Create, modify, or delete experiments in Experiment Manager with live UI sync. TRIGGER when: user asks to create an experiment from code/script, wants to sweep parameters, asks to add/delete/edit experiments, or wants parameter changes reflected in the UI. Combines experiment creation (from code analysis) with frontend UI synchronization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Create experiments from user code or problem descriptions AND keep the Experiment Manager (EM) UI in sync — adding/deleting/editing experiments updates the browser tree and editor live, without restarting EM.
Use this skill when the user wants to manage an experiment in MATLAB Experiment Manager: create an experiment from a script or description, sweep parameters, add/delete/edit experiments, rename or duplicate an experiment, or ask about an experiment's strategy, parameters, or values — and have any change reflected live in the EM UI.
Do not use this skill for requests that are not about managing an Experiment Manager experiment. Hand off instead:
matlab-train-network.matlab-debug-code,
matlab-modernize-code, or matlab-review-code.matlab-build-app.matlab-create-live-script.When this skill is invoked, add the skill's scripts folder to the MATLAB path so that
manageExperimentHelpers is available. Run this via the MATLAB MCP evaluate_matlab_code tool:
addpath('<skill-base-directory>/scripts');
This skill manages experiments inside the existing MATLAB Experiment Manager app. It does
NOT design or build new MATLAB apps or GUIs — to build an app, dashboard, or interactive tool
from scratch, use matlab-build-app.
Pick the one operation that matches the request:
| # | Task | Reference |
|---|---|---|
| 1 | Create — from code or description, generate function, open in EM | create.md |
| 2 | Load Project — open project in EM, list experiments, offer actions | load-project.md |
| 3 | Update — modify parameters, strategy, functions, supporting files | update.md |
| 4 | Delete — remove experiment tab, results, tree entry, and file | delete.md |
| 5 | Rename — update name, tree label, and tab title | rename.md |
| 6 | Duplicate — copy with a custom name | duplicate.md |
Two buckets:
For querying Experiment Manager UI state (answering questions about strategy, parameters, or values), see the Query Experiment State section in common.md.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.