Agent skill

Calculix Sizing Optimization

MITAuto-check passed

Install Calculix Sizing Optimization

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-sizing-optimization -a claude-code

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

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub calculix-sizing-optimization --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/calculix/calculix-sizing-optimization .claude/skills/calculix-sizing-optimization && 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/

Paste into Claude Code

Install the "calculix-sizing-optimization" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization into .claude/skills/calculix-sizing-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-sizing-optimization", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-sizing-optimization -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub calculix-sizing-optimization --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Skill/calculix/calculix-sizing-optimization .agents/skills/calculix-sizing-optimization && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "calculix-sizing-optimization" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization into .agents/skills/calculix-sizing-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-sizing-optimization", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-sizing-optimization -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub calculix-sizing-optimization --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Skill/calculix/calculix-sizing-optimization .cursor/skills/calculix-sizing-optimization && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "calculix-sizing-optimization" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization into .cursor/skills/calculix-sizing-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-sizing-optimization", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Cai-aa/CAE-Agent-Hub.git --path Skill/calculix/calculix-sizing-optimization

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-sizing-optimization -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub calculix-sizing-optimization --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Skill/calculix/calculix-sizing-optimization .gemini/skills/calculix-sizing-optimization && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "calculix-sizing-optimization" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization into .gemini/skills/calculix-sizing-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-sizing-optimization", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub calculix-sizing-optimization

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-sizing-optimization -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .github/skills && cp -r skills-src/Skill/calculix/calculix-sizing-optimization .github/skills/calculix-sizing-optimization && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "calculix-sizing-optimization" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization into .github/skills/calculix-sizing-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-sizing-optimization", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-sizing-optimization -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Cai-aa/CAE-Agent-Hub calculix-sizing-optimization --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Skill/calculix/calculix-sizing-optimization .opencode/skills/calculix-sizing-optimization && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "calculix-sizing-optimization" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-sizing-optimization into .opencode/skills/calculix-sizing-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-sizing-optimization", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: calculix-sizing-optimization
GitHub stars: 998
Token cost: ~1.2k tokens
SKILL.md length: 550 words
Files: 1
Skills in repo: 57
Repo updated: Sep 30, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: parse_inp / list_design_vars_tool —… → Choose bounds {var_id: [lower, upper]}… → optimize_structure_tool — run the… → …
An agent must lighten a CalculiX shell
SKILL.md covers When to Use, Workflow, Rules and Example
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Calculix Sizing Optimization is an agent skill from Cai-aa/CAE-Agent-Hub. Workflow skill for two-stage sizing/parameter optimization on a CalculiX shell or beam deck via the optimizestructure tool — Latin Hypercube sweep plus coordinate descent to minimize mass subject to stress/displacement or natural-frequency constraints by tuning scalar section/material/load cards. Use when an agent must lighten a CalculiX shell or beam model while keeping stress and deflection within limits, or must thin a deck until its first modes clear a resonance floor (freq1hz constraint on a FREQUENCY deck).

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The licence is MIT.

When your agent uses it

An agent must lighten a CalculiX shell
Beam model while keeping stress and deflection within limits
Must thin a deck until its first modes clear a resonance floor (freq1hz constraint on a FREQUENCY deck)

Example prompts

“/calculix-sizing-optimization”

Workflow steps

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

parse_inp / list_design_vars_tool — confirm the deck and find the
Choose bounds {var_id: [lower, upper]} to bracket the search. Mass falls
optimize_structure_tool — run the two-stage loop (LHS sweep, then
Inspect the result: best (vars, mass_kg, stress_vm, disp, feasible,
Optional: export_results_tool on the persisted .optimized.inp to

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.
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

Calculix Sizing Optimization loads about 1.2k tokens when it runs. Until then it costs about 138 tokens; SKILL.md has 550 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~138
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

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). 550 words, ~1,178 tokens.

