matlab.
181 skills across 3 repos
- 100/100
agent-skill-author
Use this skill when the user wants to author, design, scope, or refine an Agent Skill (a SKILL.md file). Trigger phrases include "build a new skill", "design an agent skill", "scope a SKILL.md", "how should I structure this skill", "write a skill for X", "my skill isn't working well", or any request to improve an existing SKILL.md. Walks the user through an empirical, test-first process — probe the agent for real failures, design only for genuine knowledge gaps, iterate against runnable examples, and verify across models.
- 100/100
embedded-ai-deployment
>
- 100/100
matlab-performance-optimizer
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
- 100/100
matlab-project
Use this skill for any work involving a MATLAB Project (.prj file) — creating a new project, tracking files, managing the project path, configuring Simulink cache and code-generation folders, running project health checks, or writing build scripts that keep the project in sync with the file system. Trigger phrases include "set up a MATLAB project", "create a .prj", "track this file in the project", "project health check", "build script conventions". This skill is the generic foundation; domain-specific skills (e.g. `mbse-workflow`) build on it.
- 100/100
matlab-symbolic-math
Generate correct MATLAB code using the Symbolic Math Toolbox. Use when the user asks for symbolic computations, analytical solutions, symbolic differentiation/integration, equation solving, or converting symbolic results to numeric MATLAB functions. Also use when converting differential equations to transfer functions or state-space form.
- 100/100
matlab-uihtml-app-builder
Build interactive web applications using HTML/JavaScript interfaces with MATLAB computational backends via the uihtml component. Use when creating HTML-based MATLAB apps, JavaScript MATLAB interfaces, web UIs with MATLAB, interactive MATLAB GUIs, or when user mentions uihtml, HTML, JavaScript, web apps, or web interfaces.
- 100/100
matlab-uihtml-design
Generate beautiful, distinctive HTML/CSS/JS control panels for MATLAB uihtml components. 8 built-in styles (Clean, Material, Cosmic Dark, Neumorphic, Dashboard Light, Midnight Gradient, Minimal Mono, Warm Dark) plus custom aesthetics. Produces production-grade UI with sliders, buttons, toggles, and panels. Use when building visually polished MATLAB app UIs with uihtml.
- 100/100
mbse-architecture
Use this skill for the architecture phases of an MBSE workflow in MATLAB, when writing idempotent buildXxx.m scripts that produce a three-layer RFLPV architecture (Functional, Logical, Physical) with interface dictionaries, stereotype profiles, allocation sets, and requirements Implement links. Trigger for defining stereotype properties, functional-to-logical / logical-to-physical allocation, mapping requirements to components via slreq Implement links, or running quantitative roll-up analysis on the architecture. Do NOT trigger for ad-hoc structural edits to an already-built System Composer model (adding one component, rewiring a port) — use `building-simulink-models` with `model_edit` for that. Works alongside the `system-composer` skill for detailed SC API patterns.
- 100/100
mbse-workflow
Use this skill for guided MBSE work in MATLAB — starting a new project, resuming work mid-workflow on an existing project, or answering orientation questions about how the MBSE skills fit together. Trigger when the user says they want to create, start, or set up a new MBSE project; work on a model-based systems engineering / RFLPV project; or asks which skill covers which phase. Walks through phases one at a time — propose → approve → generate → run → confirm. Use proactively whenever someone mentions starting or continuing an MBSE project.
- 100/100
simulink-requirements
Use this skill for all requirements-related work in a MATLAB MBSE project using the Requirements Toolbox (slreq). Covers creating and populating requirement sets, derivation links, test case requirements, verification coverage, reading and tracing links across requirement sets and models, checking link health, allocating requirements to components (Implement links), and building traceability reports. Trigger when the user asks about slreq API, slreqx files, slmx link files, outLinks/inLinks, traceability matrices, coverage analysis, broken links, or mapping requirements to architecture components. Use proactively for any requirements or traceability task.
- 100/100
system-composer
Use this skill when authoring reusable, idempotent MATLAB scripts that build System Composer architecture models via the architecture-modeling API — `systemcomposer.createModel`, `addComponent`, `addPort`, `setInterface`, `connect(srcPort, dstPort)`, interface dictionaries (.sldd) with `addInterface`/`addElement`, profiles/stereotypes with `Profile.createProfile` and `addStereotype`, or `systemcomposer.allocation.createAllocationSet`. Also trigger when debugging these APIs (connections that don't appear, interfaces that don't resolve, profile save errors, `createAllocationSet` signature-mismatch errors). Do NOT trigger for ad-hoc structural edits to an already-built model (adding one SubSystem, rewiring a port) — use `building-simulink-models` with `model_edit` for that.
- 100/100
matlab-access-datafeed
>
- 100/100
matlab-add-awgn
Read BEFORE writing any code that adds Additive White Gaussian Noise (AWGN) to signals and converts between SNR, Eb/No, Es/No, and per-subcarrier SNR for communications simulations, using awgn(), convertSNR(), berawgn(). The default MATLAB patterns for AWGN (e.g., 'measured' option, manual SNR formulas) produce subtly incorrect results. This skill specifies the correct calling conventions, required function usage, and critical anti-patterns that must be avoided.
- 100/100
matlab-analyze-ams-waveform
Analyze AMS waveform data using Mixed-Signal Blockset utilities: phase noise measurement, clock jitter, anti-aliased resampling, timing measurements, lock time, INL/DNL, ADC/DAC calibration, HSpice import. Use when analyzing time-domain voltage from PLL/VCO/clock simulations, measuring phase noise from variable-step solver output, computing jitter, or resampling non-uniform data.
