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WolframResearch/system-modeler-ai-toolkit
AI assistant skills for building, simulating and debugging Wolfram System Modeler models
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20GitHub stars
1star in 7 days
14skills in this repository
5commits in 30 days
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Individual skills in this repository
- annotate-control-panel
annotate-control-panel - annotate-modelica-animation
annotate-modelica-animation - annotate-modelica-graphics
annotate-modelica-graphics - annotate-modelica-plots
annotate-modelica-plots - create-hydraulic-model
create-hydraulic-model - diagnose-modelica
diagnose-modelica - minimize-modelica-bug
minimize-modelica-bug - modelica-model-architecture
modelica-model-architecture - search-modelica-docs
search-modelica-docs - simulate-and-plot-modelica
simulate-and-plot-modelica - simulate-modelica
simulate-modelica - simulate-modelica-realtime
simulate-modelica-realtime - validate-modelica
validate-modelica - wolfram-language-modelica
wolfram-language-modelica
How it works
annotate-control-panel
When your agent uses it
Add Wolfram System Modeler control-panel (Explore) annotations (__Wolfram(ControlPanels(Panel(...)))) to a .mo model so it opens with interactive sliders, checkboxes, input fields and popup menus in Simulation Center's Explore view. Use this skill whenever the user wants to add a control panel or Explore panel, make a model interactive, expose parameters as sliders/controls, or let someone tune parameters and re-simulate from the GUI. Triggers on phrases like 'add a control panel', 'add an explore panel', 'make interactive sliders', 'expose these parameters as controls', 'let me tune parameters in Simulation Center', 'add controls to this model'.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
6,842 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The control-panel spec (JSON)
- Running the annotator
- Cross-platform launcher (for the validate step)
- Workflow
- Notes and edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
ControlPanel/__init__.pyControlPanel/discover.pyControlPanel/inject.pyControlPanel/main.pyControlPanel/panels.pyControlPanel/parser.pyControlPanel/simvars.pyControlPanel/suggest.py../scripts/wsm_run.py
Files
ControlPanel/__init__.pyruns533 bytesControlPanel/discover.pyruns4,426 bytesControlPanel/inject.pyruns3,758 bytesControlPanel/main.pyruns10,141 bytesControlPanel/panels.pyruns9,557 bytesControlPanel/parser.pyruns1,132 bytesControlPanel/simvars.pyruns1,828 bytesControlPanel/suggest.pyruns2,444 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytesSKILL.mdcore27,029 bytes../scripts/README.mddoc20,503 bytes../scripts/wsm_run.pyruns86,737 bytes
Read SKILL.md
# Annotate Control Panel
This skill writes the Wolfram **control-panel** (Explore) annotation into a Modelica `.mo` file so a
model carries its own interactive panels — the sliders, checkboxes, input fields and popup menus that
Simulation Center's **Explore** view shows for driving parameters and start values, plus the plots to
display:
```modelica
annotation(__Wolfram(ControlPanels(
Panel(
identifier = "id1",
title = "Controller tuning",
elements = {
Slider(variable = Kp, label = "Proportional gain", min = 0, max = 100),annotate-modelica-animation
When your agent uses it
Add Wolfram System Modeler 3D-animation annotations (__Wolfram(Animation(cameras, windows))) to a MultiBody .mo model — stored cameras (fixed or following an object), trace paths, auto-play/repeat, time scale, ground grid and force-vector scaling — so the model opens with a ready-made animation in Simulation Center. Use this skill whenever the user wants to add or store an animation, camera, camera follow mode, trace path, or animation window settings in a model, attach a CAD shape, or make a MultiBody animation presentation-ready. Triggers on phrases like 'add a camera to the model', 'store the animation', 'follow the body with the camera', 'add a trace path', 'top/side/front view', 'animate this multibody model', 'attach a CAD file', 'the animation opens empty'.
What it loads into context
Frontmatter
183 tokensAlways available to the agent
SKILL.md
6,055 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The annotation
- Workflow
- CAD shapes
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
SKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytesSKILL.mdcore23,480 bytes../scripts/README.mddoc20,503 bytes../scripts/wsm_run.pyruns86,737 bytes
Read SKILL.md
# Annotate Modelica 3D Animation
Adds `__Wolfram(Animation(...))` annotations to a MultiBody model so Simulation
Center opens a configured 3D animation: named cameras, follow cameras, trace
paths, playback behavior and vector scaling — all stored in the model file.
Only models using `Modelica.Mechanics.MultiBody` components with a visual
representation get an Animation view. Simulate first (`simulate-modelica`):
you need the trajectory extents to place cameras and size the scene, and a
model that fails to simulate has no animation to configure.
Unlike the control-panel, graphics and plots annotators, this skill has no
generator engine — you author the annotation text and splice it in by hand,
then validate. That puts the merge-into-`annotation(...)` step (below) on you;annotate-modelica-graphics
When your agent uses it
Add Modelica graphical annotations (Icon + Diagram) to a text-only .mo model so it renders as a clean, laid-out schematic in Wolfram System Modeler. Use this skill whenever a model has no icons or diagram, or the user asks to add graphics, draw icons, lay out the diagram, place components, or make a model look right when opened in System Modeler. Triggers on phrases like 'add an icon to this model', 'lay out the diagram', 'the model has no graphics', 'make this render in System Modeler', 'add Placement/Line annotations', 'give these components icons', 'create a schematic'.
