matlab-review-code

What problem does it solve?

This Skill helps you identify issues in MATLAB code quality and maintainability—such as violations of MathWorks coding conventions, risky patterns, and structural problems—before they become bugs, performance regressions, or hard-to-maintain code.

Core Features & Use Cases

• Automated static analysis: Runs check_matlab_code on target files to surface warnings and errors early.
• Standards-aligned review: Loads matlab_coding_guidelines from the MCP resource as the baseline for naming, formatting, and structure.
• Consistency and code-smell detection: Checks naming conventions, function signatures (including arguments blocks and name-value patterns), structural complexity, and common modern vs. legacy patterns.
• Practical handoff reporting: Produces a severity-focused summary (errors > warnings > suggestions) suitable for code review, cleanup, and publication readiness.
• Use Case: Review a MATLAB function before handoff by running static analysis across a folder, then validating that public APIs use arguments blocks and modern patterns (e.g., datetime, tiledlayout) rather than legacy constructs.

Quick Start

Ask your AI agent to review the MATLAB files in your project for quality, coding-standard compliance, and code smells using matlab-review-code.