Can this skill run MATLAB code?

The skill provides the scripts and commands necessary to execute tasks, which can then be run using your local MATLAB installation or the open-source GNU Octave interpreter via the terminal.

Does it support 3D plotting?

Yes, it provides implementation patterns for complex visualizations, including 3D surface plots, meshgrids, and custom graphical annotations.

Is it compatible with GNU Octave?

Yes, the skill is specifically designed to support both MATLAB and Octave syntax, including guidance on package loading and compatibility differences between the two.

Can it help convert MATLAB to Python?

Yes, it includes specific capabilities for handling MATLAB syntax and providing equivalent Python code, making it easier to migrate scientific workflows.

How does it handle large datasets?

The skill emphasizes best practices like vectorization and preallocation to ensure that generated scripts handle large-scale numerical data efficiently.

MATLAB & Octave Scientific Computing

Name: MATLAB & Octave Scientific Computing
Author: MAF2414

byMAF2414

Data Science & ML

Provides specialized support for MATLAB and GNU Octave numerical computing, matrix operations, and scientific visualization.

About

This skill equips Claude with deep expertise in MATLAB and GNU Octave environments, enabling the generation, optimization, and debugging of scripts for complex mathematical tasks. It covers everything from fundamental matrix algebra and signal processing to advanced differential equation solving and data visualization. Whether you are performing high-level data analysis, conducting scientific research, or porting code between MATLAB and Python, this skill ensures industry-standard implementation patterns and best practices for numerical stability and performance.

Key Features

0 GitHub stars
High-quality 2D and 3D scientific visualization generation
Cross-compatibility guidance between MATLAB and GNU Octave
Comprehensive support for matrix operations and linear algebra
Advanced numerical analysis including ODE solvers and signal processing
Seamless data import/export for CSV, MAT, and image files

Use Cases

Developing complex simulations for engineering or physics research
Automating data processing pipelines and statistical analysis
Converting legacy MATLAB scripts into modern Python or NumPy implementations

About

Key Features

0 GitHub stars
High-quality 2D and 3D scientific visualization generation
Cross-compatibility guidance between MATLAB and GNU Octave
Comprehensive support for matrix operations and linear algebra
Advanced numerical analysis including ODE solvers and signal processing
Seamless data import/export for CSV, MAT, and image files

Use Cases

Developing complex simulations for engineering or physics research
Automating data processing pipelines and statistical analysis
Converting legacy MATLAB scripts into modern Python or NumPy implementations