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 CalculiX modal analysis (FREQUENCY steps) — natural frequencies and mode shapes via the CalculiX MCP.
$ npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-modal-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-modal-analysis --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-modal-analysis .claude/skills/calculix-modal-analysis && 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-modal-analysis" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-modal-analysis into .claude/skills/calculix-modal-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-modal-analysis", 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-modal-analysisType 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-modal-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-modal-analysis --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-modal-analysis .agents/skills/calculix-modal-analysis && 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-modal-analysis" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-modal-analysis into .agents/skills/calculix-modal-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-modal-analysis", 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-modal-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-modal-analysis --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-modal-analysis .cursor/skills/calculix-modal-analysis && 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-modal-analysis" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-modal-analysis into .cursor/skills/calculix-modal-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-modal-analysis", 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-modal-analysis--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-modal-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Cai-aa/CAE-Agent-Hub calculix-modal-analysis --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-modal-analysis .gemini/skills/calculix-modal-analysis && 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-modal-analysis" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-modal-analysis into .gemini/skills/calculix-modal-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-modal-analysis", 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-modal-analysisInstalls 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-modal-analysis -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-modal-analysis .github/skills/calculix-modal-analysis && 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-modal-analysis" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-modal-analysis into .github/skills/calculix-modal-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-modal-analysis", 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-modal-analysis -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-modal-analysis --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-modal-analysis .opencode/skills/calculix-modal-analysis && 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-modal-analysis" agent skill from https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/calculix/calculix-modal-analysis into .opencode/skills/calculix-modal-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calculix-modal-analysis", 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-modal-analysisWorkflow skill for CalculiX modal analysis (FREQUENCY steps) — natural frequencies and mode shapes via the CalculiX MCP.
Calculix Modal Analysis is an agent skill from Cai-aa/CAE-Agent-Hub. Workflow skill for CalculiX modal analysis (FREQUENCY steps) — natural frequencies and mode shapes via the CalculiX MCP. readresults returns the frequency table; exportresults with mode=N renders that mode shape in the browser viewer. Use when an agent must extract natural frequencies, check resonance margins, or visualize mode shapes on an open-source solver.
Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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.
Calculix Modal Analysis loads about 749 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 347 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). 347 words, ~749 tokens.
.claude/skills/calculix-modal-analysis/SKILL.md (or your agent's skills folder).Free-vibration eigenanalysis on a CalculiX deck: a *FREQUENCY step requests N
eigenpairs; ccx prints the eigenvalue table and per-mode eigenvectors to the
.dat, so both frequencies and mode shapes parse from text (no .frd needed).
Use when an agent must extract natural frequencies, check resonance/vibration
margins, or visualize mode shapes on a CalculiX model. Driven by the same MCP
tools as static runs (run_solver → read_results → export_results).
Not for: static stress/deflection (use calculix-fem), transient/dynamic
response (not yet supported), or sizing optimization (calculix-sizing-optimization).
*DENSITY under its *MATERIAL — frequencies need
mass; without density ccx fails the eigenvalue solve.*FREQUENCY with the wanted mode count on its data
line, and *NODE PRINT, NSET=<all> / U so eigenvectors reach the .dat.
No load is applied (free vibration); keep the *BOUNDARY clamp set.run_solver_tool — submit the deck. Note: a *FREQUENCY run writes a
header-only .sta (no increments in an eigenvalue solve); success
accepts a non-empty .dat instead, so this is normal, not a failure.read_results_tool — returns frequencies as
[{mode, eigenvalue, freq_rad_s, freq_hz}] and n_modes (a doubly
symmetric section gives degenerate pairs — f1 = f2 — which is expected).export_results_tool with mode=N — writes result_mesh.json holding
that mode's eigenvector as a stress-free displacement field; the viewer
renders the mode shape with its usual auto-scaled deformation..inp (commonly mm-t-s-MPa → frequencies in Hz).MCP/CalculiX/examples/cantilever_modal.inp is the public cantilever benchmark
with a 5-mode *FREQUENCY step. ccx gives f1 = f2 ~ 502 Hz (degenerate bending
pair on the square section) vs the Euler-Bernoulli hand calc ~ 464 Hz (+8%,
C3D8 shear locking). Mode 1 exports straight into the viewer as the classic
half-sine bend.
© 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-modal-analysis of Cai-aa/CAE-Agent-Hub.
Open the folder on GitHubat commit 194ef49
Calculix Modal Analysis 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 Modal Analysis this skillCai-aa/CAE-Agent-Hub | 1k | — | ~749 | 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 | 5 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 | 8.4k | 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.
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Run, diagnose, reproduce, and validate ANSYS Fluent CFD simulations of forced-convection autoclaves using Fluent MCP or PyFluent.
Works with
Workflow skill for CalculiX modal analysis (FREQUENCY steps) — natural frequencies and mode shapes via the CalculiX MCP. Calculix Modal Analysis is an agent skill from Cai-aa/CAE-Agent-Hub. Workflow skill for CalculiX modal analysis (FREQUENCY steps) — natural frequencies and mode shapes via the CalculiX MCP.
Calculix Modal Analysis fits situations like: an agent must extract natural frequencies; check resonance margins; visualize mode shapes on an open-source solver.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-modal-analysis -a claude-code`. Or copy the skill folder (Skill/calculix/calculix-modal-analysis in Cai-aa/CAE-Agent-Hub) into .claude/skills/calculix-modal-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Cai-aa/CAE-Agent-Hub --skill calculix-modal-analysis -a codex`. Or copy the skill folder (Skill/calculix/calculix-modal-analysis in Cai-aa/CAE-Agent-Hub) into .agents/skills/calculix-modal-analysis 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-modal-analysis -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-modal-analysis, .gemini/skills/calculix-modal-analysis, .github/skills/calculix-modal-analysis and .opencode/skills/calculix-modal-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Calculix Modal Analysis 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 Modal Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 749 tokens (SKILL.md is roughly 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 Modal Analysis: 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 1,003 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.