Download SKILL.mdSave it as .claude/skills/calculix-sizing-optimization/SKILL.md (or your agent's skills folder).

name: calculix-sizing-optimization
description: Workflow skill for two-stage sizing/parameter optimization on a CalculiX shell or beam deck via the optimize_structure tool — Latin Hypercube sweep plus coordinate descent to minimize mass subject to stress/displacement or natural-frequency constraints by tuning scalar section/material/load cards. Use when an agent must lighten a CalculiX shell or beam model while keeping stress and deflection within limits, or must thin a deck until its first modes clear a resonance floor (freq_1_hz constraint on a *FREQUENCY deck).

CalculiX Sizing Optimization

Two-stage sizing/parameter optimization: minimize mass subject to stress, displacement, or natural-frequency constraints by editing scalar design variables in place (shell thickness, beam section, material E/nu/density, load magnitude). The mesh and geometry never change — only scalar cards.

This is sizing optimization, not topology optimization. It thins sections; it does not redistribute material in space.

When to Use

Use when an agent must lighten a CalculiX shell or beam model while keeping von Mises stress and displacement within limits (static deck), or must lighten it while keeping a natural frequency above a resonance floor (modal deck). Driven by the optimize_structure_tool MCP tool.

Do NOT use for:

Solid (C3D8 / C3D8R) models. Solids expose no scalar geometry card — their mass is set by node-defined volume x density, so there is no thickness to thin. Material/load variables on a solid are degenerate for mass minimization (density changes mass but not stiffness; E changes stiffness but not mass). Solid lightweighting needs shape or topology optimization, which is a different problem and is not covered here.
Topology optimization (material distribution over a fixed mesh) — separate, future work.

Workflow

parse_inp / list_design_vars_tool — confirm the deck and find the shell.<elset>.thickness (or beam section) var_id and its current value.
Choose bounds {var_id: [lower, upper]} to bracket the search. Mass falls monotonically with shell/beam thickness.
optimize_structure_tool — run the two-stage loop (LHS sweep, then coordinate descent). Each evaluation is a real ccx solve, so set max_solves to bound wall time.
Inspect the result: best (vars, mass_kg, stress_vm, disp, feasible, mass_reduction_pct), converged / termination_reason, and history.
Optional: export_results_tool on the persisted <stem>.optimized.inp to render the optimized design in the viewer.

Show full SKILL.md (277 more words)Show less

Rules

Frame results as sizing/parameter optimization (section sizing), never topology.
Defaults: minimize mass s.t. max von Mises < 250 MPa and max displacement < 1.5 mm; pass objective / constraints to override.
Match the constraint set to the deck: a *STATIC deck reports max_stress_vm / max_disp; a *FREQUENCY deck reports freq_<N>_hz (mode N in Hz, from the .dat eigenvalue table) and nothing else. Mixing a stress constraint into a modal optimization makes every point infeasible — the run warns about missing metrics rather than failing opaquely.
Avoid-resonance runs: on a modal deck pass e.g. constraints=[{"metric": "freq_1_hz", "op": ">", "value": 300.0}]; thinning stops where mode 1 sits just above the floor. Constraint metric names are validated (mass, max_stress_vm, max_disp, freq_<N>_hz).
The acceptance rule assumes shell/beam thickness (mass-monotone). Material E and load magnitude are exposed as variables but are not validated for mass-minimization — prefer section thickness.
Units follow the .inp (commonly mm-t-s-MPa); mass_kg is reported in kg.
A converged=False result is not a failure: best is the lightest feasible point found, and bound_limited tells whether it already sits at the box optimum (widen the bounds to do better).

Example

MCP/CalculiX/examples/bracket.inp is a public S4 shell bracket (steel plate, clamped edge, transverse tip load). Starting from thickness 8 mm with bounds {"shell.PLATE.thickness": [2.0, 8.0]} and n_lhs=8, the optimizer converges to ~4.1 mm — about -48% mass — while keeping stress < 250 MPa and displacement < 1.5 mm.

