Individual skill
diagnose-modelica
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.
diagnose-modelica/SKILL.md
Source commit af6615a05ab455d4fb85b45f29343835f61a08c7
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 20
- Repository last updated
- Nov 6, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- modelica Repository topic
- wolfram Repository topic
- wolfram-language Repository topic
- system-modeler Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytesSKILL.mdcore · 38,947 bytes
Read excerpt
# 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.x