What it loads into context
Frontmatter
143 tokensAlways available to the agent
SKILL.md
8,820 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Running the annotator
- Cross-platform launcher (for the validation gate in step 5)
- Workflow
- Placement invariants
- Notes and edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
Schematic/__init__.pySchematic/classify.pySchematic/colors.pySchematic/icon.pySchematic/icons_lib.pySchematic/inject.pySchematic/layout.pySchematic/main.pySchematic/parser.pySchematic/pins.pySchematic/references.pySchematic/routing.py../scripts/wsm_run.py
Files
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Read SKILL.md
# Annotate Modelica Graphics
This skill adds graphical annotations to a text-only Modelica `.mo` file so it renders as a
clean schematic in Wolfram System Modeler. It is a **self-contained source transform** — it
parses the `.mo`, classifies each class, and splices annotations back into the source:
- **Category classes** (packages, runnable examples, records, functions) get the idiomatic
`extends Modelica.Icons.*;` base — the same icons the Modelica Standard Library uses.
- **Leaf components / sub-circuit building blocks** get a custom `Icon(graphics=…)` with their
connectors anchored on the icon boundary. This works for **any domain** — connector detection
spans every Modelica Standard Library domain (electrical, mechanical, rotational/translational,
MultiBody, control signals, thermal/heat, fluid, magnetic, digital, …) plus any `connector`
class defined in the file itself. Recognized component kinds get a hand-drawn glyph
(transistor, amplifier, tank, pump, valve, pipe, heat capacitor); anything else gets a genericannotate-modelica-plots
When your agent uses it
Add standardized Modelica result-plot annotations (Documentation(figures={Figure/Plot/Curve/Axis})) to a .mo model so simulation plots are stored in the model itself and reopen in Wolfram System Modeler. Use this skill whenever the user wants to store, embed, or save result plots in a model, define which variables to plot, add a figures annotation, or mark a time or a level on a stored plot with a labelled plot marker — a peak, a settling time, a threshold, a final value. Triggers on phrases like 'store the plots in the model', 'embed result plots', 'save these curves into the .mo', 'add a figures annotation', 'which variables should be plotted by default', 'mark the peak on the plot', 'add a marker at t = 2 s', 'show the settling time', 'draw a line at the limit', 'add measurements to the plot'.
What it loads into context
Frontmatter
200 tokensAlways available to the agent
SKILL.md
8,471 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The figures spec (JSON)
- Running the annotator
- Cross-platform launcher (for simulate / validate steps)
- Workflow
- Notes and edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
PlotAnnotate/__init__.pyPlotAnnotate/figures.pyPlotAnnotate/inject.pyPlotAnnotate/main.pyPlotAnnotate/parser.pyPlotAnnotate/simvars.pyPlotAnnotate/suggest.py../scripts/plot_mat.py../scripts/wsm_run.py
Files
PlotAnnotate/__init__.pyruns398 bytesPlotAnnotate/figures.pyruns15,546 bytesPlotAnnotate/inject.pyruns3,743 bytesPlotAnnotate/main.pyruns9,277 bytesPlotAnnotate/parser.pyruns1,132 bytesPlotAnnotate/simvars.pyruns1,480 bytesPlotAnnotate/suggest.pyruns1,878 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytesSKILL.mdcore32,907 bytes../scripts/README.mddoc20,503 bytes../scripts/plot_mat.pyruns7,885 bytes../scripts/wsm_run.pyruns86,737 bytes
Read SKILL.md
# Annotate Modelica Plots
This skill writes the **spec-standard** result-plot annotation into a Modelica `.mo` file so a
model carries its own simulation plots:
```modelica
annotation(Documentation(figures = {
Figure(identifier = "response", title = "Mass response", preferred = true,
plots = {
Plot(title = "Position and velocity",
curves = {Curve(x = time, y = s, legend = "position"),
Curve(x = time, y = v, legend = "velocity")},
x = Axis(label = "time"), y = Axis(label = "states", unit = ""))})}));
```create-hydraulic-model
When your agent uses it
Create Modelica models using the Hydraulic library with knowledge-graph-guided component selection and wiring. Use this skill whenever the user asks to create, build, design, or generate a hydraulic circuit or Modelica model using the Hydraulic library. Triggers on phrases like 'create a hydraulic model', 'build a circuit with a pump and cylinder', 'design a meter-in circuit', 'make a model with a directional valve', 'generate a hydraulic system', or any request to assemble Hydraulic library components into a working model. For the overall structure of a large model or library, consult modelica-model-architecture first.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
7,906 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before you run anything
- Knowledge Graph (bundled)
- Query Commands
- Validating & Simulating the Generated Model
- Guided Workflow
- Component Quick Reference
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
Hydraulic/__init__.pyHydraulic/main.pyHydraulic/query.py../scripts/wsm_run.py
Files
Hydraulic/__init__.pyruns196 bytesHydraulic/data/graph.jsonasset842,230 bytesHydraulic/main.pyruns10,300 bytesHydraulic/query.pyruns17,752 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytesSKILL.mdcore31,567 bytes../scripts/README.mddoc20,503 bytes../scripts/wsm_run.pyruns86,737 bytes
Read SKILL.md
# Create Hydraulic Model (Graph RAG Guided)
This skill uses a knowledge graph of the Hydraulic Modelica library to guide the user through creating valid hydraulic circuit models. The graph (built from **Hydraulic 2.1**) contains 168 parsed components with their ports, parameters, inheritance, and 60 validated connection patterns extracted from the library's composite models and 18 example circuits.
## Before you run anything
The query commands below run `python -m Hydraulic.main …`; the optional validation step
(Step 7) additionally drives the shared launcher. For the Windows-vs-Unix shell/Python
rules (PowerShell on Windows, `python` vs `python3`) and launcher conventions, see
[the shared-conventions appendix at the end of this file](#appendix-shared-conventions-for-the-modelica-skills) — the launcher-specific parts (temp dirs,
JSON output, MSL, `--load-library`) only matter once you validate.
