matlab

combined

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability. 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.

When to use

design or review numerical code
migrate MATLAB releases
prepare reproducible projects
plan trusted execution
arrays, tabular/time data
tests, projects, graphics
MAT files
explicit Python interoperability

When not to use

running untrusted .m, .mlx, MEX binary, MAT file, project startup or shutdown action, package installer, or generated artifact
using Python pickle for exchange

Skill page

Conflict

The K-Dense-AI copy is a distinct, more rigorous procedure focused on review, migration, safety, and provenance, while the other two copies are near-identical quick-reference guides for writing MATLAB/Octave scripts. The K-Dense copy adds material steps (clarify target, static inventory, safety boundary, execution plan, provenance) and constraints (license gate, no untrusted execution) that the others lack. The other two copies add a routing boundary (foryourhealth111) and a broader set of code examples (zLanqing/foryourhealth111) that the K-Dense copy does not include. Crowning one would hide a real alternative workflow.