- 80/100
matlab-analyze-data
Analyze data using MATLAB. Use when the task involves tables, timetables, time-series data, numeric arrays, sensor matrices, or gridded data — including but not limited to exploring, filtering, sorting, cleaning, transforming, aggregating, smoothing, padding, trimming, and answering questions about data. MATLAB provides extensive, easy-to-use built-in functions for these workflows with no additional products required.
- 100/100
matlab-analyze-dependencies
Analyze the effective toolbox file set to produce a Dependency Manifest — classify all transitive dependencies as included, product, add-on, or external-unresolved, then present resolution options with tradeoffs. Use after matlab-define-toolbox-api when the spec is approved.
- 100/100
matlab-analyze-em
S-parameters, insertion loss, fields, currents, mesh control, and solver selection for RF PCB performance validation. TRIGGER: user asks to compute S-parameters, analyze insertion/return loss, extract fields or currents, compare MoM vs FEM, or control mesh for any RF PCB component. Invoke BEFORE writing sparameters() or solver code — API is non-obvious. SKIP: designing or creating components (use the specific matlab-design-pcb-* skill), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn).
- 100/100
matlab-analyze-installed-antenna
Analyze antennas installed on electrically large conducting platforms using MATLAB Antenna Toolbox. Loads platform geometry from STL/STEP/IGES, installs antenna elements, selects electromagnetic solvers (MoM-PO, FMM, MoM), and computes patterns, impedance, coupling, and efficiency. Use when the user wants to model an antenna on a vehicle, aircraft, ship, satellite, or other large structure.
- 100/100
matlab-analyze-pcb-pdn
PDN DC voltage/current analysis, IR drop, design rule checking, and multi-net batch analysis on imported PCB layouts. TRIGGER: user asks about power integrity, PDN analysis, IR drop, voltage distribution, current density, power nets, or design rule checking on a PCB. Invoke BEFORE writing code — the PDN API chain is specialized and non-obvious. SKIP: importing a PCB file (use matlab-read-pcb-layout), EM field/S-parameter extraction (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material), transmission line design (use matlab-design-pcb-txline).
- 100/100
matlab-analyze-rcs
Calculate and visualize monostatic and bistatic radar cross section (RCS) using MATLAB Antenna Toolbox. Computes RCS of platforms, antennas, and arrays with PO, MoM, and FMM solvers, supporting HH/VV/HV/VH polarization, GPU acceleration, and near-field observation. Use when the user wants to compute, plot, or analyze radar cross section.
- 100/100
matlab-analyze-rf-propagation
Analyze RF propagation and plan wireless sites using MATLAB Antenna Toolbox. Creates transmitter/receiver sites, computes signal strength, coverage maps, SINR, line-of-sight, and ray tracing in geographic or indoor environments. Supports multiple propagation models (free-space, close-in, Longley-Rice, ray tracing, rain/gas/fog), custom terrain, building data, and directional antennas. Use when the user wants to compute coverage, signal strength, path loss, SINR, ray tracing, or plan a wireless network.
- 100/100
matlab-analyze-signal-cwt
>
- 100/100
matlab-assemble-pcb-layout
Build custom PCB structures with pcbComponent, shapes, Boolean ops, feeds, and multi-layer stackups for non-catalog geometries. TRIGGER: user asks to build, modify, or customize a pcbComponent — add/remove shapes, edit polygons, place feeds, add metal layers, cut slots, or create non-catalog RF structures. Also when modifying geometry of an existing catalog-designed component (e.g., adding pads, removing elements, editing vertices). Invoke BEFORE writing pcbComponent code — layer/shape/feed API is non-obvious. SKIP: designing catalog components like filters/couplers/txlines (use the specific matlab-design-pcb-* skill), material/stackup definition only (use matlab-manage-pcb-material), EM analysis (use matlab-analyze-em), importing PCB files (use matlab-read-pcb-layout).
- 100/100
matlab-assess-toolbox
Assess toolbox readiness and suggest improvements — validates help text, tests, coverage, code issues, dependencies, and function signatures. Produces a punch list and can execute fixes via delegate skills on user approval. Use before packaging or when asked to improve a toolbox.
- 100/100
matlab-build-app
>
- 100/100
matlab-build-chart
>
- 100/100
matlab-build-industrial-hmi
>
- 100/100
matlab-build-simbiology-model
Build, modify, and diagram SimBiology models — API reference, helper functions, and layout patterns. Use when constructing or editing models programmatically or visually.
- 100/100
matlab-build-toolbox
Execute the build plan — introspect buildfile.m, run its dependency chain, and produce the .mltbx toolbox package. Mechanical execution with no human checkpoint. Works with any buildplan shape.
- 100/100
matlab-call-nidaqmx
>
- 100/100
matlab-call-python
>
- 100/100
matlab-choose-bigdata-solution
>
- 100/100
matlab-compute-aerospace-environment
>
- 100/100
matlab-compute-gnss-position
>
- 100/100
matlab-configure-scope-object
Prevents crashes due to problematic scope-related API misuse caused by agent escalation into internal scope framework objects. Use when configuring properties of scope-related Simulink blocks or MATLAB objects — constrains the agent to documented APIs and directs users to the scope UI when a property is not programmatically accessible.
- 100/100
matlab-connect-arduino
>
- 90/100
matlab-connect-databricks-jdbc
Connects MATLAB to Databricks using JDBC drivers via Database Toolbox. Use when creating a JDBC connection to a Databricks cluster or SQL Warehouse, configuring Databricks authentication (PAT, OauthU2M, OauthM2M), selecting between Simba and OSS JDBC drivers, using databricks.JDBCConnection, StandaloneJDBCConnection, databricks.SQLWarehouse.connect(), or optimizing Databricks write performance.
