What problem does it solve? Writing correct MATLAB or GNU Octave code for matrix operations, data analysis, plotting, and simulations requires deep knowledge of syntax, function names, and environment differences, which slows down scientific and engineering work. ## Core Features & Use Cases - Numerical Computing Guidance: Covers matrix operations, linear algebra, ODE solving, optimization, statistics, signal processing, and interpolation with ready-to-use code patterns. - Visualization and Data I/O: Provides 2D/3D plotting, figure export, and file import/export recipes for CSV, Excel, MAT files, and images. - MATLAB/Octave Compatibility: Documents syntax differences and portability rules so scripts run in both MATLAB and the free GNU Octave interpreter. - Use Case: A researcher needs to fit a curve to experimental CSV data, solve a differential equation, and export a publication-quality figure; the Skill supplies the exact commands and script structure to do it. ## Quick Start Ask the assistant to write a MATLAB script that loads your CSV data, fits a polynomial curve, and saves the resulting plot as a PNG file.