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.
Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill fep-agent-hub -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub fep-agent-hub --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/fep-agent-hub .claude/skills/fep-agent-hub && 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 "fep-agent-hub" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/fep-agent-hub into .claude/skills/fep-agent-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fep-agent-hub", 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/fep-agent-hubType 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 fep-agent-hub -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub fep-agent-hub --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/fep-agent-hub .agents/skills/fep-agent-hub && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fep-agent-hub" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/fep-agent-hub into .agents/skills/fep-agent-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fep-agent-hub", 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 fep-agent-hub -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub fep-agent-hub --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/fep-agent-hub .cursor/skills/fep-agent-hub && 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 "fep-agent-hub" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/fep-agent-hub into .cursor/skills/fep-agent-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fep-agent-hub", 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/fep-agent-hub--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 fep-agent-hub -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub fep-agent-hub --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/fep-agent-hub .gemini/skills/fep-agent-hub && 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 "fep-agent-hub" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/fep-agent-hub into .gemini/skills/fep-agent-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fep-agent-hub", 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 fep-agent-hubInstalls 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 fep-agent-hub -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/fep-agent-hub .github/skills/fep-agent-hub && 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 "fep-agent-hub" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/fep-agent-hub into .github/skills/fep-agent-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fep-agent-hub", 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 fep-agent-hub -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 fep-agent-hub --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/fep-agent-hub .opencode/skills/fep-agent-hub && 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 "fep-agent-hub" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/fep-agent-hub into .opencode/skills/fep-agent-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fep-agent-hub", 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.
fep-agent-hubOrchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub.
Fep Agent Hub is an agent skill from Cai-aa/CAE-Agent-Hub. Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub. Use for FEP repository setup or diagnostics; CAD-to-mesh-to-solver-to-postprocessing automation; steady or transient heat transfer; 2D harmonic transformer induction; 2D plane-stress beams; 2D steady laminar channel flow; 2D transient eddy-current and Lenz-law studies; regression, acceptance reports, or scientifically honest CAE videos built from these verified profiles.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/case-catalog.md` and `references/orchestration.md`).
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The licence is MIT.
5 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.
Fep Agent Hub loads about 1.4k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 621 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). 621 words, ~1,419 tokens.
.claude/skills/fep-agent-hub/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Run the three MCP servers as independent stages joined by manifests, semantic IDs, native solver artifacts, and explicit physics gates. Preserve auditability over convenience.
AGENTS.md, root README, relevant prompt, and relevant report before changing a workflow.OPEN_CAE_CONFIG, environment variables, or configs/open-cae.local.toml. Treat public paths as placeholders.Read references/case-catalog.md when selecting a profile, copying benchmark parameters, or deciding whether the request exceeds verified capability.
Use a listed profile only for the physics and dimensionality it declares. Add a new profile, deterministic benchmark, tests, and gates before claiming a new class of analysis is supported.
Read references/orchestration.md before executing or modifying a case.
Follow this order:
Do not skip directly from file creation to visualization. Each stage must pass before its artifact becomes input to the next stage.
Read references/validation-and-claims.md before accepting results, publishing percentages, comparing accuracy, or composing video.
Apply these non-negotiable rules:
SUCCEEDED, BLOCKED, and FAILED as distinct outcomes. A contextually unsupported operation should return BLOCKED, not a fabricated artifact.FreeCAD semantic_id -> Gmsh Physical ID -> Elmer body/boundary ID -> VTU array -> ParaView proxy/array..gitignore.When a deterministic full-case replay is requested, prefer the repository scripts instead of reconstructing long tool sequences:
scripts/mcp_heat_smoke.pyscripts/mcp_transient_heat_smoke.pyscripts/mcp_transformer_smoke.pyscripts/mcp_beam_smoke.pyscripts/mcp_channel_flow_smoke.pyscripts/mcp_lenz_eddy_smoke.py --variants fullscripts/mcp_full_validation.pyscripts/protocol_smoke.pyRun the repository's current prescribed test matrix before release. Report the observed counts from that run rather than copying historical counts into a new claim.
Return BLOCKED with the missing profile, model, reference data, or validation work when the request requires unverified nonlinear materials, contact, plasticity, structural dynamics, turbulence, free surfaces, compressibility, three-dimensional end effects, magnetic hysteresis/saturation, motion, bidirectional multiphysics, MPI, arbitrary scripts, or industrial-certification accuracy.
© 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
SKILL.md and 4 other files (references) in Skill/fep-agent-hub of Cai-aa/CAE-Agent-Hub.
Open the folder on GitHubat commit 194ef49
Fep Agent Hub 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 |
|---|---|---|---|---|---|---|
| Fep Agent Hub this skillCai-aa/CAE-Agent-Hub | 1k | — | ~1.4k | 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 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | 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.
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.
warpdotdev/warp
Migrates the compatible subset of settings and global file-based MCP servers from the Warp desktop app into Warp Agent CLI without exposing credentials or state.
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
Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub. Fep Agent Hub is an agent skill from Cai-aa/CAE-Agent-Hub. Orchestrate and validate evidence-first CAE workflows through the independent FreeCAD, Elmer FEM, and ParaView MCP servers in FEP Agent Hub.
Fep Agent Hub fits situations like: FEP repository setup; CAD-to-mesh-to-solver-to-postprocessing automation; transient heat transfer; 2D harmonic transformer induction.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill fep-agent-hub -a claude-code`. Or copy the skill folder (Skill/fep-agent-hub in Cai-aa/CAE-Agent-Hub) into .claude/skills/fep-agent-hub in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill fep-agent-hub -a codex`. Or copy the skill folder (Skill/fep-agent-hub in Cai-aa/CAE-Agent-Hub) into .agents/skills/fep-agent-hub 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 fep-agent-hub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fep-agent-hub, .gemini/skills/fep-agent-hub, .github/skills/fep-agent-hub and .opencode/skills/fep-agent-hub in your project.
SKILL.md names no scripts, command-line tools or credentials: Fep Agent Hub 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.
Fep Agent Hub is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.7k 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 3.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Fep Agent Hub: 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 Crush Configuration (charmbracelet/crush, 29k 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.