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Compose Multiplatform Patterns

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Fmarzochi
compose-multiplatform-patterns

Compose Multiplatform and Jetpack Compose patterns for KMP projects: state management, navigation, theming, performance, and platform-specific UI.

Overview

PublisherFmarzochi
RepositoryEGC
Skill namecompose-multiplatform-patterns
Stars
68
Forks
49
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Fmarzochi on GitHub. Read the source before you install it.

Installation

Install the Compose Multiplatform Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Fmarzochi/EGC/tree/main/skills/architecture/compose-multiplatform-patterns
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Fmarzochi/EGC.git /tmp/EGC
mkdir -p .claude/skills
cp -r /tmp/EGC/skills/architecture/compose-multiplatform-patterns .claude/skills/compose-multiplatform-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Compose Multiplatform Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Compose Multiplatform Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Compose Multiplatform Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Compose Multiplatform Patterns

Patterns for building shared UI across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose. Covers state management, navigation, theming, and performance.

When to Activate

  • Building Compose UI (Jetpack Compose or Compose Multiplatform)
  • Managing UI state with ViewModels and Compose state
  • Implementing navigation in KMP or Android projects
  • Designing reusable composables and design systems
  • Optimizing recomposition and rendering performance

State Management

ViewModel + Single State Object

Use a single data class for screen state. Expose it as StateFlow and collect in Compose:

kotlin
data class ItemListState(
    val items: List<Item> = emptyList(),
    val isLoading: Boolean = false,
    val error: String? = null,
    val searchQuery: String = ""
)

class ItemListViewModel(
    private val getItems: GetItemsUseCase
) : ViewModel() {
    private val _state = MutableStateFlow(ItemListState())
    val state: StateFlow<ItemListState> = _state.asStateFlow()

    fun onSearch(query: String) {
        _state.update { it.copy(searchQuery = query) }
        loadItems(query)
    }

    private fun loadItems(query: String) {
        viewModelScope.launch {
            _state.update { it.copy(isLoading = true) }
            getItems(query).fold(
                onSuccess = { items -> _state.update { it.copy(items = items, isLoading = false) } },
                onFailure = { e -> _state.update { it.copy(error = e.message, isLoading = false) } }
            )
        }
    }
}

Collecting State in Compose

kotlin
@Composable
fun ItemListScreen(viewModel: ItemListViewModel = koinViewModel()) {
    val state by viewModel.state.collectAsStateWithLifecycle()

    ItemListContent(
        state = state,
        onSearch = viewModel::onSearch
    )
}

@Composable
private fun ItemListContent(
    state: ItemListState,
    onSearch: (String) -> Unit
) {
    // Stateless composable: easy to preview and test
}

Event Sink Pattern

For complex screens, use a sealed interface for events instead of multiple callback lambdas:

kotlin
sealed interface ItemListEvent {
    data class Search(val query: String) : ItemListEvent
    data class Delete(val itemId: String) : ItemListEvent
    data object Refresh : ItemListEvent
}

// In ViewModel
fun onEvent(event: ItemListEvent) {
    when (event) {
        is ItemListEvent.Search -> onSearch(event.query)
        is ItemListEvent.Delete -> deleteItem(event.itemId)
        is ItemListEvent.Refresh -> loadItems(_state.value.searchQuery)
    }
}

// In Composable: single lambda instead of many
ItemListContent(
    state = state,
    onEvent = viewModel::onEvent
)

Navigation

Type-Safe Navigation (Compose Navigation 2.8+)

Define routes as @Serializable objects:

kotlin
@Serializable data object HomeRoute
@Serializable data class DetailRoute(val id: String)
@Serializable data object SettingsRoute

@Composable
fun AppNavHost(navController: NavHostController = rememberNavController()) {
    NavHost(navController, startDestination = HomeRoute) {
        composable<HomeRoute> {
            HomeScreen(onNavigateToDetail = { id -> navController.navigate(DetailRoute(id)) })
        }
        composable<DetailRoute> { backStackEntry ->
            val route = backStackEntry.toRoute<DetailRoute>()
            DetailScreen(id = route.id)
        }
        composable<SettingsRoute> { SettingsScreen() }
    }
}

Dialog and Bottom Sheet Navigation

Use dialog() and overlay patterns instead of imperative show/hide:

kotlin
NavHost(navController, startDestination = HomeRoute) {
    composable<HomeRoute> { /* ... */ }
    dialog<ConfirmDeleteRoute> { backStackEntry ->
        val route = backStackEntry.toRoute<ConfirmDeleteRoute>()
        ConfirmDeleteDialog(
            itemId = route.itemId,
            onConfirm = { navController.popBackStack() },
            onDismiss = { navController.popBackStack() }
        )
    }
}

