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Matlab Build App

MathWorksOfficialCreated by MathWorks

  • Skill
  • Workflow
  • Software development
  • BSD-2-Clause
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From the author

Build MATLAB apps from requirements to working code. Asks discovery questions (or skips them when the path is known), recommends UIFigure or UIHTML architecture, identifies layout archetype (Dashboard, Explorer, Tabbed, Wizard, Canvas), produces an implementation plan, and executes the build. For UIFigure apps, optionally serializes as App Designer (.mlapp or plain-text .m + .xml). Use when a user wants to build a MATLAB app, create a GUI, make an interactive tool, build a uifigure app, build a uihtml app, build an App Designer app, build a .mlapp app, build a plain-text App Designer app, or asks which approach to use. Also use when user describes spatial layout needs: dashboard, control panel, sidebar, tabs, wizard, stepper, canvas, workspace.
— the description by MathWorks

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to developing MATLAB applications, guiding users from initial requirements to a fully implemented codebase. It helps determine the optimal architecture (UIFigure or UIHTML) and layout archetype (e.g., Dashboard, Explorer, Wizard) based on the user's specific needs, team expertise, and maintenance requirements. The skill enforces a rigorous planning phase, requiring an implementation plan before any code is written, and supports multiple serialization formats for UIFigure apps, including App Designer (.mlapp) and plain-text (.m + .xml) formats.

What it does

  • Conducts discovery to identify app purpose, maintenance needs, and visual requirements.
  • Recommends the best architecture (UIFigure or UIHTML) and layout archetype.
  • Produces a detailed implementation plan and writes it to a markdown file.
  • Supports building UIFigure apps with optional App Designer serialization.
  • Ensures structural integrity by enforcing grid-based layouts and proper background task handling.
  • Provides a clear, step-by-step build sequence based on internal documentation.

When to use it

  • When you need to build a new MATLAB GUI or interactive tool.
  • When you are unsure whether to use UIFigure or UIHTML for a specific project.
  • When you need to define a clear development plan for a complex MATLAB application.
  • When you want to create an App Designer app using either binary or plain-text formats.

Advantages

  • Ensures consistent, maintainable application architecture.
  • Prevents common pitfalls by enforcing proven layout and background task patterns.
  • Provides clear guidance on choosing between App Designer and programmatic approaches.
  • Facilitates collaboration by requiring a documented implementation plan before coding.

Usage examples

“I need to build a MATLAB dashboard to monitor sensor data. What approach should I take?”
The agent will ask discovery questions about the app's lifespan, team skills, and visual needs, then recommend an architecture and layout archetype before creating a plan.
“Build me a UIHTML app for visualizing experimental results.”
The agent will skip the architecture recommendation, ask for any missing requirements, and proceed to generate an implementation plan for a UIHTML-based app.

Install

Documentation by MathWorks

MATLAB Build App

Determine the best architecture for a MATLAB application, produce an implementation plan grounded in internal references, and execute the build. For UIFigure apps, optionally serialize into an App Designer format.

When to Use This Skill

Use this skill when:

  • User wants to build a MATLAB app, GUI, or interactive tool

  • User asks "how should I build this app?" or "which approach should I use?"

  • User describes an application — with or without specifying an implementation path

  • User mentions: MATLAB app, GUI, uifigure, uihtml, interactive tool, dashboard, visualization app, App Designer, .mlapp, plain-text app

  • User describes spatial layout needs: dashboard, control panel, sidebar, tabs, wizard, stepper, canvas, workspace

  • User has already chosen a path (e.g., "build me a uihtml app") — handle directly

When Not to Use

  • The request is purely about MATLAB computation with no UI component

  • The user is asking about an existing app they want to modify → read references/editing-guide.md

  • The user wants to convert between App Designer formats (e.g., .mlapp to plain-text or vice versa) → tell them to use File > Save As in App Designer. Do NOT attempt the conversion programmatically.

