skills MCP — Casos de uso, Instalar & Demo ao vivo

Name: skills MCP Server
Author: matlab

Por que usar

Principais recursos

Official: maintained by MathWorks
Covers core MATLAB language plus common toolboxes
Encodes MATLAB Projects and unit-test conventions
Performance guidance: vectorization, preallocation, profiling
Works with Claude Code and other skill-compatible agents

Demo ao vivo

Como fica na prática

skills-skill-4.replay ▶ pronto

0/0

Instalar

Escolha seu cliente

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "skills-skill-4": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/matlab/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Abra Claude Desktop → Settings → Developer → Edit Config. Reinicie após salvar.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "skills-skill-4": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/matlab/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Cursor usa o mesmo esquema mcpServers que o Claude Desktop. Config de projeto vence a global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "skills-skill-4": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/matlab/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Clique no ícone MCP Servers na barra lateral do Cline, depois "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "skills-skill-4": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/matlab/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Mesmo formato do Claude Desktop. Reinicie o Windsurf para aplicar.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "skills-skill-4",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/matlab/skills",
        "~/.claude/skills/skills"
      ]
    }
  ]
}

O Continue usa um array de objetos de servidor em vez de um map.

~/.config/zed/settings.json

{
  "context_servers": {
    "skills-skill-4": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/matlab/skills",
          "~/.claude/skills/skills"
        ]
      }
    }
  }
}

Adicione em context_servers. Zed recarrega automaticamente ao salvar.

claude mcp add skills-skill-4 -- git clone https://github.com/matlab/skills ~/.claude/skills/skills

Uma linha só. Verifique com claude mcp list. Remova com claude mcp remove.

Casos de uso

Usos do mundo real: skills

How to get Claude to write idiomatic MATLAB, not MATLAB-flavored Python

👤 MATLAB developers who noticed Claude defaulting to loops everywhere ⏱ ~25 min intermediate

Quando usar: Any MATLAB authoring task — from scripts to toolboxes.

Pré-requisitos

MATLAB R2023b+ recommended — mathworks.com/products/matlab.html
Skill cloned — git clone https://github.com/matlab/skills ~/.claude/skills/skills

Fluxo

Describe the task

Write a function that computes the moving-window correlation of two time series — MATLAB, idiomatic.✓ Copiado

→ Vectorized implementation, correct function signature, docstring
Ask for tests

Add MATLAB unit tests using matlab.unittest.✓ Copiado

→ Tests in a separate file following MATLAB Test conventions
Profile

If this is called in a tight loop, how would you profile and speed it up?✓ Copiado

→ tic/toc or profile() suggestions, preallocation hints

Resultado: Idiomatic, fast, tested MATLAB code.

Armadilhas

Claude reaches for Python-style loops — Explicitly ask for vectorized form; reference MATLAB docs style

Combine com: filesystem

Port a Python/NumPy script to MATLAB correctly

👤 Engineers moving research code into a MATLAB pipeline ⏱ ~30 min intermediate

Quando usar: You have a NumPy prototype and need a clean MATLAB equivalent.

Fluxo

Share the Python

Port this NumPy script to MATLAB. Preserve numerical behavior — flag where semantics differ.✓ Copiado

→ Translated code + explicit notes on 1-indexing, broadcasting, default dtypes
Verify with a test

Write a side-by-side test that shows both produce the same outputs on known inputs.✓ Copiado

→ A small cross-check script

Resultado: MATLAB port with documented semantic differences.

Armadilhas

Off-by-one from zero- vs one-indexing — Claude should call these out; if not, re-ask

Combinações

Combine com outros MCPs para 10× de alavancagem

skills-skill-4 + filesystem

Work across a MATLAB Projects folder structure

Read +mytools/, add a new function, and update the tests package.✓ Copiado

skills-skill-4 + github

Open PRs for MATLAB codebases with proper test coverage

Open a PR that adds the new function + tests.✓ Copiado

Ferramentas

O que este MCP expõe

Ferramenta	Entradas	Quando chamar
matlab-authoring	task description	Any MATLAB task
matlab-testing	function under test	After authoring
perf-guidance	slow code + context	When something is too slow

Custo e limites

O que custa rodar

Cota de API: none
Tokens por chamada: ~3–10k per task
Monetário: free; MATLAB license sold separately
Dica: Constrain to a specific toolbox when asking — reduces context

Segurança

Permissões, segredos, alcance

Armazenamento de credenciais: none

Saída de dados: none

Solução de problemas

Erros comuns e correções

Generated code uses a toolbox you don't have licensed

Tell Claude which toolboxes are available.

Verificar: ver in MATLAB

Script errors in older MATLAB

Specify your MATLAB release; skill adapts suggestions.

Verificar: version in MATLAB

Alternativas

skills vs. outros

Alternativa	Quando usar	Troca
jupyter	You're really doing Python science and only occasionally MATLAB	Different ecosystem

Mais

Recursos

📖 Leia o README oficial no GitHub

🐙 Ver issues abertas

🔍 Ver todos os 400+ servidores MCP e Skills