## Knowledge Graph (bundled)
diagnose-modelica
When your agent uses it
Diagnose Modelica models (.mo files) by generating a detailed structural and simulation report. Use this skill whenever the user asks to diagnose, analyze, profile, or debug a Modelica model's structure, equations, variables, or performance. Triggers on phrases like 'diagnose this model', 'analyze the model structure', 'show me the equation blocks', 'how many states does this model have', 'why is this model slow', 'debug this model', 'model report', or any request to understand the internals of a Modelica model. It applies equally when you reach for it mid-task — a model you wrote yourself validates but will not build, simulates far too slowly, or gives an answer you cannot account for.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
9,399 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before you run anything
- Workflow
- Edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
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Read SKILL.md
# Diagnose Modelica Model
This skill generates a comprehensive diagnostic report for a Modelica model. You
run the model through the bundled launcher, then turn the artifacts it leaves
behind into a report with the bundled `report_blocks.py` / `trace_variable.py`
scripts. The report covers variable counts, equation structure, block analysis,
solver settings, and (if simulated) runtime performance.
## Before you run anything
This skill drives WSMKernelX through the shared launcher
`../scripts/wsm_run.py`. **Read [the shared-conventions appendix at the end of this file](#appendix-shared-conventions-for-the-modelica-skills)
first** — launcher resolution, the Windows-vs-Unix shell/Python rules, the
temp-dir and cleanup conventions, the JSON-array output gotcha, and the MSL 4.xminimize-modelica-bug
When your agent uses it
Reduce a Modelica model that triggers a System Modeler compiler failure (an internal error, generated code that fails to compile, a simulator internal error or a kernel crash) to the smallest model that still fails the same way, and prepare a bug report for Wolfram support. Use this skill whenever the launcher prints a `=== compiler failure ===` block or reports a `compiler_failure`, or the user mentions an 'internal error', 'Fatal failure', 'the compiler crashed', 'generated code failed to compile', 'report this bug to Wolfram', 'make a minimal example' or 'reduce this model for a bug report'. It applies just as much when the failure turns up mid-task in a model you wrote yourself: a compiler failure is a fault in System Modeler, not something to work around silently.
What it loads into context
Frontmatter
174 tokensAlways available to the agent
SKILL.md
6,560 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before you run anything
- Workflow
- Edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/minimize_mo.py../scripts/wsm_run.py
Files
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Read SKILL.md
# Minimize a Modelica Compiler Bug
A *compiler failure* is a fault in System Modeler itself rather than in the
model. Examples are an `Internal error`, generated code that does not compile,
and a simulator that stops with an internal error. This skill shrinks the
failing model to the smallest one that still fails with the same message, and
writes a short report the user can send to Wolfram support. A small
reproduction gets a bug fixed; a 5,000-line proprietary model usually does not.
Ordinary model errors are not compiler failures: type, lookup and balance errors,
failed assertions, or a solver giving up. Fix those in the model instead, using
`validate-modelica` or `diagnose-modelica`.
## Before you run anythingmodelica-model-architecture
When your agent uses it
Architecture and structuring guidance for Wolfram System Modeler / Modelica (.mo) models and libraries. Use this skill BEFORE writing equations whenever creating, implementing, structuring, or refactoring a model or library, to decide component decomposition, connectors, component reuse, file/folder layout, units, and naming. Triggers on phrases like 'create/build a Modelica model', 'implement this model/paper in Modelica', 'make a WSM model', 'write a Modelica library', 'structure this model', 'single .mo file vs directory', 'split this into components', 'refactor this model/library'. Before writing a multi-class library, consult it to choose directory-form (one class per file) storage over a single .mo — also when the library is your own idea, such as a circuit or mechanism modelled to validate something else against it. For a specific component library (e.g. create-hydraulic-model) defer to that domain skill.
What it loads into context
Frontmatter
208 tokensAlways available to the agent
SKILL.md
8,996 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Working method
- 1. Reuse before building (priority order)
- 2. Components by default; design the connector first
- 3. Composition vs inheritance (two reuse axes - don't conflate)
- 4. Granularity
- 5. Monolith exception
- 6. One class per file (for version control)
- 7. Units - always declare
- 8. Conventions
- 9. Definition of done
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
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Read SKILL.md
# WSM / Modelica model architecture
Use this when creating or restructuring a WSM/Modelica model or library —
**before** writing equations. This skill covers the architecture and structuring
decisions that come first (sections 1-7), then the library conventions —
naming, plots, documentation HTML, testing, icons, library shape — that a model
or library must meet before it is "done" (sections 8-9). Read sections 8-9
before declaring a library done.
The default in Modelica is **object-oriented decomposition into reusable
components**. Reach for a flat all-in-one model only under the explicit
exception in section 5.
## Working methodsearch-modelica-docs
When your agent uses it
Search the bundled Modelica and Wolfram System Modeler documentation for authoritative answers, then cite the source. Use this skill whenever the user asks a how-to, what-is, or why question about the Modelica language (syntax, semantics, equations, arrays, connectors, annotations, the specification), about Wolfram System Modeler (building/simulating models, the GUI, tutorials, release notes), or about the Modelica Standard Library (which component to use, its parameter names and defaults, example models). Triggers on phrases like 'how do I write a when statement', 'what does the Modelica spec say about ...', 'how do I simulate this in System Modeler', 'is this valid Modelica', 'which MSL block does ...', 'what are the parameters of Modelica.X.Y', 'find an example model that ...'. Also use it while writing a model that uses MSL components, to ground parameter names and wiring instead of recalling them. Prefer it over answering from memory.