- 100/100
matlab-connect-databricks-spark
>
- 100/100
matlab-connect-mavlink
>
- 100/100
matlab-connect-opcua-client
>
- 100/100
matlab-convert-aerospace-coordinates
>
- 100/100
matlab-cosimulate-sumo-simulink
>
- 100/100
matlab-create-ai-antenna
Use AI-based antenna design exploration and 3D pattern reconstruction in MATLAB Antenna Toolbox. AIAntenna provides instant parametric sweeps of catalog antennas via pretrained surrogate models. patternFromAI reconstructs full 3D radiation patterns from two orthogonal 2D slices using AI. Use when the user wants rapid antenna design exploration, instant parameter tuning, or 3D pattern reconstruction from 2D measured/imported data.
- 100/100
matlab-create-buildfile
Generate a MATLAB buildfile.m with tasks for static analysis, testing, coverage reporting, and packaging. Use after matlab-create-project when the project structure is in place and you need repeatable build automation.
- 100/100
matlab-create-custom-antenna
Build custom antennas from geometric shapes using MATLAB Antenna Toolbox customAntenna. Creates arbitrary 2D and 3D antenna structures from shape primitives (shape.Rectangle, shape.Box, shape.Cylinder, etc.) with boolean operations, extrusion, substrate support, and feed creation. Use when the user wants to build a non-catalog antenna from scratch, create a custom geometry, import STL/CAD, or needs 3D structures like waveguides, horns, or cavities.
- 100/100
matlab-create-custom-arduino-library
>
- 100/100
matlab-create-experiment
>
- 100/100
matlab-create-live-script
Create, edit, and run plain-text MATLAB live scripts (.m files) with rich text formatting, LaTeX equations, section breaks, and inline figures. Use when generating tutorials, analysis notebooks, reports, documentation, or educational content, when modifying existing live scripts, or when converting existing binary .mlx files to .m for version control. Requires R2025a+.
- 100/100
matlab-create-measured-antenna
Create measuredAntenna objects from simulated or measured data using MATLAB Antenna Toolbox. Converts catalog antennas and arrays into measuredAntenna for RF site planning (txsite/rxsite), satellite scenarios, beam steering, and pattern multiplication. Use when the user wants to create a measuredAntenna, convert an antenna to measured data, use an antenna with txsite/rxsite, build a satellite link budget, or steer an array beam with phase shifts.
- 100/100
matlab-create-project
|
- 100/100
matlab-create-uav-scenario
>
- 100/100
matlab-debugging
Diagnose MATLAB errors and unexpected behavior. Breakpoints, workspace inspection, try-catch diagnostics, and common error patterns. Use when debugging functions, tracing errors, inspecting variables, or diagnosing runtime failures.
- 100/100
matlab-define-toolbox-api
Scan a folder, triage files into include/exclude, identify the public API, and produce a toolboxSpecification.m Interface Spec — all in one pass. Use when turning loose code into a toolbox.
- 100/100
matlab-deploy-ai-model
>
- 100/100
matlab-deploy-embedded-ai
>
- 90/100
matlab-deploy-embedded-code
>
- 100/100
matlab-design-adaptive-filter
>
- 100/100
matlab-design-antenna
Design and analyze antennas using MATLAB Antenna Toolbox. Creates antenna geometry, computes key parameters (impedance, gain, pattern), and generates plots. Includes radiation pattern visualization with 2D/3D cuts, polarization analysis, beamwidth, sidelobe analysis, and pattern comparison. Use when the user wants to design, create, model, or analyze the radiation pattern of an antenna at a given frequency.
- 100/100
matlab-design-antenna-matching-network
Design impedance matching networks for antennas using MATLAB RF Toolbox matchingnetwork object. Synthesizes L/C topologies (L, Pi, Tee, 2-element, 3-element), ranks designs by return loss or gain, exports to circuit objects, and converts to distributed elements via Richards transformation. Supports antenna objects, sparameters, Touchstone files, and function handles as load impedance. Use when the user wants to match an antenna, design a matching network, improve return loss, or transform impedance.
- 100/100
matlab-design-array
Design and analyze finite and infinite antenna arrays using MATLAB Antenna Toolbox. Finite arrays include linear, rectangular, circular, and conformal types with beam steering, amplitude tapering, mutual coupling, and pattern visualization. Infinite arrays use Floquet boundary conditions for scan impedance, scan element pattern, and scan blindness detection. Use when the user wants to design, create, or analyze any antenna array (finite or infinite/periodic).
- 100/100
matlab-design-digital-filter
>
- 100/100
matlab-design-ofdm-system
Read BEFORE writing any code that builds or simulates OFDM systems. The default MATLAB patterns for OFDM (e.g., direct ifft/fft, awgn with 0 dBW power, missing symOffset) produce subtly incorrect results — always use ofdmmod/ofdmdemod instead of direct IFFT/FFT. This skill specifies the correct calling conventions for ofdmmod, ofdmdemod, ofdmChannelResponse, ofdmEqualize, and critical anti-patterns that must be avoided. Use when building OFDM transmitters or receivers, allocating subcarriers and guard bands, inserting pilots, computing SNR for OFDM, configuring fading channels (Rayleigh/Rician), estimating and equalizing channels, implementing timing and frequency synchronization, adding LDPC coding, designing resource grids, or setting up OFDM link simulations.
