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.
Use this skill when the task matches the description above or the source path clearly applies. Start with this concise entrypoint; open ../../../../../skills/by-category/science-research-data-analysis/latest-release-community/matlab/SKILL.md only when implementation details, commands, assets, or references are needed.
AGENTS.md; use one AI session only.../../../../../skills/by-category/science-research-data-analysis/latest-release-community/matlab/SKILL.mdeb20fb0dcb0b1dadaa3db2737188f0755bbc4770docs/benchmark-results.md0skill-proof-k-dense-ai-scientific-agent-skills-scientific-skills-matlab-skill-md, , , science-research-and-data-analysis-cellxgene-censusscience-research-and-data-analysis-chemblscience-research-and-data-analysis-ome-ngff-samplesDo not claim this skill passed a runtime benchmark until a validated artifact exists.