Critical Rules

  • MUST ask discovery questions before recommending a path — unless the user already specified one

  • MUST confirm the path choice with the user before producing the implementation plan

  • MUST produce an implementation plan grounded in internal references before writing any code

  • MUST write the plan to a file (<app-name>-plan.md) in the working directory

  • NEVER recommend a path without understanding the user's constraints (unless path was pre-specified)

  • NEVER apply dark mode, custom colors, or visual themes unless the user explicitly requests them

  • ALWAYS present the recommendation as guidance, not a mandate — the user decides

  • MUST choose archetype based on the user's primary task, not aesthetics

  • NEVER treat two archetypes as equals within one app — one is always the primary container

  • UIFigure app: MUST use uigridlayout for all structural layout — never Position-based sizing

  • UIHTML/web app: MUST use CSS Grid or Flexbox for chrome — no absolute positioning for structural panels

  • The chrome (header, sidebar, tabs, step indicator) MUST remain spatially stable

  • Background execution (any operation taking more than ~1 second) requires a class-structured app and MUST be read up first in references/background-tasks.md — do NOT hand-write parfeval/backgroundPool/DataQueue plumbing from memory. For an App Designer app (.mlapp or plain text) you MUST use the addBackgroundTask verb and NEVER hand-roll the infrastructure or reuse the standalone-programmatic manual wiring. For a standalone programmatic app, use the MVVM structure per that doc. A flat nested-function app that needs background work MUST escalate to one of these.

  • App Designer serialization: MUST read references/app-designer/agent-guide-shared.md (covers ownership models, editing discipline, property rules, quoting) plus the format-specific guide (agent-guide-mlapp.md or agent-guide-plaintext.md) before building. Those docs are the single source of truth; do not attempt to edit app files without reading them first.

Workflow

User request arrives
        │
        ├── Path NOT specified → Full Discovery
        │       │
        │       ▼
        │   Ask Q1-Q4 (purpose, lifespan, polish, team skills)
        │       │
        │       ▼
        │   Identify layout archetype
        │       │
        │       ▼
        │   Recommend UIFigure vs UIHTML based on Q1-Q4
        │       │
        │       ▼
        │   *** STOP: Present recommendation and WAIT for user confirmation ***
        │   (Do NOT produce a plan or read references until user says yes)
        │       │
        │       ▼
        │   Ask Q5 (FINAL): Serialization format? (UIFigure apps only)
        │       │
        │       ├── App Designer → release check, present format choice,
        │       │       continue with UIFigure references + add serialization step
        │       │
        │       └── Standalone programmatic → no extra step
        │       │
        │       ▼
        │   Produce Implementation Plan → write to <app-name>-plan.md
        │       │
        │       ▼
        │   User reviews plan → confirms or adjusts
        │       │
        │       ▼
        │   Begin building (read references per the plan)
        │
        └── Path IS specified
                │
                ├── Serialization explicit (e.g., ".mlapp app", "plain-text app")
                │       → Skip Q5, proceed with stated format
                │       → Ask only missing requirements + archetype if unclear
                │       → Produce Implementation Plan
                │
                ├── Architecture explicit but serialization not stated
                │   (e.g., "build me a uifigure app")
                │       → Still ask Q5 (serialization) before planning
                │       → Ask missing requirements + archetype if unclear
                │       → Produce Implementation Plan
                │
                └── UIHTML or standalone programmatic explicit
                        → Skip Q5 entirely (not applicable)
                        → Ask missing requirements + archetype if unclear
                        → Produce Implementation Plan

Discovery Questions

Ask these conversationally — not as a rigid checklist. Gather requirements and layout intent first; ask the serialization question last, once you understand what the app needs to do.

Core Questions

1. What does the app do and who is it for?

What will this app do? Who will use it?

Listen for archetype signals: "dashboard", "control panel", "step-by-step", "workspace".