What it loads into context
Frontmatter
214 tokensAlways available to the agent
SKILL.md
1,782 tokensWhen the skill is activated
Reference documents
1,114 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The three corpora (and how to route)
- Requirements
- Commands
- Workflow
- Notes
Scripts executed separately
docsearch/__init__.pydocsearch/index.pydocsearch/main.py
Files
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Read SKILL.md
# Search Modelica & System Modeler Documentation (BM25)
A self-contained, **offline** documentation search. It ranks passages with BM25
(pure Python standard library — **no third-party packages, no network, no API**)
over three prebuilt corpora and returns the matching chunks with their citation
URLs. Use it to ground answers in real documentation instead of recalling from
memory.
Answering the question is often not the whole job: once the answer points at a
model, the rest of the System Modeler toolkit is available — `validate-modelica`
to check one compiles, `simulate-modelica` to run it, `diagnose-modelica` when it
will not build or is unaccountably slow, `modelica-model-architecture` before
writing one, and the `annotate-*` skills for icons, diagrams and stored plots.
simulate-and-plot-modelica
When your agent uses it
Simulate a Modelica model and plot the results — reads the simulated .mat with DyMat and plots chosen variables over time. Use this skill whenever the user asks to simulate and plot a model, plot simulation results, plot or graph specific variables over time, or visualize a model's time-domain behavior. Triggers on phrases like 'simulate and plot', 'plot the results', 'plot these variables', 'graph the output', 'show me the trajectories', or any request to visualize simulation output. Prefer this over simulate-modelica whenever the request involves plotting or visualizing results. For analysis beyond plotting — checking limits/requirements, violations, parameter sweeps, Monte Carlo, calibration — prefer the wolfram-language-modelica skill when Wolfram Language is available; use this skill's Python path when it is not.
What it loads into context
Frontmatter
175 tokensAlways available to the agent
SKILL.md
5,797 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Prerequisites
- Before you run anything
- Temporary Directory
- Workflow
- Inspecting data inline
- File-efficiency rules
- Edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
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Read SKILL.md
# Simulate and Plot
This skill simulates a Modelica model and plots the results: it runs the
simulation to produce a `.mat`, then reads chosen variables from it with DyMat
and plots them over time. No reference data is needed.
**Scope check before starting:** if the request goes beyond plotting —
verifying limits or requirements, finding violations, parameter sweeps, Monte
Carlo, fitting/calibration — and Wolfram Language is available (e.g. a Wolfram
MCP tool or `wolframscript`), hand the task to the `wolfram-language-modelica`
skill instead: the built-in `SystemModel*` functions do that analysis natively.
Use this skill's Python analysis path only when Wolfram Language is not
available.
simulate-modelica
When your agent uses it
Simulate Modelica models (.mo files) with WSMKernelX — compiles to C++, builds, and runs the simulation (no plotting; to plot the results too, use simulate-and-plot-modelica). Use this skill whenever the user asks to simulate a Modelica model, run a simulation, or get simulation results or time-domain behavior. Triggers on phrases like 'simulate this model', 'run the simulation', 'get simulation results'. Use it also when running a model is a step in a larger job you took on yourself — verifying a port, a datasheet claim or a hand-written implementation against a model built for the purpose — even if the request never mentioned Modelica. If the request also involves analysis — limits/requirements, violations, parameter sweeps, Monte Carlo, calibration — prefer wolfram-language-modelica when Wolfram Language is available.
What it loads into context
Frontmatter
184 tokensAlways available to the agent
SKILL.md
6,111 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before you run anything
- Workflow
- Edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
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Read SKILL.md
# Simulate Modelica Model
This skill simulates Modelica models (.mo files) with WSMKernelX: it flattens the model, generates C++ code, compiles it, and runs the simulation. It produces a `.mat` results file.
## Before you run anything
This skill drives WSMKernelX through the shared launcher
`../scripts/wsm_run.py`. **Read [the shared-conventions appendix at the end of this file](#appendix-shared-conventions-for-the-modelica-skills)
first** — launcher resolution, the Windows-vs-Unix shell/Python rules, the
temp-dir and cleanup conventions, the JSON-array output gotcha, and the MSL 4.x
dialect notes that every step below assumes.
The launcher works in `_wsm_simulate_temp/` next to the `.mo` file and leaves
`simulate.out.json` and the `.mat` there. Tell the user: "Working in temporarysimulate-modelica-realtime
When your agent uses it
Run a compiled Modelica model as a live, real-time simulation server and interact with it over the System Modeler simulation TCP interface: start, pause, resume and stop it, set inputs and tunable parameters while it runs, read and stream values, or send raw protocol commands, on an executable it launches or one already running in Simulation Center. Use it whenever a simulation must run in real time or as a server, take input or parameter changes mid-run, be driven from Python or another program, or feed an operator, hardware-in-the-loop or live-dashboard demo. Triggers on phrases like 'run in real time', 'simulate in server mode', 'connect to the running simulation', 'change the input while it runs', 'stream simulation values', 'hardware in the loop', 'simulation server', 'TCP interface of the simulation'. For one-shot simulations use simulate-modelica; for live interaction from Wolfram Language use wolfram-language-modelica.
What it loads into context
Frontmatter
203 tokensAlways available to the agent
SKILL.md
6,671 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Get a simulation to talk to
- 2. Inspect the interface as the server sees it
- 3. Run a scripted scenario
- 4. Send protocol commands directly
- 5. Live view with controls
- 6. Custom logic from Python
- Behaviour to rely on
- Protocol, for clients in other languages
- 7. Report and clean up
- Edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
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Read SKILL.md
# Talk to a simulation executable
Every simulation System Modeler builds is an executable plus a `.sim` settings file, and every
running simulation has a built-in TCP server. A client can start, pause, resume and stop the run,
set top-level inputs at any time, set tunable parameters while the solver runs, read any variable,
and subscribe to variables that are then streamed while it runs. This skill does that with the
stdlib-only client `<scripts-dir>/wsmsim.py` and its command line `<scripts-dir>/wsm_realtime.py`.
