MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Workflow skill for driving the CalculiX MCP server over .inp decks — model inspection, in-place design-variable edits, ccx solve, .dat result reading, and resultmesh.json export for the viewer.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-fem --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-fem .claude/skills/calculix-fem && rm -rf skills-srcUse ~/.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/
Install the "calculix-fem" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-fem into .claude/skills/calculix-fem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-fem", 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 install https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-femType 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.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-fem --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-fem .agents/skills/calculix-fem && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "calculix-fem" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-fem into .agents/skills/calculix-fem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-fem", 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.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-fem --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-fem .cursor/skills/calculix-fem && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "calculix-fem" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-fem into .cursor/skills/calculix-fem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-fem", 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 https://github.com/Cai-aa/CAE-Agent-Hub.git --path Skill/calculix/calculix-fem--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-fem --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-fem .gemini/skills/calculix-fem && rm -rf skills-srcUse ~/.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/
Install the "calculix-fem" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-fem into .gemini/skills/calculix-fem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-fem", 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.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-femInstalls 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).
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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-fem .github/skills/calculix-fem && rm -rf skills-srcUse ~/.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/
Install the "calculix-fem" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-fem into .github/skills/calculix-fem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-fem", 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.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-fem --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-fem .opencode/skills/calculix-fem && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "calculix-fem" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-fem into .opencode/skills/calculix-fem/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-fem", 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.
calculix-femWorkflow skill for driving the CalculiX MCP server over .inp decks — model inspection, in-place design-variable edits, ccx solve, .dat result reading, and resultmesh.json export for the viewer.
Calculix Fem is an agent skill from Cai-aa/CAE-Agent-Hub. Workflow skill for driving the CalculiX MCP server over .inp decks — model inspection, in-place design-variable edits, ccx solve, .dat result reading, and resultmesh.json export for the viewer. Use when an agent must run an open-source linear-static FEM analysis on CalculiX, tune section/material/load parameters, or produce a viewer-renderable result.
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. It works with Model Context Protocol. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 194ef49. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Calculix Fem loads about 569 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 264 words of instructions outside code blocks.
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.
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.
The full file from Cai-aa/CAE-Agent-Hub at commit 194ef49, republished under its MIT licence (© Cai-aa). 264 words, ~569 tokens.
.claude/skills/calculix-fem/SKILL.md (or your agent's skills folder).CalculiX (ccx) is an open-source FEM solver (GPLv2, no license). It reads
Abaqus-style .inp decks and writes text .dat results plus .frd field output.
ccx returns exit code 0 even on *ERROR, so never judge success by the exit
code — the solver layer checks stdout for *ERROR and requires a data row in the
.sta.
Use this skill when an agent must run an open-source linear-static FEA analysis on
CalculiX: parse/inspect a .inp deck, tune section/material/load parameters, solve
with ccx, read .dat results, or export a viewer-renderable result. For commercial
solvers (Abaqus/Ansys), use those solvers' own skills instead.
fea_health — confirm meshio is available and ccx is detected.parse_inp — inspect the .inp (nodes, elements, sections, materials, loads).list_design_vars_tool — list tunable variables; each carries a var_id.modify_card_tool — change a variable by var_id (pure-text, in place).run_solver_tool — submit the deck to ccx.read_results_tool — read max von Mises (self-computed), max |U|, volume, mass.export_results_tool — write result_mesh.json for the viewer..inp working system (commonly mm-t-s-MPa). Report them..dat has no von Mises column and no total volume/mass — these are derived.meshio.write (it drops cards and corrupts element
types). Use modify_card_tool.*NODE PRINT/*EL PRINT (for .dat) and *NODE FILE/*EL FILE
(for .frd).MCP/CalculiX/examples/cantilever.inp is a public cantilever benchmark (steel
C3D8 solid bar, clamped end, transverse tip load). Hand-calc targets at P = 100 N:
tip deflection ≈ 0.8 mm, root stress ≈ 140 MPa.
© 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
Just SKILL.md in Skill/calculix/calculix-fem of Cai-aa/CAE-Agent-Hub.
Open the folder on GitHubat commit 194ef49
Calculix Fem 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Calculix Fem this skillCai-aa/CAE-Agent-Hub | 1k | — | ~569 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| MemPalace Memory SearchMemPalace/mempalace | 60k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
MemPalace/mempalace
Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
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…
Cai-aa/CAE-Agent-Hub
Plan, create, adapt, and quality-audit coin-style five-block O-grid hexahedral meshes for cylindrical CAE models.
Cai-aa/CAE-Agent-Hub
Evidence-first COMSOL Java API and batch workflow for permanent-magnet motor NVH.
Cai-aa/CAE-Agent-Hub
Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.
Cai-aa/CAE-Agent-Hub
Evidence-first Ansys Mechanical structural automation through Workbench RunWB2 journals, Mechanical Scripting/ACT ExtAPI, or PyMechanical gRPC.
Cai-aa/CAE-Agent-Hub
Run, diagnose, reproduce, and validate ANSYS Fluent CFD simulations of forced-convection autoclaves using Fluent MCP or PyFluent.
Works with
Categories
Workflow skill for driving the CalculiX MCP server over .inp decks — model inspection, in-place design-variable edits, ccx solve, .dat result reading, and resultmesh.json export for the viewer. Calculix Fem is an agent skill from Cai-aa/CAE-Agent-Hub.json export for the viewer.
Calculix Fem fits situations like: an agent must run an open-source linear-static FEM analysis on CalculiX; tune section/material/load parameters; produce a viewer-renderable result.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a claude-code`. Or copy the skill folder (Skill/calculix/calculix-fem in Cai-aa/CAE-Agent-Hub) into .claude/skills/calculix-fem in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-fem -a codex`. Or copy the skill folder (Skill/calculix/calculix-fem in Cai-aa/CAE-Agent-Hub) into .agents/skills/calculix-fem in your project. Codex loads it when a task matches its description.
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-fem -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-fem, .gemini/skills/calculix-fem, .github/skills/calculix-fem and .opencode/skills/calculix-fem in your project.
SKILL.md names no scripts, command-line tools or credentials: Calculix Fem is instructions for the agent only.
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.
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.
Calculix Fem is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 569 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Calculix Fem: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MemPalace Memory Search (MemPalace/mempalace, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.