Individual skill

matlab

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.

skills/matlab/SKILL.md

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Last checked: Nov 10, 2026

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Repository stars (not skill ratings): 56,735
Repository last updated: Nov 9, 2026
License: MIT

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SKILL.mdcore · 16,551 bytes
SKILL.mdcore · 16,551 bytes
SKILL.mdcore · 16,551 bytes
SKILL.mdcore · 16,551 bytes
assets/project_manifest_template.jsonasset · 723 bytes
assets/python_compatibility_r2026a.jsonasset · 786 bytes
assets/reproducibility_manifest_template.jsonasset · 787 bytes
references/data-import-export.mddoc · 9,763 bytes
references/executing-scripts.mddoc · 10,420 bytes
references/graphics-visualization.mddoc · 7,480 bytes
references/mathematics.mddoc · 8,572 bytes
references/matrices-arrays.mddoc · 8,485 bytes
references/octave-compatibility.mddoc · 8,523 bytes
references/programming.mddoc · 10,891 bytes
references/python-integration.mddoc · 10,958 bytes
scripts/_common.pyruns · 8,798 bytes
scripts/generate_function_scaffold.pyruns · 4,955 bytes
scripts/inventory_mat_file.pyruns · 12,537 bytes
scripts/plan_batch_command.pyruns · 9,866 bytes
scripts/plan_python_compatibility.pyruns · 6,566 bytes
scripts/reproducibility_report.pyruns · 7,966 bytes
scripts/scan_m_code.pyruns · 13,951 bytes
scripts/validate_project_manifest.pyruns · 12,255 bytes

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# MATLAB and GNU Octave

Use this skill to design or review numerical code, migrate MATLAB releases,
prepare reproducible projects, and plan trusted execution. MATLAB and GNU
Octave are distinct products: compatibility is partial, not a license or
behavior guarantee.

## Review scope

Reviewed against current MathWorks R2026b documentation and GNU Octave 11.3.0
sources on 2026-10-01. The bundled Engine planner and MATLAB examples retain
an explicit R2026a baseline. R2026b supports CPython 3.10-3.14; do not reuse
the R2026a Engine package for it. MATLAB/Octave examples are illustrative and
were not executed in this review; the Python helpers have local synthetic tests.