Resolve `<scripts-dir>` as in [Appendix → Locating the launcher](#locating-the-launcher),
and follow its shell and Python rules per OS.
## 1. Get a simulation to talk to
Either of these works:
validate-modelica
When your agent uses it
Validate Modelica models (.mo files) by flattening them with WSMKernelX. Use this skill whenever the user asks to validate, check, test, or verify a Modelica model, or when you've just created or edited a .mo file and want to confirm it compiles. Triggers on phrases like 'validate this model', 'check my .mo file', 'does this Modelica model compile', 'flatten the model', or any mention of checking Modelica code with WSMKernelX. It applies just as much when Modelica is a means to another end and you chose it yourself — modelling a circuit, mechanism or process to check some other implementation against it — and neither Modelica nor System Modeler was ever named in the request.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
5,017 tokensWhen the skill is activated
Reference documents
5,219 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before you run anything
- Workflow
- Edge cases
- Appendix: shared conventions for the Modelica skills
Scripts executed separately
../scripts/wsm_run.py
Files
../scripts/README.mddoc20,503 bytes../scripts/wsm_run.pyruns86,737 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytesSKILL.mdcore19,853 bytes
Read SKILL.md
# Validate Modelica Model
This skill validates Modelica models (.mo files) by flattening them with WSMKernelX, which checks for structural errors (equations, types, connections). A successful flatten means the model is structurally valid.
## Before you run anything
This skill drives WSMKernelX through the shared launcher
`../scripts/wsm_run.py`. **Read [the shared-conventions appendix at the end of this file](#appendix-shared-conventions-for-the-modelica-skills)
first** — launcher resolution, the Windows-vs-Unix shell/Python rules, the
temp-dir and cleanup conventions, the JSON-array output gotcha, and the MSL 4.x
dialect notes that every step below assumes.
The launcher writes everything into `_wsm_validate_temp/` next to the `.mo`
file and leaves `validate.out.json` there for you to parse. Tell the user:wolfram-language-modelica
When your agent uses it
Simulate and analyze Modelica models from Wolfram Language / a notebook (WSM SystemModel* functions, WSMRealTimeSimulate) — extract numerical results and make custom plots. Use this skill whenever the user wants to work with a Modelica model inside WL — parameter sweeps, time series in Wolfram arrays (AnomalyDetection, Predict, SystemModelCalibrate), validating against requirements (SystemModelValidate, Monte Carlo, uncertainty bands), training surrogates, custom plots, or driving a live simulation from a notebook. Triggers on phrases like 'simulate this model in WL', 'get the results into Wolfram Language', 'SystemModelSimulate', 'SystemModelPlot', 'sweep a parameter', 'validate against requirements', 'stays within limits', 'show me any violations', 'uncertainty plot', 'train a surrogate', 'real-time simulation in a notebook', 'WSMRealTimeSimulate'. To run a compiled simulator in real time from a script or program, use simulate-modelica-realtime.
What it loads into context
Frontmatter
222 tokensAlways available to the agent
SKILL.md
9,062 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use which
- Official reference docs (LLM-friendly variant)
- Prerequisites — Wolfram Language + the Wolfram MCP server
- Core workflow
- Canonical end-to-end example
- Gotchas
- Requirements and validation
- Parameter calibration (fitting a model to measured data)
- Interactive exploration with sliders (`SystemModelManipulate`)
- Real-time interactive simulation (`WSMRealTimeSimulate`)
- Common follow-on tools
- Writing results to disk
Files
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Read SKILL.md
# System Modeling with Wolfram Language
This skill covers how to drive Modelica simulation from Wolfram Language using the built-in `SystemModel*` family. Use this when the downstream work lives in WL, for example, analysis of simulated data, calibration, optimization, surrogates, custom plots.
For pure command-line simulation / validation with no WL work afterward, prefer the `simulate-modelica` or `validate-modelica` skills — they are faster because they avoid kernel startup and WL context.
