matlab-skills

MATLAB Skills for Coding Agents

A collection of Agent Skills for MATLAB development using coding agents. Skills are specialized instruction sets that extend the capabilities of coding agents for specific tasks, automatically activating when needed.

What are Skills?

Skills are modular, portable capabilities that work across coding agents:

• Composable: Skills stack together automatically when needed
• Efficient: Only load when relevant to your current task
• Powerful: Combine instructions with executable code for reliable results

Available Skills

MATLAB Live Script Generator

Skill ID: matlab-live-script

Creates properly formatted MATLAB plain text Live Scripts (.m files) with rich text documentation, equations, and visualizations. Automatically handles:

• Section formatting with %[text] markers
• LaTeX equation rendering with double backslashes
• Bulleted lists with proper termination
• Required appendix formatting
• Plot and figure management
• Code and documentation integration

When it activates: Creating MATLAB scripts, educational content, Live Scripts, or .m files with documentation.

MATLAB Test Creator

Skill ID: matlab-test-creator

Creates unit tests using the MATLAB Testing Framework. Generates test classes, test methods, and test suites following best practices:

• Class-based test structure with matlab.unittest.TestCase
• Proper test method naming and organization
• Comprehensive assertion methods (verifyEqual, verifyError, etc.)
• Parameterized tests for data-driven testing
• Setup and teardown methods for test fixtures
• Test tagging and selective execution
• Mock objects and stubs for dependency isolation

When it activates: Generating test files, test cases, unit tests, test suites, or when testing MATLAB code is requested.

MATLAB Test Execution

Skill ID: matlab-test-execution

Runs MATLAB tests, analyzes results, collects code coverage, and configures CI/CD pipelines:

• Running and filtering test suites with runtests
• Analyzing test results and diagnosing failures
• Code coverage collection and gap identification
• CI/CD integration with buildtool and buildfile.m
• GitHub Actions, Azure DevOps, and GitLab CI configurations

When it activates: Executing tests, filtering test suites, debugging test failures, generating coverage reports, or configuring CI/CD for MATLAB projects.

MATLAB Performance Optimizer

Skill ID: matlab-performance-optimizer

Optimizes MATLAB code for better performance through vectorization, memory management, and profiling guidance:

• Vectorization of loops and operations
• Array preallocation strategies
• Memory optimization techniques (data types, sparse matrices)
• Profiling and benchmarking workflows
• Built-in function usage over manual implementations
• Parallel computing with parfor and GPU arrays
• Algorithm-specific optimizations
• Performance pitfall identification

When it activates: User requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.

MATLAB uihtml App Builder

Skill ID: matlab-uihtml-app-builder

Builds interactive web applications using HTML/JavaScript interfaces with MATLAB computational backends via the uihtml component:

• Bidirectional HTML-MATLAB communication patterns
• Event handling and data transfer strategies
• Security and input validation best practices
• Complete working examples (calculator, visualizer, forms)
• Modern UI design with CSS styling
• Error handling and debugging techniques
• Performance optimization for web apps
• Testing strategies for HTML/MATLAB integration

When it activates: Creating HTML-based MATLAB apps, JavaScript MATLAB interfaces, web UIs, interactive GUIs, or when user mentions uihtml, HTML, JavaScript, web apps, or web interfaces.

MATLAB Digital Filter Design

Skill ID: matlab-digital-filter-design

Designs and validates digital filters in MATLAB using Signal Processing Toolbox and DSP System Toolbox:

• FIR and IIR filter design (lowpass, highpass, bandpass, bandstop, notch)
• Architecture selection guidance (single-stage vs efficient alternatives)
• designfilt() workflow with proper sample rate handling
• Filter Analyzer for visual comparison of designs
• Multirate and multistage filter optimization for narrow transitions
• Streaming (causal) vs offline (batch) mode support
• Zero-phase filtering with filtfilt() for offline processing
• Numerical verification of passband ripple and stopband attenuation

When it activates: Cleaning up noisy signals, removing interference, filtering signals, designing FIR/IIR filters, or comparing filters in Filter Analyzer.

Installation & Usage

Claude Code (CLI)

Recommended: Install all MATLAB agent skills using the plugin marketplace:

# (Step 1) Add the marketplace to Claude Code
/plugin marketplace add matlab/skills