Coding standards, frameworks, refactoring, and code review (18.8K skills)
Build or import MATLAB rigidBodyTree models for robot arms, attach grippers, visualize configurations, and calculate forward or inverse kinematics. The skill emphasizes checking solver convergence, pose error, and joint continuity when validating solutions.
Plan robot arm paths between joint configurations or poses, then turn them into trajectories with velocity and acceleration limits. It supports collision checking against workspace geometry and helps choose among RRT, CHOMP, and trajectory generation methods for different motion needs.
Build and simulate UAV scenarios in MATLAB with terrain, buildings, platforms, and attached sensors. The skill covers importing scene meshes, configuring UAV platforms and GPS or IMU sensor adaptors, advancing the simulation in time steps, and visualizing the flight in 3D.
Export MATLAB PCB designs as Gerber and drill files for fabrication. Add RF connector footprints and choose a writer for supported board services, with settings such as file naming and coordinate units. The result is a manufacturing output folder or archive.
Turn MATLAB monitoring scripts into operator dashboards for industrial systems. Build plant, area, and detail screens with live data, alarms, trends, and confirmed setpoint writes, following conventions that help operators distinguish normal readings from conditions requiring attention.
Create a MATLAB add-on that lets MATLAB communicate with an Arduino sensor or peripheral the standard support package does not cover. The skill guides library checks, setup, MATLAB and C++ code, and verification.
Configure properties of Simulink scope blocks and MATLAB scope objects through documented public APIs. The skill checks which properties are available, applies supported changes, and directs users to the scope window when a setting cannot be changed programmatically.
Create MATLAB workflows that capture RF data on NI USRP radios only when a signal is detected. Choose energy detection for rising signal power or preamble detection to match a known sequence, then scan frequencies or tune detection thresholds.
Design and analyze PCB transmission lines such as microstrip, stripline, coplanar waveguide, and differential pairs. Use MATLAB to size traces for a target impedance, calculate per-unit-length electrical parameters, and examine coupling and crosstalk between traces.
Design RF filters in MATLAB for selecting frequency bands or rejecting unwanted signals. Choose topologies such as hairpin, coupled-line, combline, stub, and SIW, inspect responses, and extract a filter model from measured S-parameter data.
Design passive RF circuit parts in MATLAB, including spiral inductors, capacitors, baluns, resonators, and phase shifters. Set component dimensions, estimate electrical properties, explore behavioral models, and prepare designs for analysis or optimization.
Configure dielectric substrates, metal conductors, multilayer stackups, and frequency-dependent loss models for RF PCB simulations in MATLAB. Use catalog materials or define custom properties before creating dielectric or metal objects for a board or component.
Set up CAN or CAN FD communication in MATLAB, from finding supported hardware and configuring channels to sending, receiving, filtering, and decoding messages. The skill also guides bus monitoring and analysis, with vendor and platform differences taken into account.
Import PCB and IC package layouts into MATLAB, then inspect their nets, layers, components, stackups, and shapes. The skill helps choose the right reader for Gerber, ODB++, Allegro, and native files, and explains how to query the imported design.
Use this skill to find MATLAB-supported hardware that is connected, search devices by capabilities such as CAN or analog input, and inspect a device's capabilities and required add-on installation state. It helps with discovery and setup checks before device-specific work.
Turn MATLAB code from the current conversation into a documented, runnable `.m` script. The skill keeps the final successful versions, arranges code into workflow sections, gathers parameters near the top, and saves the result in a `Results` folder.
Translate NI-DAQmx C function signatures into MATLAB calls with `calldaqlib`, including how to handle implicit task handles, output buffers, enums, and returned values. Use it when adapting existing C or LabVIEW code or accessing driver features outside the daq object, with Data Acquisition Toolbox R2026a or later.
Generate 3GPP-compliant 5G NR downlink or uplink baseband waveforms in MATLAB. Configure channels, bandwidth, subcarrier spacing, and modulation to create custom signals or test model and reference channel waveforms for measurement and conformance testing.
Design and simulate a MATLAB digital down converter using `dsphdl` streaming components, including an NCO, mixer, and decimation filters. Handle integer or fractional rate changes and generate synthesizable Verilog or VHDL with HDL Coder.
Design and study antennas, PCB antennas, and arrays with MATLAB Antenna Toolbox. Explore radiation patterns and electrical performance, compare designs, use supported AI-assisted exploration, optimize dimensions, and export PCB designs for fabrication.
Prepare MATLAB parallel pool workers with paths, environment variables, connections, libraries, or data before parallel work begins. The guidance helps manage per-worker resources and setup, and modernize spmd-based setup patterns for parfor and parfeval workflows.
Try a thread-based MATLAB parallel pool when local `parfor`, `parfeval`, or `spmd` runs slowly, especially when large data transfers or process-pool startup add overhead. It explains how to test thread compatibility, interpret errors, and make Threads the persistent default.
Inspect a specified MATLAB installation folder and list the installed products and support packages. Use it to check whether a particular toolbox or package is present, or to review the installation contents for a given MATLAB release.
Diagnose MATLAB `parfor` errors by running the code analyzer, matching its messages to variable classification issues, and applying focused fixes. Use it to repair a loop or convert a `for` loop while preserving its results, then verify the changes with the analyzer.