2. Is this a quick tool or something you'll maintain over time?

Is this meant to be maintained and evolved, or is it more of a quick, proof-of-concept tool?

  • Maintained → proceed to remaining questions; team skills matter

  • Ephemeral → favor UIHTML app path; can skip team question

3. How polished does the UI need to look?

Are standard MATLAB buttons, sliders, tables, and plots enough? Or do you need custom visuals — branded, animated, or visually richer?

  • Standard controls sufficient → UIFigure app signal

  • Custom visuals needed → UIHTML app signal

4. Who will work on this app going forward?

Will this be maintained by people comfortable only with MATLAB, or by people also comfortable with web technologies?

Only ask for maintained apps.

  • MATLAB-only team → UIFigure app

  • Web-comfortable team → UIHTML app

5. (FINAL) How should this app be saved?

Do you want this app to open and edit inside App Designer, or do you prefer a standalone programmatic file (no App Designer dependency)?

This is a serialization question, not an architecture question. The app's structure (components, layout, callbacks) is designed using UIFigure knowledge regardless of the answer. Q5 only determines how that design is persisted to disk.

  • App Designer → .mlapp or plain-text .m + .xml. Check release (plain-text needs R2026b+). If Q3 indicated custom visuals, note that App Designer constrains visual customization vs UIHTML and confirm.

  • Standalone programmatic → programmatic .m code, no App Designer dependency. MVVM may warrant multiple files; that is decided at build time.

Follow-up Probes (only if path isn't clear)
  • Interaction style: Real-time feedback needed? → slight UIFigure lean

  • Existing work: Existing MATLAB UI code? → UIFigure. Existing web assets? → UIHTML

  • Distribution: May need to work outside MATLAB? → UIHTML

  • Long computations: Will any operation take more than a second? → use a background task (read references/background-tasks.md). Note this requires a class-structured app: App Designer serialization, or MVVM if standalone programmatic. Heavy, long, or one-shot work is ALWAYS a background task, never a timer; a timer fits only scheduled, cheap-per-tick work that must update the UI on the main thread (read references/timers.md).

Path Decision Logic

Two stages: first determine architecture (Q1-Q4), then determine serialization format (Q5).

Stage A — Architecture (from Q1-Q4):

Ephemeral app? → Strong default to UIHTML app

Maintained app? → Weigh signals:

Strong UIFigure signals:
  ✓ Maintained + MATLAB-only team
  ✓ Standard UI components sufficient
  ✓ Tight real-time interaction
  ✓ Existing MATLAB UI code

Strong UIHTML signals:
  ✓ Ephemeral (regardless of team)
  ✓ Maintained + web-skilled team
  ✓ Custom visuals, branded look, animations
  ✓ Existing web assets
  ✓ Future portability outside MATLAB

UIFigure + uihtml accent:
  Mostly standard app but needs one custom visualization panel.

Stage B — Serialization format (Q5, UIFigure apps only):

Q5 = Standalone → programmatic code (no App Designer). Done.

Q5 = App Designer → adds a serialization layer ON TOP of Stage A.
  UIFigure references still apply in full. Serialization is IN ADDITION TO,
  not instead of, the normal UIFigure build.
  → Check release, present format choice (plain text vs .mlapp).
  → If Stage A indicated UIHTML for custom visuals, surface the trade-off:
    App Designer constrains custom visuals — confirm before committing.

