matlab/simulink-agentic-toolkit/create-sdi-run

Claude Code and agent skill by matlab/simulink-agentic-toolkit

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Import data into the Simulation Data Inspector (SDI) from MAT, CSV, or Excel files, from workspace variables, or from a Simulink simulation. Use when the user wants to view a logged file in SDI, load a bench-test log, or verify what a just-completed `Simulink.sdi.createRun` or `sim(model)` produced. Covers the `'file'`, `'vars'`, and `'namevalue'` sources of `createRun`, the auto-populate behavior after `sim()`, and post-import verification. Not for comparing existing runs (use `Simulink.sdi.co…

Install

npx vskill@latest install matlab/simulink-agentic-toolkit/create-sdi-run

SKILL.md

Create SDI Run

Get data into the Simulation Data Inspector using the shortest path that works. Most agents reflexively read files into the workspace and rebuild signals by hand; this skill teaches the direct paths and when each applies.

When to Use

  • User has a .mat, .csv, or .xlsx file of logged data and wants to view it in SDI.
  • User just ran sim(model) and wants to see the logged signals.
  • User has timeseries, timetable, or Simulink.SimulationData.Dataset variables in the workspace and wants an SDI run.
  • User asks about Simulink.sdi.createRun, Simulink.sdi.getAllRunIDs, or Simulink.sdi.getRun.

When NOT to Use

  • Comparing two existing runs — that is a distinct workflow (Simulink.sdi.compareRuns).
  • Streaming data live during a running simulation — this is a separate API (Simulink.sdi.createRunOrAddToStreamedRun), not a mode of createRun. Prompts like "stream data into SDI while my sim is running" belong to that API. Do not activate on those.
  • Files in MDF (.mf4), ULG, ROS bag, CAN log, or HDF5 formats — see references/format-support.md for what SDI reads natively vs. what needs a different toolbox.
  • Customizing plot layout, cursors, or subplot arrangement beyond opening the SDI window.
  • Authoring Gherkin `.feature` files, Simulink Test cases, `matlab.unittest` classes, or any pass/fail assertions or regression tests for a model or subsystem — use testing-simulink-models (Gherkin-based model_test, requires Simulink Test). Prompts like "write a Gherkin test for X", "verify abs(-5) equals 5", "create a regression test for this subsystem", or any request whose deliverable is a test artifact belong there. Do not activate this skill on such prompts even when testing-simulink-models is unavailable — in that case, tell the user which skill is missing and stop.

Workflow

Answer these four questions in order. The first "yes" tells you what to do.

1. Is the data already in SDI?

After sim(model) with signal logging enabled, SDI auto-populates one run. Do not call `createRun` — that produces a duplicate.

matlab
before = Simulink.sdi.getAllRunIDs;
simOut = sim("myModel");
after = Simulink.sdi.getAllRunIDs;
if numel(after) > numel(before)
Simulink.sdi.view; % done — just open the window
end

If no new run appeared, logging is off. Enable it via the Simulink Agentic Toolkit model_edit tool with a configure op setting DataLogging on the target port, then re-simulate — or fall back to Step 3 with simOut. As a last resort, ask the user to right-click a signal → Log Selected Signals in the Simulink editor themselves; that step is for the user to perform, not the agent.

2. Is the data in a file?

Use the 'file' source. One call handles MAT, CSV, and Excel natively — no load, no readtable, no sheetnames loop.

matlab
runID = Simulink.sdi.createRun("bench_test","file","logs/bench_test.mat");

Excel with N sheets returns a 1×N `int32` vector — one run ID per sheet. All returned runs inherit the base name; if the user needs sheet-named runs, rename each run in place with sheetnames() — do not delete and re-import per sheet:

matlab
runIDs = Simulink.sdi.createRun("cases","file","cases.xlsx"); % [id1, id2, ...]
sheets = sheetnames("cases.xlsx");
for k = 1:numel(runIDs)
Simulink.sdi.getRun(runIDs(k)).Name = sheets(k);
end

Time-column header rule (CSV and Excel). SDI's built-in reader requires the time column to be named literally time (case-insensitive). Headers like time_s, t, Time (s), Timestamp cause SDI:sdi:ImportError. Try `'file'` first and catch the error — do not pre-inspect the header row and guess, because SDI's matching rules can differ from your interpretation. On SDI:sdi:ImportError, fall back to the readmatrix + array2timetable + 'vars' pattern (Step 3 / CSV pattern below). Do not rewrite the source file.

