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.
Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub aedt-evidence-electromagnetics --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/Ansys/aedt-evidence-electromagnetics .claude/skills/aedt-evidence-electromagnetics && 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 "aedt-evidence-electromagnetics" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics into .claude/skills/aedt-evidence-electromagnetics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aedt-evidence-electromagnetics", 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/Ansys/aedt-evidence-electromagneticsType 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 aedt-evidence-electromagnetics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub aedt-evidence-electromagnetics --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/Ansys/aedt-evidence-electromagnetics .agents/skills/aedt-evidence-electromagnetics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aedt-evidence-electromagnetics" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics into .agents/skills/aedt-evidence-electromagnetics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aedt-evidence-electromagnetics", 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 aedt-evidence-electromagnetics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub aedt-evidence-electromagnetics --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/Ansys/aedt-evidence-electromagnetics .cursor/skills/aedt-evidence-electromagnetics && 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 "aedt-evidence-electromagnetics" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics into .cursor/skills/aedt-evidence-electromagnetics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aedt-evidence-electromagnetics", 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/Ansys/aedt-evidence-electromagnetics--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 aedt-evidence-electromagnetics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub aedt-evidence-electromagnetics --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/Ansys/aedt-evidence-electromagnetics .gemini/skills/aedt-evidence-electromagnetics && 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 "aedt-evidence-electromagnetics" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics into .gemini/skills/aedt-evidence-electromagnetics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aedt-evidence-electromagnetics", 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 aedt-evidence-electromagneticsInstalls 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 aedt-evidence-electromagnetics -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/Ansys/aedt-evidence-electromagnetics .github/skills/aedt-evidence-electromagnetics && 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 "aedt-evidence-electromagnetics" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics into .github/skills/aedt-evidence-electromagnetics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aedt-evidence-electromagnetics", 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 aedt-evidence-electromagnetics -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 aedt-evidence-electromagnetics --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/Ansys/aedt-evidence-electromagnetics .opencode/skills/aedt-evidence-electromagnetics && 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 "aedt-evidence-electromagnetics" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics into .opencode/skills/aedt-evidence-electromagnetics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aedt-evidence-electromagnetics", 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.
aedt-evidence-electromagneticsEvidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.
Aedt Evidence Electromagnetics is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Use when Codex must check AEDT/PyAEDT, create or run a real AEDT design, verify the selected design and solution type, extract fields or matrices, export an .aedt project, or distinguish direct PyAEDT work from an AEDT MCP bridge.
Its SKILL.md is about 590 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 works with Model Context Protocol. The licence is MIT.
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 (its code samples are powershell).
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.
Aedt Evidence Electromagnetics loads about 591 tokens when it runs, and up to ~927 if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 199 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). 199 words, ~591 tokens.
.claude/skills/aedt-evidence-electromagnetics/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Use the repository toolbox and a user-owned AEDT installation. Never infer a
successful electromagnetic solve from ansysedt.exe, a project file, or a
geometry screenshot.
ai-cae-toolbox context-scope --solver aedt
ai-cae-toolbox bridge-plan --solver aedt --objective "<objective>"
ai-cae-toolbox create-run --solver aedt --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver aedt --run-dir <run-dir>If MCP is available, prefer:
aedt_check_installationaedt_run_pyaedt_script_filescan_run_evidencegenerate_run_reportKeep scripts in scripts/, source parameters in inputs/, project outputs in
outputs/, and field plots/tables in exports/. Make every geometry dimension,
material, excitation, boundary, setup, and sweep explicit.
For Maxwell matrix work, audit winding polarity and reciprocity. For HFSS, audit ports, modes, radiation boundaries, frequency setup, adaptive convergence, and S-parameter passivity. Read references/acceptance-gates.md before interpreting solver output.
Collect the AEDT project, solver/adaptive log, mesh statistics, numeric CSV/JSON, field images, and a report. Clearly label any external circuit calculation or Python-derived plot that is not a native AEDT result.
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
SKILL.md and 2 other files (references) in Skill/Ansys/aedt-evidence-electromagnetics of Cai-aa/CAE-Agent-Hub.
Open the folder on GitHubat commit 194ef49
Aedt Evidence Electromagnetics 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 |
|---|---|---|---|---|---|---|
| Aedt Evidence Electromagnetics this skillCai-aa/CAE-Agent-Hub | 1k | — | ~591 | 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 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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.
warpdotdev/warp
Required groundwork before any use_figma call: the rules and reference files for running JavaScript in a Figma file through the Plugin API without common failures.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
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 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.
Cai-aa/CAE-Agent-Hub
Apply forces and pressures to structures. An agent skill from Cai-aa/CAE-Agent-Hub.
Works with
Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Aedt Evidence Electromagnetics is an agent skill from Cai-aa/CAE-Agent-Hub. Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows.
Aedt Evidence Electromagnetics fits situations like: Codex must check AEDT/PyAEDT; run a real AEDT design; verify the selected design and solution type; export an .aedt project.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a claude-code`. Or copy the skill folder (Skill/Ansys/aedt-evidence-electromagnetics in Cai-aa/CAE-Agent-Hub) into .claude/skills/aedt-evidence-electromagnetics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a codex`. Or copy the skill folder (Skill/Ansys/aedt-evidence-electromagnetics in Cai-aa/CAE-Agent-Hub) into .agents/skills/aedt-evidence-electromagnetics 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 aedt-evidence-electromagnetics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aedt-evidence-electromagnetics, .gemini/skills/aedt-evidence-electromagnetics, .github/skills/aedt-evidence-electromagnetics and .opencode/skills/aedt-evidence-electromagnetics in your project.
SKILL.md names no scripts, command-line tools or credentials: Aedt Evidence Electromagnetics 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.
Aedt Evidence Electromagnetics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 591 tokens (SKILL.md is roughly 2.4k 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 336 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Aedt Evidence Electromagnetics: 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 Figma use_figma Plugin API Rules (warpdotdev/warp, 65k 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.