- 100/100
matlab-design-pcb-antenna
Design PCB antennas using MATLAB Antenna Toolbox pcbStack. Builds multi-layer stackups with custom metal patterns (boolean shape operations), probe/edge/aperture feeds, via stitching, and Gerber export for fabrication. Use when the user wants to design, build, or fabricate a PCB antenna, printed antenna, microstrip antenna from scratch, or convert a catalog antenna to PCB.
- 100/100
matlab-design-pcb-coupler
Wilkinson, branchline, ratrace, directional couplers, corporate dividers, Rotman lenses for power splitting and beam-forming. TRIGGER: user asks to design, create, or analyze any coupler, splitter, power divider, combiner, or Rotman lens. Invoke BEFORE writing code — class names and design() availability vary per coupler type. SKIP: EM simulation/S-parameter extraction of an existing component (use matlab-analyze-em), building custom non-catalog geometry (use matlab-assemble-pcb-layout), material/stackup setup only (use matlab-manage-pcb-material), cascading multiple components (use matlab-integrate-pcb-circuit).
- 100/100
matlab-design-pcb-filter
Bandpass, lowpass, bandstop filter design — hairpin, coupled-line, combline, stub, SIW for frequency selection and harmonic rejection. TRIGGER: user asks to design, create, or analyze any RF filter (bandpass, lowpass, highpass, bandstop, hairpin, coupled-line, combline, stub, SIW). Invoke BEFORE writing code — filter class names differ from what you would guess. SKIP: EM simulation/S-parameter extraction of an existing filter (use matlab-analyze-em), general PCB layout assembly (use matlab-assemble-pcb-layout), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design).
- 100/100
matlab-design-pcb-passive
Spiral inductors, interdigital capacitors, baluns, resonators, phase shifters for impedance matching, DC blocking, and bias tees. TRIGGER: user asks to design or create a spiral inductor, interdigital capacitor, balun, resonator, phase shifter, or other passive RF component. Invoke BEFORE writing code — class names and property patterns are non-obvious. SKIP: filter design (use matlab-design-pcb-filter), coupler/splitter design (use matlab-design-pcb-coupler), transmission line design (use matlab-design-pcb-txline), EM analysis (use matlab-analyze-em), material setup only (use matlab-manage-pcb-material).
- 100/100
matlab-design-pcb-txline
Microstrip, stripline, CPW, differential pairs, and crosstalk analysis for impedance-controlled PCB interconnects. TRIGGER: user asks to design or analyze a transmission line (microstrip, stripline, CPW, coplanar, differential pair), extract RLGC or per-unit-length parameters, compute trace impedance, analyze a PCB trace cross-section, or perform crosstalk/coupling analysis. Invoke BEFORE writing code — preferred over RF Toolbox analytical functions (txlineMicrostrip, txlineStripline, txlineCPW). SKIP: EM simulation/S-parameter extraction of an existing component (use matlab-analyze-em), material/stackup definition only (use matlab-manage-pcb-material), building custom non-catalog geometry (use matlab-assemble-pcb-layout), optimization sweeps (use matlab-optimize-pcb-design).
- 100/100
matlab-design-radar-waveform
>
- 100/100
matlab-design-reflectarray
Design reflectarray antennas and reconfigurable intelligent surfaces (RIS) using MATLAB Antenna Toolbox. Builds unit cells with pcbStack, characterizes reflection phase (S-curve) via planeWaveExcitation + infiniteArray + EHfields, synthesizes aperture phase distributions, builds physical geometry with conformalArray, and verifies patterns via pattern multiplication. Use when the user wants to design a reflectarray, RIS, intelligent reflecting surface, or periodic surface with phase control.
- 100/100
matlab-design-reflector-antenna
Design and analyze curved reflector antennas using MATLAB Antenna Toolbox. Covers parabolic dishes (prime-focus, Cassegrain, Gregorian), offset dual-reflector configurations, corner reflectors, cylindrical and spherical reflectors, and custom dual-reflector surfaces. Includes exciter selection, f/D ratio design, solver selection (MoM-PO, PO, MoM, FMM), feed offset, and pattern analysis. Use when the user wants to design a dish antenna, parabolic reflector, Cassegrain, Gregorian, corner reflector, or any curved reflector structure.
- 100/100
matlab-diagnose-parfor
>
- 100/100
matlab-discover-clusters
>
- 100/100
matlab-discover-hardware
Discovers connected MATLAB-supported hardware devices, searches by capability, and checks required support packages and add-ons. Use when the user asks what hardware is connected, finds a device that supports a capability (e.g., CAN, analog input), or checks if required support packages or add-ons are installed.
- 100/100
matlab-display-image
Display images and annotations for image processing, computer vision, and visual inspection. Use when displaying images with imageshow, creating image viewers with viewer2d, adding Regions of Interest (ROI) or annotations, overlaying masks or segmentations, streaming video frames, or building apps with image display.
- 100/100
matlab-display-volume
Display 3-D image volumes, medical image volumes, surface meshes, and annotations for 3-D image processing. Use when displaying 3-D images or isosurfaces with volshow, creating volume viewers with viewer3d, adding Regions of Interest (ROI) or annotations, overlaying masks or segmentations, streaming volumetric data, or building apps with volume display.
- 100/100
matlab-document-toolbox
|
- 100/100
matlab-driving-data-importer
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-scenario-builder.
- 100/100
matlab-dsphdl-ddc-design
Use when designing a Digital Down Converter (DDC) using dsphdl System objects. Triggers on requests involving DDC design, frequency down-conversion for FPGA/ASIC, NCO + mixer + decimation filter chains, fractional/non-integer sample rate conversion, or HDL-optimized receiver front-end signal processing.
