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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill when asked to show, list, or check what MATLAB products or support packages are installed in a given MATLAB installation.
$ARGUMENTS
matlab-install-products instead)ver or version in MATLAB)The user may provide a matlabroot path or a release name, and optionally a platform. Resolve the matlabroot as follows:
C:\Program Files\MATLAB\R2025a, /usr/local/MATLAB/R2025a, /Applications/MATLAB_R2025a.app): use it as-is. Infer the platform from the path format (backslash / drive letter -> Windows; /Applications/MATLAB_ prefix -> macOS; other Unix path -> Linux).R2025a, or shorthand like 25a): expand shorthand to full form (25a -> R2025a, 26a -> R2026a, etc.) and construct the default path for the detected or specified platform:
C:\Program Files\MATLAB\<release>/usr/local/MATLAB/<release>/Applications/MATLAB_<release>.appIf the platform cannot be inferred from the path, assume Windows.
Important: Execute all steps below silently. Do not narrate, describe, or show progress to the user. Output only the final formatted result from Step 6.
Take the last component of the matlabroot path as the release name. Strip any trailing .app suffix for macOS paths.
Examples:
C:\Program Files\MATLAB\R2025a -> release = R2025a/usr/local/MATLAB/R2025a -> release = R2025a/Applications/MATLAB_R2025a.app -> release = R2025aFallback: If the last path component does not match R20\d{2}[ab] (e.g. custom installs like L:\prod25b), read {matlabroot}/VersionInfo.xml and extract the release from the <release> element. If that file is missing, ask the user for the release name.
Read the file (use forward slashes on Linux/macOS, backslashes on Windows):
{matlabroot}/appdata/prodcontents.json
This is a single-line JSON object. Parse it as JSON and extract the keys — these are the installed product names (e.g. "MATLAB 25.1 win64", "MATLAB 25.1 glnxa64", "MATLAB 25.1 maca64"). The values (XML paths) are not needed.
Derive the support package root based on platform:
C:\ProgramData\MATLAB\SupportPackages\{release}/usr/local/MATLAB/SupportPackages/{release}~/Library/Application Support/MathWorks/MATLAB/SupportPackages/{release}Read the file:
{supportpkgroot}/appdata/prodcontents.json
If the file does not exist, note that no support packages are installed and skip this section.
Each key in prodcontents.json looks like "MATLAB 25.1 win64" or "MATLAB Support Package for USB Webcams 25.1.0 win64".
Strip the trailing version number and platform token to get a clean display name:
25.1, 25.1.0, 25.2)win64, glnxa64, maci64, maca64, or commonExamples:
| Raw key | Display name |
|---|---|
MATLAB 25.1 win64 | MATLAB |
Simulink 25.1 win64 | Simulink |
Datafeed Toolbox 25.1 win64 | Datafeed Toolbox |
Motor Control Blockset 25.1 win64 | Motor Control Blockset |
MATLAB Documentation 25.1.0 win64 | MATLAB Documentation |
MATLAB Support Package for USB Webcams 25.1.0 win64 | MATLAB Support Package for USB Webcams |
Sort the cleaned product names using MATLABabetical order:
MATLABMATLAB CopilotSimulinkSimulink CopilotAny of the four anchor products that are not installed are simply omitted. Products not in the anchor list are sorted alphabetically after them.
Sort support packages in standard alphabetical order.
Show the release name as a heading, the installation folder, then two separate tables.
Use this exact format:
Installed at: {matlabroot}
Support packages at: {supportpkgroot}
| Installed Products |
|---|
| MATLAB |
| Simulink |
| ... |
| Installed Support Packages |
|---|
| MATLAB Support Package for USB Webcams |
| ... |
If no support packages are installed, show the heading and a single line: No support packages installed.
| Pattern | Purpose |
|---|---|
{matlabroot}/appdata/prodcontents.json | JSON file listing installed products (keys = product names) |
{supportpkgroot}/appdata/prodcontents.json | JSON file listing installed support packages |
| MATLABabetical sort | MATLAB, MATLAB Copilot, Simulink, Simulink Copilot first, then alphabetical |
| Version/platform stripping | Remove trailing 25.1 win64 etc. from raw keys |
Copyright 2026 The MathWorks, Inc.
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概要と使いどころ
Guide for accessing financial and economic data in MATLAB using the Datafeed Toolbox. Covers Bloomberg (market data via bloomberg/blp/bloombergHypermedia), FRED (Federal Reserve economic data via fredrs), Haver Analytics (economic data via haver/haverdirect/haverview), and LSEG Datastream (historical data via datastreamws). Use when connecting to any of these data providers from MATLAB.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze electrically large antenna structures using MATLAB Antenna Toolbox. Covers reflector antennas (parabolic, Cassegrain, Gregorian, offset, corner, cylindrical, spherical, custom STL), reflectarrays and reconfigurable intelligent surfaces (RIS), antennas installed on platforms (vehicles, aircraft, ships, satellites), and radar cross section (RCS) analysis. Includes solver selection (MoM-PO, PO, MoM, FMM), mesh control, and GPU acceleration. Use when the user wants to design a dish/reflector antenna, reflectarray, analyze an antenna on a platform, or compute RCS.
日本語の概要は準備中です。原文の説明を表示しています。
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, row 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.
日本語の概要は準備中です。原文の説明を表示しています。
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).
日本語の概要は準備中です。原文の説明を表示しています。