## When to use which
| Goal | Use |
|------|-----|
| Does this `.mo` compile? | `validate-modelica` |
| Run a sim, get pass/fail + log | `simulate-modelica` |
| Debug torn systems, stiff init, blocks | `diagnose-modelica` |
| Pull time series into WL for `Predict` / `AnomalyDetection` / `Fit` | **this skill** |Skills included
- annotate-control-panel
- annotate-modelica-animation
- annotate-modelica-graphics
- annotate-modelica-plots
- create-hydraulic-model
- diagnose-modelica
- minimize-modelica-bug
- modelica-model-architecture
- search-modelica-docs
- simulate-and-plot-modelica
- simulate-modelica
- simulate-modelica-realtime
- validate-modelica
- wolfram-language-modelica
Repository facts
- License
- MIT
- Created
- Jun 24, 2026
- Last pushed
- Nov 6, 2026
- Forks
- 7
- Open issues
- 0
- Project activity
- Active
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 7, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 378 notes
annotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-control-panel/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedannotate-modelica-animation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 61 dangerous shell commandsin 13 files: scripts/wsm_run.py:289 annotate-modelica-graphics/SKILL.md:194 annotate-control-panel/SKILL.md:280 and 10 more
- 33 network referencesin 7 files: search-modelica-docs/ATTRIBUTION.md:9 modelica-model-architecture/SKILL.md:207 wolfram-language-modelica/SKILL.md:31 and 4 more
- 18 obfuscation signalsin 1 file: search-modelica-docs/docsearch/data/spec.json:81
- No instruction overrides
- 47 executable scriptsin 36 files: scripts/wsm_run.py:1 annotate-control-panel/ControlPanel/__init__.py:1 annotate-control-panel/ControlPanel/discover.py:1 and 33 more
- 161 references to secretsin 6 files: scripts/wsm_run.py:96 annotate-control-panel/ControlPanel/parser.py:13 annotate-modelica-graphics/Schematic/parser.py:13 and 3 more
- No requests to vote in Hot
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annotate-modelica-plots/SKILL.md
create-hydraulic-model/Hydraulic/__init__.py
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create-hydraulic-model/Hydraulic/query.py
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create-hydraulic-model/SKILL.md
diagnose-modelica/SKILL.md
minimize-modelica-bug/SKILL.md
modelica-model-architecture/SKILL.md
- Network accessline 207
- **camelCase, no underscores** for parameters and variables, starting lower case (`heatSource`), following the [MSL naming conventions](https://reference.wolfram.com/system-modeler/libraries/Modelica/Modelica.UsersGuide.Conventions.Mod - Network accessline 208
case (`heatSource`), following the [MSL naming conventions](https://reference.wolfram.com/system-modeler/libraries/Modelica/Modelica.UsersGuide.Conventions.ModelicaCode.Naming.html). - Use **meaningful names** — `enthalpy`, not `h`. - Network accessline 209
[MSL naming conventions](https://reference.wolfram.com/system-modeler/libraries/Modelica/Modelica.UsersGuide.Conventions.ModelicaCode.Naming.html). - Network accessline 304
- **Every class has an icon.** Follow the [MSL icon conventions](https://reference.wolfram.com/system-modeler/libraries/Modelica/Modelica.UsersGuide.Conventions.Icons.html), - Network accessline 305
[MSL icon conventions](https://reference.wolfram.com/system-modeler/libraries/Modelica/Modelica.UsersGuide.Conventions.Icons.html), - Dangerous shell operationline 443
shell-agnostic. For cleanup use `Remove-Item -Recurse -Force`, not `rm -rf`. - Dangerous shell operationline 533
rm -rf "<model-dir>/_wsm_<mode>_temp" # macOS / Linux
scripts/minimize_mo.py
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[Credential-related source omitted] - Access to secretsline 163
[Credential-related source omitted] - Access to secretsline 163
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 237
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 241
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 242
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 289
"(Debian/Ubuntu: sudo apt install linux-tools-common " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 290
"linux-tools-$(uname -r); Fedora: sudo dnf install perf), or point " - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Dangerous shell operationline 301
"with: sudo sysctl kernel.perf_event_paranoid=2" % paranoid) - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 366
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 377
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 521
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted] - Access to secretsline 1341
[Credential-related source omitted]
search-modelica-docs/ATTRIBUTION.md
- Network accessline 9
- **Title:** Modelica Language Specification, version 3.6 - **Author / publisher:** Modelica Association and contributors - **Source:** <https://specification.modelica.org/maint/3.6/> - Network accessline 10
- **Author / publisher:** Modelica Association and contributors - **Source:** <https://specification.modelica.org/maint/3.6/> - **Copyright:** © 1998–2023 Modelica Association and contributors - Network accessline 11
- **Source:** <https://specification.modelica.org/maint/3.6/> - Network accessline 12
- **Copyright:** © 1998–2023 Modelica Association and contributors - **License:** Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) — <https://creativecommons.org/licenses/by-sa/4.0/> - Network accessline 14
(CC BY-SA 4.0) — <https://creativecommons.org/licenses/by-sa/4.0/> - Network accessline 33
release notes), version 15.0 - **Author / publisher:** Wolfram Research, Inc. - **Source:** <https://reference.wolfram.com/system-modeler/> - Network accessline 34
- **Author / publisher:** Wolfram Research, Inc. - **Source:** <https://reference.wolfram.com/system-modeler/> - **Copyright:** © Wolfram Research, Inc. - Network accessline 35
- **Source:** <https://reference.wolfram.com/system-modeler/> - Network accessline 42
keyed by its source URL, for offline BM25 search. The excerpts remain © Wolfram Research, Inc.; when quoting them, cite the source URL on <https://reference.wolfram.com>. - Network accessline 44
<https://reference.wolfram.com>. - Network accessline 48
- **Title:** Modelica Standard Library (MSL), version 4.0.0 - **Author / publisher:** Modelica Association and contributors - **Source:** <https://github.com/modelica/ModelicaStandardLibrary> - Network accessline 49
- **Author / publisher:** Modelica Association and contributors - **Source:** <https://github.com/modelica/ModelicaStandardLibrary> - **Copyright:** © 1998–2020 Modelica Association and contributors - Network accessline 50
- **Source:** <https://github.com/modelica/ModelicaStandardLibrary> - Network accessline 51
- **Copyright:** © 1998–2020 Modelica Association and contributors - **License:** BSD 3-Clause — <https://github.com/modelica/ModelicaStandardLibrary/blob/master/LICENSE> - Network accessline 53
<https://github.com/modelica/ModelicaStandardLibrary/blob/master/LICENSE>