- 100/100
matlab-enhance-camera-image
>
- 100/100
matlab-estimate-sar
Estimate Specific Absorption Rate (SAR) of electromagnetic fields inside dielectric tissue phantoms using MATLAB Antenna Toolbox. Supports three approaches -- birdcage coil with volumetric Phantom (full tissue properties), conformalArray with shape.Custom3D (antenna outside tissue), and direct EHfields for implantable antennas (antenna inside tissue). Computes internal E-fields, calculates point and mass-averaged SAR, and validates via power balance. Use when the user wants to compute SAR, tissue absorption, or RF exposure from antennas near or inside biological tissue.
- 100/100
matlab-exclude-files
Analyze a toolbox folder and generate a toolbox.ignore file — detects files that should not ship to end users based on what actually exists in the folder. Only suggests patterns for files found. Advisory: presents suggestions with reasons before writing.
- 100/100
matlab-export-session-script
Export conversation MATLAB code to a clean, runnable .m script. Use when asked to save or export session work. TRIGGER: user asks to save, export, or generate a script from the current session's MATLAB code. Also when asked for a reproducible script or clean version of what was run.
- 100/100
matlab-extract-signal-features
>
- 100/100
matlab-find-pi-assets
>
- 100/100
matlab-fit-simbiology-model
Fit SimBiology model parameters to data — fitproblem, population NLME, virtual patients, and NCA. Use when asked to fit, estimate, calibrate, or compute PK metrics.
- 100/100
matlab-fuse-inertial-sensors
>
- 100/100
matlab-generate-5g-waveform
>
- 100/100
matlab-generate-ble-waveform
>
- 100/100
matlab-generate-gnss-waveform
>
- 100/100
matlab-generate-report
>
- 100/100
matlab-generate-wlan-waveform
>
- 100/100
matlab-import-external-ai-model
>
- 100/100
matlab-import-tracking-data
Import raw ground truth data (CSV, XLSX, TXT, or MATLAB tables) into formats used by Sensor Fusion and Tracking Toolbox: trackingScenarioRecording, tuning data timetable, truthlog struct array, or a clean converted table. Use when the user has recorded position/trajectory data and wants to: replay a tracking scenario from real data, tune tracking filters (EKF, UKF, IMM) with recorded truth, or assess tracker accuracy (GOSPA, OSPA, assignment metrics) against ground truth. Also use when the user mentions trackingDataImporter, importing flight logs, GPS logs, ADS-B data, AIS ship tracks, radar recordings, driving logs, or converting raw position data for use with trackers.
- 100/100
matlab-import-vehicle-data
Use when importing vehicle data from log files (MDF/MF4/DAT, BLF, ASC/TXT), decoding CAN/CAN FD/LIN messages to signals via DBC, ARXML, or LDF databases, or calling blfread, blfinfo, mdfRead, canSignalImport, canMessageImport, canMessageTimetable, canFDMessageTimetable, canSignalTimetable, or linMessageTimetable.
- 100/100
matlab-install-products
Deterministic workflow to download MATLAB Package Manager (mpm) and install MathWorks products from the OS command line with consistent, repeatable behavior. Use when installing MATLAB, Simulink, toolboxes, or support packages via command line, or setting up scripted installations for CI/CD, containers, or fleet provisioning.
- 100/100
matlab-instrument-opentelemetry-tracing
>
- 100/100
matlab-integrate-pcb-circuit
Cascade PCB components, add lumped elements, export Touchstone, and bridge to eye diagram or antenna array workflows. TRIGGER: user asks to cascade or connect multiple RF PCB components, add lumped R/L/C, export S-parameters to Touchstone, or combine PCB elements into a circuit. Invoke BEFORE writing pcbcascade or circuit code — cascade rules and port matching are non-obvious. SKIP: designing individual components (use the specific matlab-design-pcb-* skill), EM analysis of a single component (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material), optimization (use matlab-optimize-pcb-design).
- 100/100
matlab-integrate-pytorch-vision
>-
- 100/100
matlab-list-products
Show all installed MATLAB products and support packages for a given MATLAB installation folder. Use when listing, checking, or verifying what products or support packages are in a MATLAB installation.
- 100/100
matlab-manage-pcb-material
Dielectric substrates, metal conductors, multi-layer stackups, and loss models (FR4, Rogers, Teflon) for RF PCB simulation. TRIGGER: user asks to set up a substrate, define dielectric properties, create a stackup, select a PCB material (FR4, Rogers, Teflon, etc.), or configure metal conductors. Invoke BEFORE writing dielectric() or metal() code — the API for named vs custom materials differs significantly. SKIP: PCB layout assembly (use matlab-assemble-pcb-layout), transmission line design (use matlab-design-pcb-txline), EM analysis (use matlab-analyze-em), importing a PCB file (use matlab-read-pcb-layout).
- 100/100
matlab-map-database-objects
Generates MATLAB Object Relational Mapping (ORM) code using Database Toolbox. Use when mapping MATLAB classes to database tables, reading/writing objects with ormread/ormwrite/ormupdate, defining Mappable classes, converting classes to SQL with orm2sql, or using object-oriented database workflows.
- 100/100
matlab-model-ams-systems
Model a Phase-Locked Loop (PLL) IC from its datasheet or system specs using Mixed-Signal Blockset. Without this skill, agents universally select the wrong solver and produce non-functional PLL models — 100% of unguided attempts fail. Covers Integer-N, Fractional-N, Dual Modulus architectures, loop filter design, lock time optimization, VCO phase noise configuration, and msbPllArchitectures/msbPllFoundation block assembly. Use when: PLL modeling, frequency synthesizer design, phase noise simulation, lock time analysis, charge pump design, loop filter tuning, datasheet-to-model, Mixed-Signal Blockset PLL, msbPllArchitectures.