Composable Design

Slot-Based APIs

Design composables with slot parameters for flexibility:

kotlin
@Composable
fun AppCard(
    modifier: Modifier = Modifier,
    header: @Composable () -> Unit = {},
    content: @Composable ColumnScope.() -> Unit,
    actions: @Composable RowScope.() -> Unit = {}
) {
    Card(modifier = modifier) {
        Column {
            header()
            Column(content = content)
            Row(horizontalArrangement = Arrangement.End, content = actions)
        }
    }
}

Modifier Ordering

Modifier order matters: apply in this sequence:

kotlin
Text(
    text = "Hello",
    modifier = Modifier
        .padding(16.dp)          // 1. Layout (padding, size)
        .clip(RoundedCornerShape(8.dp))  // 2. Shape
        .background(Color.White) // 3. Drawing (background, border)
        .clickable { }           // 4. Interaction
)

KMP Platform-Specific UI

expect/actual for Platform Composables

kotlin
// commonMain
@Composable
expect fun PlatformStatusBar(darkIcons: Boolean)

// androidMain
@Composable
actual fun PlatformStatusBar(darkIcons: Boolean) {
    val systemUiController = rememberSystemUiController()
    SideEffect { systemUiController.setStatusBarColor(Color.Transparent, darkIcons) }
}

// iosMain
@Composable
actual fun PlatformStatusBar(darkIcons: Boolean) {
    // iOS handles this via UIKit interop or Info.plist
}

Performance

Stable Types for Skippable Recomposition

Mark classes as @Stable or @Immutable when all properties are stable:

kotlin
@Immutable
data class ItemUiModel(
    val id: String,
    val title: String,
    val description: String,
    val progress: Float
)

Use key() and Lazy Lists Correctly

kotlin
LazyColumn {
    items(
        items = items,
        key = { it.id }  // Stable keys enable item reuse and animations
    ) { item ->
        ItemRow(item = item)
    }
}

Defer Reads with derivedStateOf

kotlin
val listState = rememberLazyListState()
val showScrollToTop by remember {
    derivedStateOf { listState.firstVisibleItemIndex > 5 }
}

Avoid Allocations in Recomposition

kotlin
// BAD: new lambda and list every recomposition
items.filter { it.isActive }.forEach { ActiveItem(it, onClick = { handle(it) }) }

// GOOD: key each item so callbacks stay attached to the right row
val activeItems = remember(items) { items.filter { it.isActive } }
activeItems.forEach { item ->
    key(item.id) {
        ActiveItem(item, onClick = { handle(item) })
    }
}

Theming

Material 3 Dynamic Theming

kotlin
@Composable
fun AppTheme(
    darkTheme: Boolean = isSystemInDarkTheme(),
    dynamicColor: Boolean = true,
    content: @Composable () -> Unit
) {
    val colorScheme = when {
        dynamicColor && Build.VERSION.SDK_INT >= Build.VERSION_CODES.S -> {
            if (darkTheme) dynamicDarkColorScheme(LocalContext.current)
            else dynamicLightColorScheme(LocalContext.current)
        }
        darkTheme -> darkColorScheme()
        else -> lightColorScheme()
    }

    MaterialTheme(colorScheme = colorScheme, content = content)
}

Anti-Patterns to Avoid

  • Using mutableStateOf in ViewModels when MutableStateFlow with collectAsStateWithLifecycle is safer for lifecycle
  • Passing NavController deep into composables: pass lambda callbacks instead
  • Heavy computation inside @Composable functions: move to ViewModel or remember {}
  • Using LaunchedEffect(Unit) as a substitute for ViewModel init: it re-runs on configuration change in some setups
  • Creating new object instances in composable parameters: causes unnecessary recomposition

References

See skill: android-clean-architecture for module structure and layering. See skill: kotlin-coroutines-flows for coroutine and Flow patterns.

Frequently asked questions

What does the Compose Multiplatform Patterns AI skill do?

Compose Multiplatform and Jetpack Compose patterns for KMP projects: state management, navigation, theming, performance, and platform-specific UI.

Why use Compose Multiplatform Patterns on TypingMind?

Because you install it once and use it with any model. Compose Multiplatform Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Compose Multiplatform Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Fmarzochi/EGC/tree/main/skills/architecture/compose-multiplatform-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Compose Multiplatform Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Compose Multiplatform Patterns?

As many as you like. As long as a model supports skills, you can use Compose Multiplatform Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Compose Multiplatform Patterns AI skill free?

Yes. It is published on GitHub by Fmarzochi under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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