MATLAB / Octave (Claude Skill)

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.

   
Type Claude Skill
Supplier K-Dense Inc. (community OSS)
Availability GA — part of the actively maintained K-Dense scientific-agent-skills collection
Pricing Free / OSS (For MATLAB (https://www.mathworks.com/pricing-licensing.html) and for Octave (GNU General Public version 3))
Capabilities Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

  • Also packaged in the SciAgent-Skills collection (jaechang-hits (community OSS, CC BY 4.0)): clone jaechang-hits/SciAgent-Skills and run /plugin install sciagent-skills in Claude Code (or copy skills/scientific-computing/matlab-scientific-computing into ~/.claude/skills/).
  • Claude Code / Claude.ai — Skills CLI (recommended):
    npx skills add K-Dense-AI/scientific-agent-skills
    

    Installs the K-Dense collection; enable the matlab skill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18).

  • Claude Code / Claude Desktop — manual clone:
    git clone https://github.com/K-Dense-AI/scientific-agent-skills
    cp -r scientific-agent-skills/skills/matlab ~/.claude/skills/
    

    Project-scoped alternative: copy into .claude/skills/ instead of ~/.claude/skills/. The skill declares its own Python dependencies in its SKILL.md; install them (the K-Dense skills generally use uv / pip) when prompted on first use.

What it does

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

Primary use cases: writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations.

Notes

Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: For MATLAB (https://www.mathworks.com/pricing-licensing.html) and for Octave (GNU General Public version 3). The skill name to enable after install is matlab.

Sources


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