compose-expert

vitorpamplona/amethyst · updated Apr 8, 2026

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$npx skills add https://github.com/vitorpamplona/amethyst --skill compose-expert
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summary

Visual UI patterns for sharing composables across Android and Desktop.

skill.md

Compose Multiplatform Expert

Visual UI patterns for sharing composables across Android and Desktop.

When to Use This Skill

  • Creating or refactoring shared UI components
  • Deciding whether to share UI in commonMain or keep platform-specific
  • Building custom ImageVector icons (robohash pattern)
  • State management: remember, derivedStateOf, produceState
  • Recomposition optimization: visual usage of @Stable/@Immutable
  • Material3 theming and styling
  • Performance: lazy lists, image loading

Delegate to other skills:

  • Navigation structure → android-expert, desktop-expert
  • Kotlin state patterns (StateFlow, sealed classes) → kotlin-expert
  • Build configuration → gradle-expert

Philosophy: Share by Default

Default to commons/commonMain unless platform experts indicate otherwise.

Always Share

  • UI components: Buttons, cards, lists, dialogs, inputs
  • State visualization: Loading, empty, error states
  • Custom icons: ImageVector assets (robohash, custom paths)
  • Theme utilities: Color calculations, style helpers
  • Material3 components: Any UI using Material primitives

Keep Platform-Specific

  • Navigation structure: Bottom nav (Android) vs Sidebar (Desktop)
  • Screen layouts: Platform-specific scaffolding
  • System integrations: File pickers, notifications, share sheets
  • Platform UX: Gestures, keyboard shortcuts, window management

Decision Framework

  1. Uses only Material3 primitives? → Share in commonMain
  2. Requires platform system APIs? → Platform-specific
  3. Pure visual component without navigation? → Share in commonMain
  4. Needs platform UX patterns? → Ask android-expert or desktop-expert

If uncertain, default to sharing - easier to split later than merge.

Shared Composable Anatomy

Structure

@Composable
fun SharedComponent(
    // State parameters (read-only)
    data: DataClass,
    isLoading: Boolean,
    // Event parameters (write-only)
    onAction: () -> Unit,
    // Visual parameters
    modifier: Modifier = Modifier,
    // Optional customization
    colors: ComponentColors = ComponentDefaults.colors()
) {
    // Implementation
}

Pattern: State down, events up

  • Parameters above modifier = required state/events
  • modifier parameter = layout control
  • Parameters below modifier = optional customization

Example: AddButton

@Composable
fun AddButton(
    onClick: () -> Unit,
    modifier: Modifier = Modifier,
    text: String = "Add",
    enabled: Boolean = true
) {
    OutlinedButton(
        modifier = modifier,
        enabled = enabled,
        onClick = onClick,
        shape = ActionButtonShape,
        contentPadding = ActionButtonPadding
    ) {
        Text(text = text, textAlign = TextAlign.Center)
    }
}

// Shared constants for consistency
val ActionButtonShape = RoundedCornerShape(20.dp)
val ActionButtonPadding = PaddingValues(vertical = 0.dp, horizontal = 16.dp)

Why this works on all platforms:

  • Material3 primitives (OutlinedButton, Text)
  • No platform APIs
  • Configurable through parameters
  • Consistent styling via shared constants

State Management Patterns

remember - Cache Across Recompositions

@Composable
fun ExpandableCard() {
    var isExpanded by remember { mutableStateOf(false) }

    Column {
        IconButton(onClick = { isExpanded = !isExpanded }) {
            Icon(
                if (isExpanded) Icons.Default.ExpandLess else Icons.Default.ExpandMore,
                contentDescription = if (isExpanded) "Collapse" else "Expand"
            )
        }

        if (isExpanded) {
            Text("Expanded content...")
        }
    }
}

Visual pattern: Toggle button → state changes → UI expands/collapses Use for: Simple UI state (toggles, counters, text input)

derivedStateOf - Optimize Frequent Changes

@Composable
fun ScrollToTopButton(listState: LazyListState) {
    // Only recomposes when showButton changes, not every scroll pixel
    val showButton by remember {
        derivedStateOf {
            listState.firstVisibleItemIndex > 0
        }
    }

    if (showButton) {
        FloatingActionButton(onClick = { /* scroll to top */ }) {
            Icon(Icons.Default.ArrowUpward, null)
        }
    }
}

Visual pattern: Scroll position (0, 1, 2...) → boolean (show/hide) → Button visibility Use for: Input changes frequently, derived result changes rarely Performance: Prevents recomposition on every scroll event

produceState - Async to Compose State

@Composable
fun LoadUserProfile(userId: String): State<User?> {
    return produceState<User?>(initialValue = null, userId) {
        value = repository.fetchUser(userId)
    }
}

@Composable
fun ProfileScreen(userId: String) {
    val user by LoadUserProfile(userId)

    when (user) {
        null -> LoadingState("Loading profile...")
        else -> ProfileCard(user!!)
    }
}

Visual pattern: Async operation → state updates → UI reflects changes Use for: Convert Flow, LiveData, callbacks into Compose state Lifecycle: Coroutine cancelled when composable leaves composition

For Kotlin-specific state patterns (StateFlow, sealed classes), see kotlin-expert.

State Hoisting

Move state up to make composables reusable:

// ❌ Stateful - hard to test, can't control externally
@Composable
fun BadSearchBar() {
    var query by remember { mutableStateOf("") }
    TextField(value = query, onValueChange = { query = it })
}

// ✅ Stateless - reusable, testable
@Composable
fun GoodSearchBar(
    query: String,
    onQueryChange: (String) -> Unit,
    modifier: Modifier = Modifier
) {
    TextField(
        value = query,
        onValueChange = onQueryChange,
        modifier = modifier
    )
}

@Composable
fun SearchScreen() {
    var query by remember { mutableStateOf("") }

    Column {
        GoodSearchBar(query = query, onQueryChange = { query = it })
        SearchResults(query = query)
    }
}

Principle: State up, events down

  • State: query: String (read-only parameter)
  • Events: onQueryChange: (String) -> Unit (callback parameter)

Recomposition Optimization

Visual Usage of @Immutable

Use @Immutable on data classes passed to composables:

@I
how to use compose-expert

How to use compose-expert on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add compose-expert
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vitorpamplona/amethyst --skill compose-expert

The skills CLI fetches compose-expert from GitHub repository vitorpamplona/amethyst and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/compose-expert

Reload or restart Cursor to activate compose-expert. Access the skill through slash commands (e.g., /compose-expert) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.664 reviews
  • Ava Garcia· Dec 28, 2024

    We added compose-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 24, 2024

    compose-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Arjun Gonzalez· Dec 24, 2024

    compose-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Shikha Mishra· Dec 20, 2024

    Useful defaults in compose-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sophia Choi· Dec 8, 2024

    compose-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Soo Rahman· Dec 8, 2024

    compose-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Anaya Flores· Dec 4, 2024

    I recommend compose-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Olivia Thompson· Dec 4, 2024

    Keeps context tight: compose-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Anaya Abbas· Nov 27, 2024

    Registry listing for compose-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Omar Gonzalez· Nov 27, 2024

    Keeps context tight: compose-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

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