/ansys-mechanical-evidence-structural and .opencode/skills/ansys-mechanical-evidence-structural in your project.

What does Ansys Mechanical Evidence Structural need to run?

SKILL.md names no scripts, command-line tools or credentials: Ansys Mechanical Evidence Structural is instructions for the agent only. Our summary lists: Python 3.

Does Ansys Mechanical Evidence Structural access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ansys Mechanical Evidence Structural safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ansys Mechanical Evidence Structural use?

Ansys Mechanical Evidence Structural is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ansys Mechanical Evidence Structural use?

About 554 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 275 tokens, read only when the agent opens those files.

What are the alternatives to Ansys Mechanical Evidence Structural?

Skills that share tags, products or a category with Ansys Mechanical Evidence Structural: Use Yaak (mountain-loop/yaak, 19k stars), Golang Pro (antoniopaya22/go-rest-template, 172 stars), Debug Grpc Connection (GetBindu/Bindu, 10k stars) and Aspnet Core (fanslead/ReverseProxy.Store, 161 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ansys Mechanical Evidence Structural?

Cai-aa (a GitHub user) maintains it in Cai-aa/CAE-Agent-Hub, which has 1,015 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on September 30, 2026.

Source: Cai-aa/CAE-Agent-Hub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.