mbse-architecture
MBSE-architecture provides idempotent build scripts for constructing three-layer System Composer models (Functional, Logical, Physical) with interface dictionaries, stereotype profiles, and allocation sets in MATLAB. Use this skill when implementing RFLPV architecture phases, defining stereotype properties, establishing functional-to-logical and logical-to-physical allocations, mapping requirements via slreq links, or running quantitative rollup analysis. Defer to building-simulink-models for one-off interactive edits to existing models.
git clone --depth 1 https://github.com/matlab/agent-skills-playground /tmp/mbse-architecture && cp -r /tmp/mbse-architecture/demos/mbse-with-agentic-ai/skills/mbse-architecture ~/.claude/skills/mbse-architectureSKILL.md
# MBSE Architecture, Allocation & Analysis (Phases 3–6)
See the `system-composer` skill for the full System Composer API reference
(interfaces, ports, connections, auto-layout). This skill covers the
MBSE-specific decisions and patterns layered on top, plus allocation and analysis.
For analysis details see `references/analysis.md` (prose) plus
`code/myRollupAnalysis.m` and `code/runMyAnalysis.m` (templates).
---
## When to defer to `building-simulink-models` / `model_edit`
This skill produces reusable idempotent build scripts — the whole three-layer architecture, its interface dictionaries, profile, and allocation sets, built from scratch in one `buildAll()` run. That is its sweet spot.
For **one-off edits** to an already-built SC model — adding a single SubSystem to explore a variant, tweaking one port name, renaming a component — prefer SATK's `building-simulink-models` with the `model_edit` MCP tool. `model_edit` handles autolayout, undo, and error recovery automatically and is faster for interactive tweaks.
Once the MBSE model is in a state where you need to round-trip it through `buildPhysical.m` etc. again (for example because you added a stereotype property or changed an allocation), go back to this skill — the `buildXxx.m` scripts will rebuild from scratch and all of `model_edit`'s ad-hoc changes will be overwritten. That is intentional: the build scripts are the source of truth.
**Never mix the two in one script.** The two skills use different System Composer API layers (architecture-modeling vs. block-diagram). See the `system-composer` skill's "When to use this skill vs. `building-simulink-models`" section for the API-layer differences.
---
## Three-Model Architecture (RFLPV)
The MBSE workflow uses three separate System Composer models, one per layer:
| Model | Layer | Answers | Interface style |
|---|---|---|---|
| `MyFunctional.slx` | F — Functions | What does the system *do*? | Abstract flows, solution-neutral |
| `MyLogical.slx` | L — Logical | What *kind* of element solves it? | Typed signals, design-agnostic |
| `MyPhysical.slx` | P — Physical | *How* is it built? | Concrete fields, physical units |
Each model has its own interface dictionary at the appropriate abstraction level.
All three dictionaries are independent — no model script depends on another being open.
**Build order: Functional first, Logical second, Physical third.**
These three models are *structural* views. For a *behavioral* companion (message sequences across components for a specific scenario), attach a System Composer Interaction to the Logical model — see [`system-composer/SKILL.md#sequence-diagrams`](../system-composer/SKILL.md#sequence-diagrams). The Logical layer is the natural home because it's stable across Physical-layer variant trade studies.
The Logical layer is the key distinction from classic RFLP. Logical components are
design-agnostic solution principles (e.g., `SensingUnit`, `ControlUnit`, `ActuationUnit`)
— they commit to *what kind* of element is needed without specifying vendor, geometry,
or implementation. Physical components are the actual realization.
---
### Functional architecture model (`MyFunctional.slx`) — build first
What the system *does* — logical functions and the abstract information flows
between them. Creates and owns the functional interface dictionary.
See [`code/buildMyFunctional.m`](code/buildMyFunctional.m) for the full parameterized function:
```
buildMyFunctional(modelName, dictFile, archDir)
```
---
### Logical architecture model (`MyLogical.slx`) — build second
What kind of element solves each function — solution principles without physical
commitment. Creates and owns the logical interface dictionary.
See [`code/buildMyLogical.m`](code/buildMyLogical.m) for the full parameterized function:
```
buildMyLogical(modelName, dictFile, archDir)
```
**Naming guidance for logical components:** Use nouns that describe the *role* of the
solution element, not the specific hardware. Good: `SensingUnit`, `ControlUnit`,
`ActuationUnit`, `PowerConverter`. Avoid hardware brand names or part numbers — those
belong in the Physical layer.
**Interface guidance:** Logical interfaces sit between functional (abstract flows) and
physical (hardware-spec signals). Include typed fields with semantic meaning but without
datasheet-level specifics — no voltage ranges, baud rates, or tolerance values.
---
### Physical architecture model (`MyPhysical.slx`) — build third
What the system *implements* — hardware/software components, physical interfaces,
and stereotype properties. Creates and owns the physical interface dictionary.
See [`code/buildMyModel.m`](code/buildMyModel.m) for the full parameterized function:
```
buildMyModel(modelName, dictFile, archDir)
```
**Key gotchas:**
- `modelName` must be a double-quoted MATLAB string so `char(modelName) + ".slx"` concatenates; single-quoted char + char does arithmetic
- `addpath(archDir)` before `createDictionary` and `createModel` — SC resolves files via MATLAB path
- `Simulink.data.dictionary.closeAll("-discard")` before creating a new dictionary — stale handles from a prior run block `createDictionary`
- Re-fetch interfaces after `dict.save()` before calling `setInterface` — handles become stale across a save
- **Before deleting a file that is tracked in a MATLAB project, call `removeFile(proj, filePath)` first.** A bare `delete()` removes the file from disk but leaves a broken reference in the project, which causes health check failures. Pattern:
```matlab
proj = currentProject();
removeFile(proj, fullfile(archDir, 'OldFile.sldd')); % untrack first
delete(fullfile(archDir, 'OldFile.sldd')); % then remove from disk
```
If the file no longer exists on disk (already deleted) but is still tracked, call `removeFile` without `delete`. If no project is open, `currentProject()` errors — guard with `matlab.project.rootProject()` if needed.
---
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