android-jetpack-compose

thebushidocollective/han · updated Apr 8, 2026

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$npx skills add https://github.com/thebushidocollective/han --skill android-jetpack-compose
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summary

Declarative UI toolkit for building native Android interfaces with state management and recomposition optimization.

  • Provides state management primitives: remember for recomposition survival, rememberSaveable for configuration changes, mutableStateOf for observable state, and derivedStateOf for computed values
  • Emphasizes state hoisting to create stateless, reusable composables and integrates with ViewModel and StateFlow for app-level state
  • Includes efficient recomposition patterns usi
skill.md

Android - Jetpack Compose

Modern declarative UI toolkit for building native Android interfaces.

Key Concepts

State Management

Compose provides several ways to manage state:

  • remember: Survives recomposition
  • rememberSaveable: Survives configuration changes
  • mutableStateOf: Creates observable state
  • derivedStateOf: Computed state that updates when dependencies change
@Composable
fun Counter() {
    var count by remember { mutableStateOf(0) }

    Column {
        Text("Count: $count")
        Button(onClick = { count++ }) {
            Text("Increment")
        }
    }
}

// With saveable for configuration changes
@Composable
fun SearchField() {
    var query by rememberSaveable { mutableStateOf("") }

    TextField(
        value = query,
        onValueChange = { query = it },
        placeholder = { Text("Search...") }
    )
}

State Hoisting

Lift state up to make composables stateless and reusable:

// Stateless composable
@Composable
fun NameInput(
    name: String,
    onNameChange: (String) -> Unit,
    modifier: Modifier = Modifier
) {
    TextField(
        value = name,
        onValueChange = onNameChange,
        label = { Text("Name") },
        modifier = modifier
    )
}

// Stateful parent
@Composable
fun UserForm() {
    var name by remember { mutableStateOf("") }

    NameInput(
        name = name,
        onNameChange = { name = it }
    )
}

ViewModel Integration

class UserViewModel : ViewModel() {
    private val _uiState = MutableStateFlow(UserUiState())
    val uiState: StateFlow<UserUiState> = _uiState.asStateFlow()

    fun updateName(name: String) {
        _uiState.update { it.copy(name = name) }
    }

    fun saveUser() {
        viewModelScope.launch {
            _uiState.update { it.copy(isLoading = true) }
            try {
                userRepository.save(_uiState.value.toUser())
                _uiState.update { it.copy(isLoading = false, isSaved = true) }
            } catch (e: Exception) {
                _uiState.update { it.copy(isLoading = false, error = e.message) }
            }
        }
    }
}

@Composable
fun UserScreen(viewModel: UserViewModel = viewModel()) {
    val uiState by viewModel.uiState.collectAsStateWithLifecycle()

    UserContent(
        uiState = uiState,
        onNameChange = viewModel::updateName,
        onSave = viewModel::saveUser
    )
}

Best Practices

Composable Function Guidelines

// Use Modifier as first optional parameter
@Composable
fun CustomCard(
    title: String,
    modifier: Modifier = Modifier,
    onClick: () -> Unit = {}
) {
    Card(
        modifier = modifier.clickable(onClick = onClick)
    ) {
        Text(
            text = title,
            modifier = Modifier.padding(16.dp)
        )
    }
}

// Use slot APIs for flexible content
@Composable
fun CustomScaffold(
    topBar: @Composable () -> Unit = {},
    bottomBar: @Composable () -> Unit = {},
    content: @Composable (PaddingValues) -> Unit
) {
    Scaffold(
        topBar = topBar,
        bottomBar = bottomBar,
        content = content
    )
}

Efficient Recomposition

// Use keys for list items
@Composable
fun UserList(users: List<User>) {
    LazyColumn {
        items(
            items = users,
            key = { it.id }  // Stable key for efficient updates
        ) { user ->
            UserItem(user)
        }
    }
}

// Use derivedStateOf for expensive computations
@Composable
fun FilteredList(items: List<Item>, query: String) {
    val filteredItems by remember(items, query) {
        derivedStateOf {
            items.filter { it.name.contains(query, ignoreCase = true) }
        }
how to use android-jetpack-compose

How to use android-jetpack-compose 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 android-jetpack-compose
2

Execute installation command

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

$npx skills add https://github.com/thebushidocollective/han --skill android-jetpack-compose

The skills CLI fetches android-jetpack-compose from GitHub repository thebushidocollective/han 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/android-jetpack-compose

Reload or restart Cursor to activate android-jetpack-compose. Access the skill through slash commands (e.g., /android-jetpack-compose) 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

4.638 reviews
  • Evelyn Thompson· Dec 20, 2024

    Solid pick for teams standardizing on skills: android-jetpack-compose is focused, and the summary matches what you get after install.

  • Advait Sanchez· Dec 8, 2024

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

  • Hiroshi Shah· Nov 27, 2024

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

  • Evelyn Chen· Nov 11, 2024

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

  • Nia Jain· Nov 11, 2024

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

  • Evelyn Diallo· Oct 18, 2024

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

  • Xiao Garcia· Oct 2, 2024

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

  • Evelyn Tandon· Oct 2, 2024

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

  • Kofi Khan· Sep 25, 2024

    android-jetpack-compose reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hiroshi Tandon· Sep 9, 2024

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

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