Weighting: 1. Architecture (Q1-Q4) 2. Serialization (Q5, applies only to UIFigure)

Paths at a Glance

ArchitectureKey strength
UIFigure appSingle language, any MATLAB dev can maintain
UIHTML appFull visual control, rich interactivity
UIFigure + accentBest of both when you need one custom visual

For UIFigure apps, three serialization formats:

FormatTrade-off
Programmatic .mStandalone, no App Designer dependency
App Designer .mlappBinary, works on any release, opens in App Designer
App Designer plain text .m + .xmlSource-controllable, AI-editable, R2026b+

Layout Archetype

Pick based on the user's primary task:

ArchetypePrimary user taskStructure
DashboardMonitor and compare at a glanceKPI cards + charts + table; read-only
ExplorerAdjust parameters, observe live resultsSidebar controls + live display
TabbedNavigate between independent sectionsTab bar + content panels
WizardComplete a sequential workflowStep indicator + one-step-at-a-time
CanvasCreate, inspect, or edit spatial artifactsCentral workspace + tools

If unclear, ask: "Will users mostly be watching results (Dashboard), tweaking controls (Explorer), switching sections (Tabbed), going through steps (Wizard), or working on a central figure (Canvas)?"

Implementation Plan

After confirming path and archetype, produce a plan and write it to <app-name>-plan.md in the working directory. Present a concise summary inline with the approval request.

Plan Template
**Implementation Plan: [App Name]**

**Architecture:** [UIFigure app / UIHTML app / UIFigure + accent]
**Serialization:** [Programmatic .m / App Designer .mlapp / App Designer plain text]
**Layout:** [Archetype] — [one sentence describing spatial structure]

**Structure:**
- [Major panel/area — spatial description]
- [e.g., "Left sidebar (220px) with date range picker, category filter, refresh button"]
- [e.g., "Main area with line chart showing filtered results"]

**Key behaviors:**
- [User-visible interaction effects]

**Internal references that will be used:**

| Reference | Role in this app |
|-----------|-----------------|
| `references/path/file.md` | [what it provides] |
| ... | ... |

**External skills:**
- `matlab-build-chart` — [role, if applicable]
- `matlab-apply-theme` — [role, if applicable]

**File organization:**
[app directory tree]

**Implementation sequence:**
1. [First reference read] — [what it establishes]
2. [Next reference] — [what it adds]
3. [...]

Each reference pointer carries provenance: [src: references/uifigure/grid-layout.md §Spanning]

Plan Quality Checks

Before presenting:

  • [ ] Every reference listed has a concrete role

  • [ ] Structure uses spatial terms the user can visualize

  • [ ] Behaviors describe user-visible effects

  • [ ] Implementation sequence shows a logical build order

  • [ ] Plan is specific enough for "yes, that's what I want" or "change X"

Reference Router

After plan approval, read the relevant internal references to execute the build.

UIFigure Path
When building...Read
Grid layout, sizing, componentsreferences/uifigure/guide.md
Grid details (spanning, collapse)references/uifigure/grid-layout.md
Panels, tab groups, nested gridsreferences/uifigure/containers.md
Component reference (controls, display)references/uifigure/components.md
Callback patterns, data sharingreferences/uifigure/callbacks.md
Layout recipes (sidebar, form, split)references/uifigure/layout-patterns.md
MVVM architecture (complex apps)references/uifigure/mvvm-guide.md
View binding patternsreferences/uifigure/mvvm-view-binding.md
ViewModel testingreferences/uifigure/mvvm-testing.md
Background execution — concepts + routing (read first)references/background-tasks.md
Background execution — standalone programmatic (MVVM) wiringreferences/uifigure/mvvm-background-tasks.md
Timers — periodic main-thread work (NOT for offloading heavy work)references/timers.md
UIHTML Path
When building...Read
MATLAB-JS bridge, setup(), eventsreferences/uihtml/bridge-guide.md
Communication patterns (4 patterns)references/uihtml/communication-patterns.md
Data type conversionreferences/uihtml/data-types.md
Platform constraintsreferences/uihtml/platform-limitations.md
uihtml creation, hybrid layoutsreferences/uihtml/setup.md
Error handling (both sides)references/uihtml/error-handling.md
JS MVVM architecturereferences/uihtml/mvvm-guide.md
Observable/Computed classesreferences/uihtml/mvvm-observable-classes.md
JS View bindingreferences/uihtml/mvvm-view-binding.md
JS coding patterns, modulesreferences/uihtml/js-coding-guide.md
JS testing & debuggingreferences/uihtml/js-testing-debugging.md
Chart.js setup & patternsreferences/uihtml/charting-guide.md
Chart type selectionreferences/uihtml/chart-type-selection.md
Chart.js initializationreferences/uihtml/chartjs-setup.md
Line & bar chartsreferences/uihtml/line-bar-charts.md
Doughnut & scatter chartsreferences/uihtml/doughnut-scatter-charts.md
Chart data updatesreferences/uihtml/chart-updates.md
Chart ↔ bridge integrationreferences/uihtml/chart-bridge-integration.md
Chart performancereferences/uihtml/chart-performance.md
CSS styling & tokensreferences/uihtml/styling-guide.md
Component CSS (buttons, inputs)references/uihtml/component-styles.md
CSS layout patternsreferences/uihtml/css-layout-patterns.md
Brand design tokensreferences/uihtml/brand-design-tokens.md
Dark modereferences/uihtml/dark-mode.md
External color schemesreferences/uihtml/external-color-schemes.md
App Designer Serialization (UIFigure apps only)

