matlab-review-code
Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards. Uses check_matlab_code and matlab_coding_guidelines. Use when reviewing code, checking style, finding code smells, assessing quality, or preparing code for handoff or publication.
npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-code --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Code Review Systematically review MATLAB code for quality, correctness, performance, and adherence to MathWorks coding conventions using static analysis and manual inspection patterns. ## When to Use - User asks to review, audit, or improve code quality - User wants to check adherence to MathWorks coding standards - Preparing code for handoff, publication, or open-source release - After a significant implementation — verify before committing - User reports "code smells" or asks for cleanup suggestions ## When NOT to Use - User wants to debug a runtime error — use `matlab-debugging` instead - User wants to optimize performance — use performance profiling skills - User wants to generate tests — use `matlab-testing` instead ## Workflow 1. **Run static analysis** — Use `check_matlab_code` MCP tool on all target files 2. **Load coding standards** — Read the `matlab_coding_guidelines` MCP resource 3. **Check naming** — Verify functions, classes, variables, and files follow conventions 4. **Review function signatures** — Arguments blocks, input/output counts, name-value patterns 5. **Assess structure** — Function length, nesting depth, complexity 6. **Check patterns** — Vectorization, p
- When to Use
- When NOT to Use
- Workflow
- Step 1: Static Analysis
- Step 2: Load Coding Standards
- Review Checklist
- Naming
- Function Quality
- Code Patterns
- High-Severity Flags
- What checkcode Misses
- Patterns
- Complexity Assessment
- Check Toolbox Dependencies
What does the matlab-review-code skill do?
Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards. Uses check_matlab_code and matlab_coding_guidelines. Use when reviewing code, checking style, finding code smells, assessing quality, or preparing code for handoff or publication.
How do I install it?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-review-code --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From matlab/matlab-agentic-toolkit, a repository with 868 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.