Other `createRun` failures. createRun can also throw for reasons this skill does not enumerate — corrupted files, unsupported data types inside a MAT/Excel, malformed structs, permission errors, unregistered custom readers. When you catch an error identifier that is not SDI:sdi:ImportError, do not invent a fix or silently retry. Surface the full error identifier and message to the user, list the file or variables involved, and suggest they inspect the source (e.g., whos("-file",path) for a MAT, or sheetnames(path) plus a per-sheet read for an Excel). Ask before attempting an alternative import path.

3. Is the data in workspace variables?

Two sources, different purposes:

  • `'vars'` — pass variables whose names or .Name properties are already correct. This is the default.
  • `'namevalue'` — pass explicit signal names when the variables have no .Name metadata (e.g., bare arrays or unnamed timeseries).

Timeseries whose .Name is already what you want:

matlab
% TEMPLATE — not executable
runID = Simulink.sdi.createRun("baseline","vars", speedTS, torqueTS);

Timetable — signals inherit the column names:

matlab
% TEMPLATE — not executable
runID = Simulink.sdi.createRun("baseline","vars", benchTT);

Bare arrays needing explicit names:

matlab
% TEMPLATE — not executable
runID = Simulink.sdi.createRun("baseline","namevalue", ...
{"velocity","load"}, {velocityData, loadData});

Gotcha (Gap E): if a timeseries passed to 'namevalue' has its own .Name set, .Name wins over the caller-supplied name. To force the name you want, either set ts.Name first and use 'vars', or clear it before 'namevalue'.

4. Verify the run

After every createRun or auto-populate:

matlab
ids = Simulink.sdi.getAllRunIDs;
run = Simulink.sdi.getRun(ids(end));
fprintf("Run %d: %s (%d signals)\n", ids(end), run.Name, run.SignalCount);
for k = 1:run.SignalCount
fprintf(" %s\n", run.getSignalByIndex(k).Name);
end
Simulink.sdi.view;

Verify against MATLAB via the MATLAB MCP server's evaluate_matlab_code tool. If SignalCount == 0, the import silently produced nothing — investigate the source, do not report success.

Key Functions

All available from R2023a with base Simulink; no additional toolbox required.

FunctionPurposeAvailable From
Simulink.sdi.createRun(name)Empty run — used with Run.add for a per-signal build; rarely the right first choice.R2011b
Simulink.sdi.createRun(name,"file",path)Import a .mat, .csv, or .xlsx file. Returns scalar int32 for MAT/CSV, 1×N int32 vector for N-sheet Excel.R2011b
Simulink.sdi.createRun(name,"vars",v1,v2,...)Import workspace variables whose names/.Name are correct.R2011b
Simulink.sdi.createRun(name,"namevalue",names,values)Import with explicit names. See Gap E caveat.R2011b
Simulink.sdi.viewOpen the SDI window. Safe to call repeatedly; opens only if not visible.R2011b
Simulink.sdi.getAllRunIDsReturn int32 vector of every run's ID. Use before/after sim to detect auto-populate.R2017a
Simulink.sdi.getRun(runID)Return the Simulink.sdi.Run object for a run ID.R2011b
Simulink.sdi.clearDelete all SDI runs. Ask the user first — destructive.R2011b

Four createRun sources exist: empty, `'vars'`, `'namevalue'`, `'file'`. When unsure, run help Simulink.sdi.createRun.

Patterns

Pattern: MAT file → SDI (one line)
matlab
runID = Simulink.sdi.createRun("sensor_log","file","data/sensor_log.mat");
Simulink.sdi.view;

The variables inside the MAT file may be timeseries, timetable, Simulink.SimulationData.Dataset, or legacy struct-with-time — SDI's reader picks them up automatically.