Important: App Designer serialization is an additional step AFTER the normal UIFigure build. You MUST also read the UIFigure path references above (components, grid-layout, callbacks, containers, layout-patterns) to design the app's structure. The serialization references below cover only how to persist that design to disk.

Both formats use the same AppDesignerAgentInterface API via the bundled scripts/ tool; only the file extension passed to create()/open() differs.

Read first (both formats):

When building...Read
Verbs, build sequence, editing, save()/validate()/finalize(), inspect()references/app-designer/agent-guide-shared.md
Background execution — concepts + routing (read first)references/background-tasks.md
Background execution — addBackgroundTask verb referencereferences/app-designer/background-tasks.md

Plain-text (.m + .xml):

When building...Read
Ownership model, .xml authoring, flow, gotchasreferences/app-designer/agent-guide-plaintext.md
classdef structure & block ordering rulesreferences/app-designer/plaintext/classdef-template.md
XML structure and which properties to setreferences/app-designer/plaintext/xml-template.md
Per-component property names, types, defaultsreferences/app-designer/plaintext/property-reference.md
Authoritative XML schemareferences/app-designer/plaintext/matlabAppSchema.xsd

Binary .mlapp:

When building...Read
Build flow, native property values, save()/finalize()references/app-designer/agent-guide-mlapp.md
Editing an Existing App
When editing...Read
Any existing app (determines format, routes to approach)references/editing-guide.md
Archetype References
ArchetypeFile
Dashboardreferences/archetypes/dashboard.md
Explorerreferences/archetypes/explorer.md
Tabbedreferences/archetypes/tabbed.md
Wizardreferences/archetypes/wizard.md
Canvasreferences/archetypes/canvas.md
External Skills (invoked, not read)
  • matlab-build-chart — when the app includes MATLAB plots (UIFigure path or UIFigure+accent)

  • matlab-apply-theme — when the app needs dark mode, brand colors, or custom palettes (UIFigure path)

After Plan Approval

All UIFigure apps (regardless of serialization format)
  1. Read the archetype reference for the spatial skeleton

  2. If MVVM warranted (Explorer, Wizard, Canvas, or complex apps): read the architecture reference

  3. Read the UIFigure guide to establish layout (grid, components, containers)

  4. Layer in path-specific references per the implementation sequence

  5. For visual polish: invoke matlab-apply-theme (UIFigure) or read styling references (UIHTML accent)

  6. For charts: invoke matlab-build-chart (UIFigure) or read charting references (UIHTML accent)

  7. If App Designer serialization: read the app-designer reference docs (shared guide + format-specific guide), then use the AppDesignerAgentInterface API to persist the app. The docs contain the complete build flow, property rules, and editing discipline.