- 100/100
matlab-model-optics
>
- 100/100
matlab-model-rf
>
- 100/100
matlab-model-robot-kinematics
>
- 100/100
matlab-model-serdes-systems
>
- 100/100
matlab-model-via
Via modeling: pads, antipads, ground return vias, GRV placement, and signal integrity for high-speed layer transitions. TRIGGER: user asks to model a via, design a via transition, place ground return vias, analyze via performance, or check signal integrity through layer transitions. Invoke BEFORE writing code — only viaSingleEnded exists (no viaDifferential), and the location format is non-obvious. SKIP: general signal integrity without vias (use matlab-analyze-em), transmission line design (use matlab-design-pcb-txline), PDN analysis (use matlab-analyze-pcb-pdn), material/stackup setup only (use matlab-manage-pcb-material).
- 100/100
matlab-modernize-code
>
- 100/100
matlab-modernize-daq
>
- 100/100
matlab-ncap-testing
>
- 100/100
matlab-ocr
>
- 100/100
matlab-optimize-antenna
Optimize antennas and arrays using MATLAB Antenna Toolbox SADEA and TR-SADEA algorithms. Supports catalog antenna/array optimization with built-in objectives (gain, bandwidth, SLL, F/B ratio) and constraints, plus custom evaluation functions for pcbStack and customAntenna. Use when the user wants to optimize, tune, improve, or search for the best antenna or array design parameters.
- 100/100
matlab-optimize-memory
Guides the 7-step MATLAB memory optimization workflow: baseline, profile, identify, optimize, measure, verify, report. Use when asked to reduce MATLAB memory usage, find memory bottlenecks, fix out-of-memory errors, or optimize memory-intensive code.
- 100/100
matlab-optimize-pcb-design
Optimize RF PCB dimensions for bandwidth, return loss, or area via patternsearch and surrogateopt with constraints. TRIGGER: user asks to optimize an RF PCB component for performance (bandwidth, return loss, insertion loss, area) or apply constraints to a design. Invoke BEFORE writing optimization code — RF PCB Toolbox has a built-in optimize() function that differs from generic fmincon/ga approaches. SKIP: designing a component from scratch without an optimization objective (use the specific matlab-design-pcb-* skill), EM analysis without optimization (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material).
- 100/100
matlab-optimize-performance
Read BEFORE optimizing any MATLAB code for speed. Without this workflow, agents commonly optimize the wrong target, fabricate speedup claims without measurement, or introduce regressions. Guides the 7-step workflow: baseline, profile, identify, optimize, measure, verify, report.
- 100/100
matlab-plan-robot-motion
>
- 100/100
matlab-play-record-audio
Reference for MATLAB audiostreamer (Audio Toolbox R2025a+). Without this skill, agents consistently default to legacy audioDeviceWriter/audioDeviceReader or base MATLAB sound(), producing less capable code. Use when writing code for audio playback, recording, full-duplex device I/O, real-time audio measurements, or audio I/O processing with callbacks. Also use when debugging audiostreamer errors, dropouts, or latency issues, or migrating from audioDeviceReader, audioDeviceWriter, audioPlayerRecorder, or audioplayer/audiorecorder.
- 100/100
matlab-point-cloud-file-io
Read and write 3-D point cloud data using Lidar Toolbox file I/O. Covers PLY, PCD, LAS/LAZ, PCAP (Velodyne/Ouster/Hesai), E57, and IDC (Ibeo) formats. Use when loading point clouds from disk, saving to disk, choosing the correct reader or writer for a file format, extracting or preserving lidar point attributes, reading Ibeo IDC sensor recordings, or converting between formats.
- 100/100
matlab-point-cloud-registration
Register 3-D point clouds using ICP, NDT, LOAM, FGR, phase correlation, and CPD algorithms. Use when registering or aligning 3-D point clouds, choosing a registration algorithm, tuning registration parameters, preprocessing point clouds for registration or combining point clouds after registration.
- 100/100
matlab-prepare-signal-data
|
- 100/100
matlab-process-large-images
Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters. Use when writing code that creates, processes, or visualizes blockedImage objects, when implementing images.blocked.Adapter subclasses, or when a user needs help with large image data. Always use this skill when working with TIFF,GeoTIFF, .svs, .ndpi, .czi or other WSI, satellite imagery or microscopy volume image formats.
- 100/100
matlab-publish-toolbox
Version-stamp, re-package, and distribute the .mltbx toolbox. Sets version in ToolboxOptions, re-runs packageToolbox, and guides distribution. Requires explicit user confirmation.
- 100/100
matlab-read-database
Reads data from relational databases using MATLAB Database Toolbox pushdown capabilities. Use when importing data from JDBC/ODBC databases, filtering rows, selecting columns, excluding duplicates, joining database tables, using sqlread, fetch, sqlinnerjoin, sqlouterjoin, databaseImportOptions, or rowfilter.
- 95/100
matlab-read-doc
Guides the agent to reference official MathWorks Documentation and Help. Determine correct function syntax and workflows from user guides when deeper context is needed. Minimize iterations and repetitive trial and error. Use this skill to: Identify correct syntax and configuration details. Retrieve relevant, version-specific (or release-specific) information from official documentation. Consult user guides when conceptual or workflow context is needed. Apply best practices.