Pattern: CSV file → SDI (try 'file', catch, fall back)

Attempt the one-liner first. On SDI:sdi:ImportError, fall back to the timetable path — do not rewrite the file:

matlab
try
runID = Simulink.sdi.createRun("bench_run","file","logs/bench_run.csv");
catch ME
if strcmp(ME.identifier,"SDI:sdi:ImportError")
raw = readmatrix("logs/bench_run.csv");
headers = string(readcell("logs/bench_run.csv","Range","1:1"));
tt = array2timetable(raw(:,2:end), ...
"RowTimes", seconds(raw(:,1)), ...
"VariableNames", headers(2:end));
runID = Simulink.sdi.createRun("bench_run","vars", tt);
else
rethrow(ME);
end
end

Assumes the time column is column 1 and expressed in seconds — the common case for bench logs. If the time column sits elsewhere or uses different units, adjust the index or wrap it with the appropriate duration constructor (milliseconds, minutes, …) before passing to RowTimes.

Pattern: Excel with multiple sheets → one run per sheet

One createRun call per file. Every returned run initially inherits the base name you supplied — SDI does not auto-apply sheet names. Rename in place with sheetnames(); do not delete and re-import per sheet. The same time-column-header rule applies as for CSV — if a sheet's time column is not named time, createRun throws SDI:sdi:ImportError; wrap this call in the same try-then-fallback shown in the CSV pattern, using readmatrix(...,"Sheet",sheets(k)) and readcell(...,"Sheet",sheets(k),"Range","1:1") per sheet.

matlab
runIDs = Simulink.sdi.createRun("test_matrix","file","data/two_runs.xlsx");
% runIDs is a 1xN int32 vector — one ID per sheet, all named "test_matrix".
sheets = sheetnames("data/two_runs.xlsx");
for k = 1:numel(runIDs)
run = Simulink.sdi.getRun(runIDs(k));
run.Name = sheets(k); % rename in place to the sheet name
fprintf("Sheet run: %s (%d signals)\n", run.Name, run.SignalCount);
end

To restrict to specific sheets, use the sheets name-value — the returned vector is trimmed accordingly:

matlab
runIDs = Simulink.sdi.createRun("cases","file","cases.xlsx", ...
sheets=["baseline","variant"]);
Pattern: Post-sim — just open SDI
matlab
before = Simulink.sdi.getAllRunIDs;
simOut = sim("controller_test");
after = Simulink.sdi.getAllRunIDs;
if numel(after) > numel(before)
Simulink.sdi.view; % logged signals already imported
else
% No auto-populate — logging is off. Enable it and re-simulate, or
% pass simOut through createRun as a fallback:
Simulink.sdi.createRun("run_from_simout","vars", simOut);
Simulink.sdi.view;
end
Pattern: Rename workspace signals

Set .Name before 'vars'. This avoids the 'namevalue' override trap.

matlab
data = load("data/speed_torque.mat");
speed = data.speed;
torque = data.torque;
speed.Name = "velocity";
torque.Name = "torqueNm";
runID = Simulink.sdi.createRun("baseline","vars", speed, torque);

Conventions

Always

  • Check whether SDI already has the data before calling `createRun`. Use Simulink.sdi.getAllRunIDs before and after sim(model). If a new run appeared, sim already imported the logged signals — call Simulink.sdi.view and stop.
  • Prefer the `'file'` source for .mat, .csv, .xlsx. It handles the read and the signal-naming for you. Reserve load/readtable/sheetnames for the CSV time-column fallback and for genuinely workspace-first workflows.
  • Verify with `SignalCount`. After every import, confirm at least one signal exists. Zero signals means the import failed silently.
  • Read `help Simulink.sdi.createRun` if you are unsure which source applies. The four sources are the entire API surface for import.

Ask First

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1,035
Repository forks
99
7-day trend score
35

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/matlab/simulink-agentic-toolkit/create-sdi-run/badge)](https://verified-skill.com/skills/matlab/simulink-agentic-toolkit/create-sdi-run)

Something wrong with this skill or its page? Tell us.