UIHTML path
  1. Read the archetype reference for the spatial skeleton

  2. If MVVM warranted: read the JS MVVM architecture reference

  3. Read the bridge guide to establish the MATLAB-JS connection

  4. Layer in path-specific references per the implementation sequence

  5. For visual polish: read styling/CSS references

  6. For charts: read charting references

Format Fallback

If the plain text path produces errors that cannot be resolved (e.g., version mismatch, unsupported component), fall back to the .mlapp path — the same verbs drive both formats; re-create the handle with a .mlapp extension. Only fall back to fully programmatic UIFigure code as a last resort.

Recommendation Template

Recommended architecture: [UIFigure app / UIHTML app / UIFigure + accent]

Based on what you've described:

  • [Key signal 1]

  • [Key signal 2]

  • [Key signal 3, if applicable]

What this means: [1-2 sentences on development experience]

Trade-off: [Main thing they'd give up vs the other path]

Serialization (if App Designer): I'd recommend [.mlapp / plain text] because [reason]. This doesn't change the app's structure, just how it's saved.

Want to proceed with this approach, or would you prefer the other path?


Copyright 2026 The MathWorks, Inc.


Files

references/uifigure/mvvm-guide.md

MATLAB UIFigure MVVM

Structure MATLAB uifigure apps using the Model-View-ViewModel pattern. This skill provides the architectural layer — class design, data binding via SetObservable/addlistener, ViewModel commands, and separation of concerns.

Critical Rules

  • MUST separate Model, ViewModel, and View into distinct classes

  • MUST use MATLAB package folders (+AppName/+Models/, +ViewModels/, +Views/)

  • MUST use SetObservable properties on Model and ViewModel for data binding

  • MUST bind View to ViewModel via addlistener(vm, 'Prop', 'PostSet', @cb)

  • MUST clean up all listeners in class destructors (delete method)

  • NEVER put UI component code in the ViewModel

  • NEVER put business logic or data transformation in the View

  • NEVER have the Model reference the ViewModel or View

  • ALWAYS use arguments blocks to validate constructor inputs

Architecture Overview

+AppName/
+-- +Models/
|   +-- DataModel.m            % Data + business logic (handle, SetObservable)
+-- +ViewModels/
|   +-- MainViewModel.m        % Bindable state + commands (handle, SetObservable)
+-- +Views/
|   +-- MainView.m             % uifigure UI + binding (handle)
+-- runApp.m                   % Entry point: wires M -> VM -> V

Data flow:

  1. User interacts with View (click, type, slide)

  2. View calls ViewModel command method

  3. ViewModel updates Model or its own observable properties

  4. PostSet listener fires automatically

  5. View callback updates the UI component

View --[user action]--> ViewModel --[update]--> Model
View <--[PostSet listener]-- ViewModel <--[PostSet listener]-- Model

Model

The Model holds data and business logic. It extends handle and uses SetObservable properties so the ViewModel can listen for changes.

classdef DataModel < handle
    properties (SetObservable)
        RawData double = []
        ProcessedData double = []
        IsValid logical = false
    end

    methods
        function obj = DataModel()
        end

        function process(obj, method)
            arguments
                obj
                method string {mustBeMember(method, ["linear","quadratic","cubic"])}
            end
            switch method
                case "linear"
                    obj.ProcessedData = obj.RawData * 2;
                case "quadratic"
                    obj.ProcessedData = obj.RawData .^ 2;
                case "cubic"
                    obj.ProcessedData = obj.RawData .^ 3;
            end
            obj.IsValid = ~isempty(obj.ProcessedData);
        end

        function loadFromFile(obj, filepath)
            arguments
                obj
                filepath string {mustBeFile}
            end
            obj.RawData = readmatrix(filepath);
            obj.IsValid = false;
            obj.ProcessedData = [];
        end
    end
end
Model Design Guidelines
  • Keep Models pure — no UI references, no ViewModel references