- 100/100
matlab-read-medical-data
>
- 100/100
matlab-read-pcb-layout
Import Gerber, ODB++, Allegro .brd, .mcm files for PCB boards and IC packages. Inspect nets, layers, shapes, and stackups. TRIGGER: user asks to import, read, or open a PCB layout file. Gerber files use gerberRead or PCBReader; ODB++, Allegro .brd, .mcm, and native formats use pcbFileRead. Also when inspecting nets, layers, components, or stackups from an imported board. Invoke BEFORE writing import code — the query API (cadnet, cadnetList, componentList) is specialized. SKIP: EM analysis or S-parameter extraction (use matlab-analyze-em), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn), building custom geometry (use matlab-assemble-pcb-layout), material/stackup definition only (use matlab-manage-pcb-material).
- 100/100
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.
- 100/100
matlab-review-fi-code
Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.
- 100/100
matlab-scenario-builder
Generate driving scenes, scenarios, road surfaces, and 3D content from scenariobuilder.* sensor data (GPS, camera, lidar, actor tracks) using Scenario Builder for Automated Driving Toolbox. BUILD, EXPORT, or AUGMENT a virtual scenario/scene/map: ego or actor trajectories, trajectory smoothing, OpenCRG road-surface extraction, 3D asset generation, static-object placement, point-cloud georeferencing + elevation, lane-based ego localization, sensor-fusion tracking, scenario-event extraction (cut-ins, hard brakes, near-misses, ADAS disengagements), or export to RoadRunner, drivingScenario, OpenDRIVE, OpenCRG, OpenSCENARIO, or Unreal Engine. Also: log-to-scenario, scenario harvesting, accident/near-miss reconstruction, SOTIF (ISO 21448) and ISO 26262 scenario coverage, USGS-aerial-lidar augmentation, traffic-sign placement, vision-based vehicle classification for actor assets. NOT for raw-data import or multi-sensor sync/crop/offset/timestamp normalization — route those to matlab-driving-data-importer.
- 100/100
matlab-set-up-usrp-radio
>
- 100/100
matlab-setup-gpu
>
- 100/100
matlab-setup-worker-state
>
- 100/100
matlab-sharing
>
- 100/100
matlab-simulate-bluetooth-network
>
- 100/100
matlab-simulate-radar-detections
>
- 100/100
matlab-simulate-simbiology-model
Simulate SimBiology models — ODE, stochastic (SSA), scenarios, and sensitivity analysis. Use when asked to run, simulate, predict, explore what-if, or identify influential parameters.
- 100/100
matlab-simulate-wireless-network
>
- 100/100
matlab-solve-optimization
>-
- 100/100
matlab-solve-pde
>
- 100/100
matlab-testing
Generate and run MATLAB unit tests using matlab.unittest and matlab.uitest. Parameterized tests, fixtures, mocking, coverage analysis, CI/CD with buildtool, app testing with gestures. Use when creating tests, writing test classes, running test suites, checking coverage, testing apps, or validating MATLAB code.
- 100/100
matlab-theming
>
- 100/100
matlab-train-network
>
- 100/100
matlab-upgrade-mex-ic
>
- 100/100
matlab-use-cameras
>
- 95/100
matlab-use-duckdb
Use DuckDB from MATLAB via Database Toolbox (R2026a+) as a non-math operations engine on large tabular files (CSV/Parquet/JSON) and as a zero-config embedded database. Use when connecting to DuckDB, querying CSV, Parquet, and JSON files directly with SQL, reducing or profiling large data before MATLAB analysis, creating portable development databases, or installing DuckDB extensions. Triggers on: DuckDB, duckdb(), large CSV/Parquet/JSON, file too large for readtable, filter/aggregate at source, deduplicate, reduce before analysis, profile large file, persistent file import, analytical engine, SQL on CSV, SQL on Parquet, SQL on JSON, query CSV with SQL, query Parquet with SQL, run SQL on files, SQL queries on files, query files directly, SQL without database, in-process SQL.
- 100/100
matlab-use-machine-learning-apps
Use when the user wants to train, compare, or export machine learning models using Classification Learner or Regression Learner — including opening the app, loading data, training models, evaluating metrics, comparing results, visualizing plots, testing on held-out data, exploring model interpretability, and exporting trained models. Programmatic access to Classification Learner and Regression Learner apps via AppController.
- 100/100
matlab-use-thread-pool
>
- 100/100
matlab-validate-function-arguments
>
- 100/100
matlab-vehicle-network-communication
Use when setting up vehicle network communication in MATLAB using Vehicle Network Toolbox. Covers CAN/CAN FD (fully implemented), with architecture for J1939, XCP, and future protocols. Handles hardware discovery, channel creation, bus configuration, message exchange, signal encoding/decoding, and analysis across all supported vendors (Vector, Kvaser, PEAK-System, NI, SocketCAN, MathWorks Virtual).
- 100/100
matlab-write-audio-plugin
>
- 100/100
matlab-write-database
Writes data from MATLAB to relational databases and performs database operations. Use when writing data with sqlwrite, updating rows with sqlupdate, executing SQL with execute, running stored procedures, managing transactions with commit/rollback, creating tables, or using SQL prepared statements.
- 100/100
matlab-write-help
Generate or improve MATLAB help text (documentation comments) for a function, class, or script file following MathWorks standards (H1 line, syntax paragraphs, See Also, 75-char lines). Read BEFORE writing MATLAB help — default patterns (Inputs:/Outputs: lists, block comments, uppercase See Also) produce non-conforming output. Use when writing, rewriting, fixing, or reviewing MATLAB help comments or function documentation.
- 100/100
matlab-write-pcb-layout
Export pcbComponent designs to Gerber files with RF connectors and fab service formatting for PCB manufacturing. TRIGGER: user asks to export a PCB design to Gerber, generate manufacturing files, or write out a pcbComponent for fabrication. Invoke BEFORE writing export code — gerberWrite signature (pcbComponent, connectors, filename) is non-obvious. SKIP: importing/reading PCB files (use matlab-read-pcb-layout), building PCB geometry (use matlab-assemble-pcb-layout), EM analysis (use matlab-analyze-em), material/stackup setup (use matlab-manage-pcb-material).