search-modelica-docs/SKILL.md
- Network accessline 67
# Read the FULL text of a specific result (paste its exact url). python -m docsearch.main --show "https://specification.modelica.org/maint/3.6/statements-and-algorithm-sections.html#4gfvu7z5m8rutn1wqr3gsd7mr" - Network accessline 68
python -m docsearch.main --show "https://specification.modelica.org/maint/3.6/statements-and-algorithm-sections.html#4gfvu7z5m8rutn1wqr3gsd7mr"
search-modelica-docs/docsearch/__init__.py
- Executable scriptline 1
Executable file
search-modelica-docs/docsearch/data/docs.json
- Network accessline 1
{"https://reference.wolfram.com/system-modeler/WhatsNew/WhatsNewIn150.html#832aylcs9ygdhe1h81dtbjsso": "# What's New in Wolfram System Modeler 15.0\nhttps://reference.wolfram.com/system-modeler/WhatsNew/WhatsNewIn150.html#832aylcs9ygdhe1h81
search-modelica-docs/docsearch/data/spec.json
- Possible obfuscationline 81
"https:\/\/specification.modelica.org\/maint\/3.6\/arrays.html#73lxths6v6s490d6lyduxrvqj":"# Modelica Language Specification > Arrays > Built-in Array Functions > Specialized Array Constructor Functions > Operator 10.13 linspace\nhttps:\/\/ - Network accessline 156
"https:\/\/specification.modelica.org\/maint\/3.6\/class-predefined-types-and-declarations.html#dbv7wku1xnyw2t7pf3i2q46gk":"# Modelica Language Specification > Classes, Predefined Types, and Declarations > Predefined Types and Classes > Enu - Network accessline 157
"https:\/\/specification.modelica.org\/maint\/3.6\/class-predefined-types-and-declarations.html#68kp0py15os0gx1ks5yitxw2x":"# Modelica Language Specification > Classes, Predefined Types, and Declarations > Predefined Types and Classes > Enu - Possible obfuscationline 188
"https:\/\/specification.modelica.org\/maint\/3.6\/derivation-of-stream-equations.html#q390lzzcanpvf8wks2lsvw6i":"# Modelica Language Specification > Mixing Enthalpy\nhttps:\/\/specification.modelica.org\/maint\/3.6\/derivation-of-stream-eq - Possible obfuscationline 189
"https:\/\/specification.modelica.org\/maint\/3.6\/derivation-of-stream-equations.html#eyfg5z8jib6wk2ij44cf6u2ji":"# Modelica Language Specification > Rationale for inStream\nhttps:\/\/specification.modelica.org\/maint\/3.6\/derivation-of-s - Possible obfuscationline 191
"https:\/\/specification.modelica.org\/maint\/3.6\/derivation-of-stream-equations.html#5awnhxozw0jrodvxu6wrr6gz5":"# Modelica Language Specification > Special Cases Covered by inStream Definition > One to One Connections – Connection of 2 S - Possible obfuscationline 216
"https:\/\/specification.modelica.org\/maint\/3.6\/equations.html#9lcfeximdilarfovaok41ga6a":"# Modelica Language Specification > Equations > Initialization, initial equation, and initial algorithm > Equations Needed for Initialization\nhtt - Possible obfuscationline 241
"https:\/\/specification.modelica.org\/maint\/3.6\/functions.html#dzfq3vf5epzbfdmwr6k3x8qw0":"# Modelica Language Specification > Functions > Derivatives and Inverses of Functions > Using the Derivative Annotation\nhttps:\/\/specification.m - Possible obfuscationline 343
"https:\/\/specification.modelica.org\/maint\/3.6\/modelica-dae-representation.html#1vmpry488c3m97r6i78ok2xj":"# Modelica Language Specification > Modelica DAE Representation\nhttps:\/\/specification.modelica.org\/maint\/3.6\/modelica-dae-r - Possible obfuscationline 373
"https:\/\/specification.modelica.org\/maint\/3.6\/operators-and-expressions.html#exgi358vwa14syla0c4clg5ag":"# Modelica Language Specification > Operators and Expressions > Built-in Intrinsic Operators with Function Syntax > Elementary Mat - Possible obfuscationline 374
"https:\/\/specification.modelica.org\/maint\/3.6\/operators-and-expressions.html#46qy8ddmvnx7dzs5yee3t211l":"# Modelica Language Specification > Operators and Expressions > Built-in Intrinsic Operators with Function Syntax > Elementary Mat - Possible obfuscationline 388
"https:\/\/specification.modelica.org\/maint\/3.6\/operators-and-expressions.html#c9alyf1fdbresftpn41zzlkme":"# Modelica Language Specification > Operators and Expressions > Built-in Intrinsic Operators with Function Syntax > Derivative and - Possible obfuscationline 396
"https:\/\/specification.modelica.org\/maint\/3.6\/operators-and-expressions.html#ewfqgm6t93qqk0p4mdtghl6gk":"# Modelica Language Specification > Operators and Expressions > Built-in Intrinsic Operators with Function Syntax > Event-Related - Possible obfuscationline 409
"https:\/\/specification.modelica.org\/maint\/3.6\/overloaded-operators.html#c8u77mvf08s7uruhvmcsb9ld9":"# Modelica Language Specification > Overloaded Operators > Matching Function\nhttps:\/\/specification.modelica.org\/maint\/3.6\/overloa - Possible obfuscationline 491
"https:\/\/specification.modelica.org\/maint\/3.6\/stream-connectors.html#e1xe8iq3xw8ghgshoo1ktz8y5":"# Modelica Language Specification > Stream Connectors > inStream and Connection Equations\nhttps:\/\/specification.modelica.org\/maint\/3. - Possible obfuscationline 497
"https:\/\/specification.modelica.org\/maint\/3.6\/synchronous-language-elements.html#hrjskla9hpt3cp13qwzmt3oy":"# Modelica Language Specification > Synchronous Language Elements > Definitions > Clocks and Clocked Variables > Definition 16. - Possible obfuscationline 498
"https:\/\/specification.modelica.org\/maint\/3.6\/synchronous-language-elements.html#5wl6sotzh6mwmgaqs7qana7f7":"# Modelica Language Specification > Synchronous Language Elements > Definitions > Clocks and Clocked Variables > Definition 16 - Possible obfuscationline 499
"https:\/\/specification.modelica.org\/maint\/3.6\/synchronous-language-elements.html#5s689wb3v64vj0edv5a3qqg8g":"# Modelica Language Specification > Synchronous Language Elements > Definitions > Clocks and Clocked Variables > Definition 16 - Possible obfuscationline 527
"https:\/\/specification.modelica.org\/maint\/3.6\/synchronous-language-elements.html#75wanhbfjowpzgfati29erdt3":"# Modelica Language Specification > Synchronous Language Elements > Clock Partitioning > Connected Components of the Equations - Possible obfuscationline 529
"https:\/\/specification.modelica.org\/maint\/3.6\/synchronous-language-elements.html#3ch3eoovg04j1s41dnutsjx6z":"# Modelica Language Specification > Synchronous Language Elements > Clock Partitioning > Sub-Clock Partitioning\nhttps:\/\/spe
search-modelica-docs/docsearch/index.py
search-modelica-docs/docsearch/main.py
- Executable scriptline 1
Executable file - Network accessline 4
python -m docsearch.main --query "how do I write a when statement" --k 5 python -m docsearch.main --query "fluid tank tutorial" --corpus systemmodeler python -m docsearch.main --show "https://reference.wolfram.com/system-modeler/... - Network accessline 5
python -m docsearch.main --query "fluid tank tutorial" --corpus systemmodeler python -m docsearch.main --show "https://reference.wolfram.com/system-modeler/..." python -m docsearch.main --eval --k 5 - Network accessline 6
python -m docsearch.main --show "https://reference.wolfram.com/system-modeler/..."