  • Models can be tested independently: m = DataModel(); m.process("linear");

  • Multiple ViewModels can share one Model (useful for split-pane apps)

  • Use SetObservable on any property the ViewModel needs to react to

ViewModel

The ViewModel exposes Model data as observable properties and provides command methods the View can call. It listens to Model changes and reformats data for display.

classdef MainViewModel < handle
    properties (SetObservable)
        DisplayText string = ""
        StatusMessage string = "Ready"
        IsProcessing logical = false
        CanProcess logical = false
    end

    properties (Access = private)
        Model
        ModelListeners
    end

    methods
        function obj = MainViewModel(model)
            arguments
                model AppName.Models.DataModel
            end
            obj.Model = model;

            obj.ModelListeners = [
                addlistener(model, 'ProcessedData', 'PostSet', ...
                    @(~,~) obj.onModelChanged())
                addlistener(model, 'RawData', 'PostSet', ...
                    @(~,~) obj.onRawDataChanged())
            ];

            obj.syncFromModel();
        end

        function delete(obj)
            delete(obj.ModelListeners);
        end

        %% Commands — called by View

        function processCommand(obj, method)
            obj.IsProcessing = true;
            obj.StatusMessage = "Processing...";
            try
                obj.Model.process(method);
                obj.StatusMessage = "Complete";
            catch ex
                obj.StatusMessage = "Error: " + ex.message;
            end
            obj.IsProcessing = false;
        end

        function loadFileCommand(obj, filepath)
            obj.IsProcessing = true;
            obj.StatusMessage = "Loading...";
            try
                obj.Model.loadFromFile(filepath);
                obj.StatusMessage = sprintf("Loaded %d values", numel(obj.Model.RawData));
            catch ex
                obj.StatusMessage = "Error: " + ex.message;
            end
            obj.IsProcessing = false;
        end
    end

    methods (Access = private)
        function onModelChanged(obj)
            obj.syncFromModel();
        end

        function onRawDataChanged(obj)
            obj.CanProcess = ~isempty(obj.Model.RawData);
            obj.syncFromModel();
        end

        function syncFromModel(obj)
            if obj.Model.IsValid
                obj.DisplayText = sprintf("Result: %.2f (n=%d)", ...
                    mean(obj.Model.ProcessedData), numel(obj.Model.ProcessedData));
            else
                obj.DisplayText = "";
            end
        end
    end
end
ViewModel Design Guidelines
  • Every piece of UI state should be a SetObservable property

  • Commands are plain methods — View calls them, ViewModel does the work

  • The ViewModel never references UI components or the View

  • Put presentation logic here: formatting, display strings, enabled/disabled state

  • Computed state (like CanProcess) is updated in reaction to Model changes — recalculate in the listener callback

Computed Properties Pattern

MATLAB doesn't have auto-tracking dependent properties like JS Computed. Instead, recalculate in listener callbacks:

% In ViewModel constructor:
addlistener(model, 'RawData', 'PostSet', @(~,~) obj.updateCanProcess());

% Private method:
function updateCanProcess(obj)
    obj.CanProcess = ~isempty(obj.Model.RawData) && ~obj.IsProcessing;
end

For properties derived from multiple sources, call the updater from each relevant listener.

View

The View creates the uifigure UI and binds it to ViewModel observables via addlistener. See mvvm-view-binding.md for the complete MainView class pattern and View design guidelines.