- 100/100
matlab-write-performance-tests
Writes MATLAB performance tests using the matlab.perftest.TestCase framework. Use when asked to write, create, or add performance tests for MATLAB code, benchmark functions, measure execution time with statistical rigor, or use runperf.
- 100/100
roadrunner-asset-mapping
>
- 100/100
roadrunner-build-scenario-from-osc
>
- 100/100
roadrunner-convert-lanelet2-to-rrhd
>
- 100/100
roadrunner-core
Foundation skill for all RoadRunner workflows: MATLAB path setup, connection, project/scene/scenario lifecycle, world settings, handle management, status, and close. Use when connecting to RoadRunner, managing projects/scenes/scenarios, setting world origin, checking status, closing RoadRunner, or when any downstream RoadRunner skill needs initialization.
- 100/100
roadrunner-import-scene
>
- 100/100
roadrunner-rrhd-authoring
>
- 100/100
roadrunner-scenario-authoring
>
- 100/100
roadrunner-scenario-simulating
>
- 100/100
author-modeladvisor-checks
>
- 100/100
authoring-simulink-inputs
>
- 100/100
building-architecture-models
Common steps for building multi-layer system architecture models using System Composer. Use when implementing architecture models or when interacting with interface dictionaries, allocation sets, stereotypes, and requirements for architecture components.
- 100/100
building-simulink-models
Builds and edits Simulink, System Composer, Stateflow, and Simscape models. Use when modifying model structure, parameters, ports, connections, or Stateflow chart internals.
- 100/100
checking-model-compliance
Use this skill when the user asks to check Simulink model compliance against a standard (MISRA, MAB, JMAAB, ISO 26262, ISO 25119, DO-178C, DO-254, IEC 61508, IEC 62304, EN 50128, CERT C/CWE, AUTOSAR), wants to run Model Advisor checks, or needs a compliance report with fix suggestions. For JMAAB/MAB, supplement deterministic checks with agentic review of uncheckable guidelines.
- 100/100
configuring-block-policy
Guide users through creating and managing .satk/block-policy.json for controlling which blocks the agent can use, which are excluded, and which block parameters the agent should not modify. Use when setting up block usage policy for a project.
- 100/100
create-sdi-run
>
- 100/100
curating-library-kg
Guide users through curating the library knowledge index — reviewing block categories, marking common/important blocks, and improving block descriptions for better agent block selection.
- 100/100
filing-bug-reports
Generate a standalone bug report that another developer can use to reproduce, investigate, and fix an issue. Use when the user says 'file a bug', 'write a bug report', 'report this issue', or asks to document a defect for handoff.
- 100/100
generate-requirement-drafts
Generates draft requirements from Simulink models. Use when drafting or updating requirement artifacts from a model. Prefers Requirements Toolbox (.slreqx) when available; falls back to structured YAML.
- 100/100
inject-faults
Add, configure, and manage faults on Simulink, Simscape, and System Composer model signals for robustness analysis and safety validation. Use when injecting faults (stuck, noise, gain, offset) onto block inports/outports, enabling fault simulation, or analyzing fault effects. Covers sensor failures, signal corruptions, actuator faults, FMEA validation, and robustness testing. Requires Simulink Fault Analyzer.
- 100/100
manage-safety-analysis
Create, populate, and manage safety analysis spreadsheets (FMEA, FHA, HARA, custom) and fault trees (FTA) in Safety Analysis Manager. Use when the user asks to perform FMEA, hazard analysis, fault tree analysis, safety analysis, or work with Safety Analysis Manager documents. Requires Simulink Fault Analyzer.
- 100/100
managing-simulink-projects
>-
- 100/100
setup-custom-libraries
Declare, add, or update custom Simulink block libraries and configure block policy and knowledge index. Use when a user wants to register, set up, configure, or add new files to their custom libraries for agent-assisted model building.
- 100/100
simulating-simulink-models
Runs Simulink models programmatically for data exploration, parameter sweeps, and custom analysis using sim() with SimulationInput/SimulationOutput. Use when calling sim(), parsim, setExternalInput, setModelParameter, setVariable, or accessing logsout — any task producing simulation results for analysis (not pass/fail tests).
- 100/100
simulink-single-precision-conversion
Converts a double-precision Simulink system or subsystem to single precision using DataTypeWorkflow.Single (Fixed-Point Designer). The single conversion replaces all user-specified double-precision data types, as well as output data types that compile to double precision, with single-precision data types. Use this skill when converting Simulink systems to single precision, reducing memory usage of a Simulink system, optimizing for embedded targets. Do NOT use for standalone MATLAB .m code single conversion.
- 100/100
specifying-mbd-algorithms
Specify algorithms for Model-Based Design: system specs, architecture specs, implementation plans, test plans. Use when creating specifications for controllers, signal processing, diagnostics, estimators, or other algorithms authored in Simulink, Stateflow, System Composer, or MATLAB Function blocks.
- 100/100
specifying-plant-models
Specify plant models for closed-loop simulation: system specs, architecture, build plans, validation plans. Use when creating, updating, or reviewing plant model specifications, planning plant model architecture, or planning plant model validation.
- 80/100
testing-simulink-models
Creates persistent Gherkin-based pass/fail tests for Simulink models and individual subsystems using model_test. Use when verifying expected behavior, writing regression tests, reproducing issues, or validating bug fixes with structured assertions. Requires Simulink Test.