simulate-and-plot-modelica/SKILL.md
simulate-modelica-realtime/SKILL.md
simulate-modelica/SKILL.md
validate-modelica/SKILL.md
wolfram-language-modelica/SKILL.md
- Network accessline 31
- Hub: `https://reference.wolfram.com/language/guide/SystemModelingOverview.en.md` - Network accessline 32
- Any `SystemModel*` function: `https://reference.wolfram.com/language/ref/<Name>.en.md` - Network accessline 34
- `` WSMLink` `` (real-time) functions: `https://reference.wolfram.com/system-modeler/WSMLink/ref/<Name>.en.md` - Network accessline 81
up in the client after restart, or evaluations fail — point the user to the official setup and troubleshooting page: **https://www.wolfram.com/artificial-intelligence/mcp/local/** - Network accessline 83
**https://www.wolfram.com/artificial-intelligence/mcp/local/**
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 299 facts
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/__init__.py:1Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/discover.py:1Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/inject.py:1Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/main.py:1Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/panels.py:1Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/parser.py:1Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueannotate-control-panel/ControlPanel/parser.py:13Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/simvars.py:1Low confidence
- Executable script in prose of a file that runsannotate-control-panel/ControlPanel/suggest.py:1Low confidence
- Dangerous shell operation in prose of the SKILL.mdannotate-control-panel/SKILL.md:280Low confidence
- Dangerous shell operation in code of the SKILL.mdannotate-control-panel/SKILL.md:370High confidence
- Dangerous shell operation in prose of the SKILL.mdannotate-modelica-animation/SKILL.md:223Low confidence
- Dangerous shell operation in code of the SKILL.mdannotate-modelica-animation/SKILL.md:313High confidence
- Dangerous shell operation in prose of the SKILL.mdannotate-modelica-graphics/SKILL.md:194Low confidence
- Dangerous shell operation in prose of the SKILL.mdannotate-modelica-graphics/SKILL.md:383Low confidence
- Dangerous shell operation in code of the SKILL.mdannotate-modelica-graphics/SKILL.md:473High confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/__init__.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/classify.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/colors.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/icon.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/icons_lib.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/inject.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/layout.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/main.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/parser.py:1Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueannotate-modelica-graphics/Schematic/parser.py:13Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/pins.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/references.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-graphics/Schematic/routing.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/__init__.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/figures.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/inject.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/main.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/parser.py:1Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueannotate-modelica-plots/PlotAnnotate/parser.py:13Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/simvars.py:1Low confidence
- Executable script in prose of a file that runsannotate-modelica-plots/PlotAnnotate/suggest.py:1Low confidence
- Dangerous shell operation in prose of the SKILL.mdannotate-modelica-plots/SKILL.md:357Low confidence
- Dangerous shell operation in code of the SKILL.mdannotate-modelica-plots/SKILL.md:447High confidence
- Executable script in prose of a file that runscreate-hydraulic-model/Hydraulic/__init__.py:1Low confidence
- Executable script in prose of a file that runscreate-hydraulic-model/Hydraulic/main.py:1Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuecreate-hydraulic-model/Hydraulic/main.py:40Low confidence
- Executable script in prose of a file that runscreate-hydraulic-model/Hydraulic/query.py:1Low confidence
- Dangerous shell operation in prose of the SKILL.mdcreate-hydraulic-model/SKILL.md:427Low confidence
- Dangerous shell operation in code of the SKILL.mdcreate-hydraulic-model/SKILL.md:517High confidence
- Dangerous shell operation in prose of the SKILL.mddiagnose-modelica/SKILL.md:476Low confidence
- Dangerous shell operation in code of the SKILL.mddiagnose-modelica/SKILL.md:566High confidence
- Dangerous shell operation in prose of the SKILL.mdminimize-modelica-bug/SKILL.md:268Low confidence
- Dangerous shell operation in code of the SKILL.mdminimize-modelica-bug/SKILL.md:358High confidence
- Network access in prose of the SKILL.mdmodelica-model-architecture/SKILL.md:207Low confidence
and 249 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md annotate-control-panel/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md annotate-control-panel/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md annotate-control-panel/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md annotate-control-panel/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md annotate-control-panel/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md annotate-control-panel/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