Key principles:

  • All UI creation uses uigridlayout patterns

  • Bind ViewModel observables to UI updates via addlistener(vm, 'Prop', 'PostSet', @cb)

  • Store listeners in an array and delete them in the destructor

  • Wire user events (ButtonPushedFcn, ValueChangedFcn) to ViewModel commands

  • The View never talks to the Model directly

  • For simple bindings: @(~,~) set(label, 'Text', vm.Prop)

  • For complex bindings (enable/disable logic): use a private method

Entry Point

The entry point creates Model, ViewModel, and View in dependency order:

function app = runApp()
    model = AppName.Models.DataModel();
    viewModel = AppName.ViewModels.MainViewModel(model);
    view = AppName.Views.MainView(viewModel);
    view.show();

    app.model = model;
    app.viewModel = viewModel;
    app.view = view;
end

Usage: app = AppName.runApp();

The returned struct keeps all objects alive. When the user closes the figure, the View destructor fires, but Model and ViewModel persist for inspection. To fully clean up: clear app.

Do NOT use assignin('base', ...) — it pollutes the base workspace and makes cleanup unpredictable. Return a struct instead.

Async Commands and Long-Running Work

For any operation that takes more than about a second, do NOT hand-roll parfeval/backgroundPool plumbing here. Use a background task instead: it provides the full infrastructure (progress streaming via DataQueue, cancellation, and cleanup on close) with the work placed correctly across the MVVM layers. See mvvm-background-tasks.md.

Testing the ViewModel

One of MVVM's key benefits — test UI logic without creating any UI. See mvvm-testing.md for complete test examples.

Run tests with runtests('testMainViewModel') — no figure window needed.

Composition with Other Skills

PathHow MVVM Composes
UIFigure appView uses guide.md layout patterns. Model is pure MATLAB.
UIHTML appViewModel sends bridge events via sendEventToHTMLSource instead of updating a MATLAB View. JS View subscribes to bridge events. See references/uihtml/bridge-guide.md.
StylingView applies matlab-apply-theme patterns to components. ViewModel is style-agnostic.
CodingModel and ViewModel use arguments blocks for validation and structured error handling.

Implementation Checklist

  • [ ] Package folder structure: +AppName/+Models/, +ViewModels/, +Views/

  • [ ] Model extends handle with SetObservable data properties

  • [ ] Model contains business logic only (no UI code)

  • [ ] ViewModel extends handle with SetObservable presentation properties

  • [ ] ViewModel listens to Model via addlistener and syncs on changes

  • [ ] ViewModel commands handle user actions (no UI component references)

  • [ ] View creates UI with uigridlayout (no Position-based layout)

  • [ ] View binds to ViewModel via addlistener on PostSet

  • [ ] View stores listeners in an array and deletes them in delete()

  • [ ] Entry point returns a struct to keep object references alive

  • [ ] Long-running work uses a background task (see mvvm-background-tasks.md), not hand-rolled parfeval

  • [ ] ViewModel can be tested without creating a View

Troubleshooting

IssueCauseSolution
View not updating when Model changesViewModel not listening to ModelAdd addlistener(model, 'Prop', 'PostSet', @cb) in ViewModel constructor
Listener callback not firingProperty not SetObservableAdd SetObservable attribute to the properties block
Objects garbage-collected immediatelyNo reference heldReturn struct from runApp(), assign to variable
Stale UI after ViewModel changeView not bound to that propertyAdd addlistener in bindToViewModel() and initial syncFromViewModel()
Invalid or deleted object errorListener fires after View destroyedDelete listeners in View's delete() method
Circular listener updatesModel change triggers ViewModel triggers ModelUse a guard flag or check value equality before setting

References

TopicFileDescription
View bindingmvvm-view-binding.mdComplete MainView class, addlistener binding, View design guidelines
Testingmvvm-testing.mdViewModel unit tests without UI, test patterns
Background executionmvvm-background-tasks.mdLong-running work: template infrastructure, progress, cancellation, cleanup

Copyright 2026 The MathWorks, Inc.


Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

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Attribution and licence

Created by
MathWorks
Publisher
MathWorks (Official)
Source
matlab/matlab-agentic-toolkit · skills-catalog/matlab-app-building/matlab-build-app · commit 2a7f215
Licence
BSD 2-Clause License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE.md)
  • ATTRIBUTION.md (written by AutoGineer)
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