MCP/CalculiX/examples/plate_modal.inp is the avoid-resonance counterpart: a public S4 shell cantilever plate with a 5-mode *FREQUENCY step. With constraints=[{"metric": "freq_1_hz", "op": ">", "value": 30.0}] the optimizer thins from 4 mm to ~3.23 mm — -19% mass, f1 = 30.4 Hz — matching the Euler-Bernoulli hand calc t* = 30 / 9.29 ≈ 3.23 mm for L = 300 steel (f1 ≈ (1.8751²/2π)(t/L²)√(E/12ρ)).

Files

Just SKILL.md in Skill/calculix/calculix-sizing-optimization of Cai-aa/CAE-Agent-Hub.

Open the folder on GitHubat commit 194ef49

Compare with similar skills

Calculix Sizing Optimization 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.

Calculix Sizing Optimization compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Calculix Sizing Optimization this skillCai-aa/CAE-Agent-Hub	998	—	~1.2k	Automated safety check: Pass	MIT	7 days ago
Parametersthedaviddias/Front-End-Checklist	74k	—	~638	Automated safety check: Pass	MIT	yesterday
Shell ScriptingRightNow-AI/openfang	18k	—	~827	Automated safety check: Pass	Apache-2.0	3 mo ago
Crush Shell Builtinscharmbracelet/crush	29k	—	~790	Automated safety check: Pass	Custom licence	today
Responsive Sizethedaviddias/Front-End-Checklist	74k	—	~805	Automated safety check: Pass	MIT	yesterday
Dom Sizethedaviddias/Front-End-Checklist	74k	—	~390	Automated safety check: Pass	MIT	yesterday

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Questions about Calculix Sizing Optimization

What does Calculix Sizing Optimization do?

Workflow skill for two-stage sizing/parameter optimization on a CalculiX shell or beam deck via the optimizestructure tool — Latin Hypercube sweep plus coordinate descent to minimize mass subject to…. Calculix Sizing Optimization is an agent skill from Cai-aa/CAE-Agent-Hub. Workflow skill for two-stage sizing/parameter optimization on a CalculiX shell or beam deck via the optimizestructure tool — Latin Hypercube sweep plus coordinate descent to minimize mass subject to stress/displacement or natural-frequency constraints by tuning scalar section/material/load cards.

When should I use Calculix Sizing Optimization?

Calculix Sizing Optimization fits situations like: an agent must lighten a CalculiX shell; beam model while keeping stress and deflection within limits; must thin a deck until its first modes clear a resonance floor (freq1hz constraint on a FREQUENCY deck).

How do I install Calculix Sizing Optimization in Claude Code?

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

How do I install Calculix Sizing Optimization in Codex?

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

Can I use Calculix Sizing Optimization 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 calculix-sizing-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/calculix-sizing-optimization, .gemini/skills/calculix-sizing-optimization, .github/skills/calculix-sizing-optimization and .opencode/skills/calculix-sizing-optimization in your project.

What does Calculix Sizing Optimization need to run?

SKILL.md names no scripts, command-line tools or credentials: Calculix Sizing Optimization is instructions for the agent only.

Does Calculix Sizing Optimization 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 Calculix Sizing Optimization 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 Calculix Sizing Optimization use?

Calculix Sizing Optimization 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 Calculix Sizing Optimization use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Calculix Sizing Optimization?

Skills that share tags, products or a category with Calculix Sizing Optimization: Parameters (thedaviddias/Front-End-Checklist, 74k stars), Shell Scripting (RightNow-AI/openfang, 18k stars), Crush Shell Builtins (charmbracelet/crush, 29k stars) and Responsive Size (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Calculix Sizing Optimization?

Cai-aa (a GitHub user) maintains it in Cai-aa/CAE-Agent-Hub, which has 998 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.

Install Calculix Sizing Optimization

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

CalculiX Sizing Optimization

When to Use

Workflow

Rules

Example

Files

Compare with similar skills

Similar skills

More from Cai-aa/CAE-Agent-Hub

Questions about Calculix Sizing Optimization