kotlin-multiplatform

vitorpamplona/amethyst · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/vitorpamplona/amethyst --skill kotlin-multiplatform
0 commentsdiscussion
summary

Expert guidance for KMP architecture in Amethyst - deciding what to share vs keep platform-specific.

skill.md

Kotlin Multiplatform: Platform Abstraction Decisions

Expert guidance for KMP architecture in Amethyst - deciding what to share vs keep platform-specific.

When to Use This Skill

Making platform abstraction decisions:

  • "Should I create expect/actual or keep Android-only?"
  • "Can I share this ViewModel logic?"
  • "Where does this crypto/JSON/network implementation belong?"
  • "This uses Android Context - can it be abstracted?"
  • "Is this code in the wrong module?"
  • Preparing for iOS/web/wasm targets
  • Detecting incorrect placements

Abstraction Decision Tree

Central question: "Should this code be reused across platforms?"

Follow this decision path (< 1 minute):

Q: Is it used by 2+ platforms?
├─ NO  → Keep platform-specific
│         Example: Android-only permission handling
└─ YES → Continue ↓

Q: Is it pure Kotlin (no platform APIs)?
├─ YES → commonMain
│         Example: Nostr event parsing, business rules
└─ NO  → Continue ↓

Q: Does it vary by platform or by JVM vs non-JVM?
├─ By platform (Android ≠ iOS ≠ Desktop)
│  → expect/actual
│  Example: Secp256k1Instance (uses different security APIs)
├─ By JVM (Android = Desktop ≠ iOS/web)
│  → jvmAndroid
│  Example: Jackson JSON parsing (JVM library)
└─ Complex/UI-related
   → Keep platform-specific
   Example: Navigation (Activity vs Window too different)

Final check:
Q: Maintenance cost of abstraction < duplication cost?
├─ YES → Proceed with abstraction
└─ NO  → Duplicate (simpler)

Real Examples from Codebase

Crypto → expect/actual:

// commonMain - expect declaration
expect object Secp256k1Instance {
    fun signSchnorr(data: ByteArray, privKey: ByteArray): ByteArray
}

// androidMain - uses Android Keystore
// jvmMain - uses Desktop JVM crypto
// iosMain - uses iOS Security framework

Why: Each platform has different security APIs.

JSON parsing → jvmAndroid:

// quartz/build.gradle.kts
val jvmAndroid = create("jvmAndroid") {
    api(libs.jackson.module.kotlin)
}

Why: Jackson is JVM-only, works on Android + Desktop, not iOS/web.

Navigation → platform-specific:

  • Android: MainActivity (Activity + Compose Navigation)
  • Desktop: Window + sidebar + MenuBar Why: UI paradigms fundamentally different.

Mental Model: Source Sets as Dependency Graph

Think of source sets as a dependency graph, not folders.

┌─────────────────────────────────────────────┐
│ commonMain = Contract (pure Kotlin)         │
│ - Business logic, protocol, data models     │
│ - No platform APIs                          │
└────────────┬────────────────────────────────┘
             ├──────────────────────┬────────────────────
             │                      │
             ▼                      ▼
   ┌───────────────────┐  ┌──────────────────┐
   │ jvmAndroid        │  │ iosMain          │
   │ JVM libs shared   │  │ iOS common       │
   │ - Jackson         │  │                  │
   │ - OkHttp          │  └────┬─────────────┘
   └───┬───────────┬───┘       │
       │           │           │
       ▼           ▼           ├─→ iosArm64Main
  ┌─────────┐ ┌──────────┐     └─→ iosSimulatorArm64Main
  │android  │ │jvmMain   │
  │Main     │ │(Desktop) │
  └─────────┘ └──────────┘

Future: jsMain, wasmMain

Key insight: jvmAndroid is NOT a platform - it's a shared JVM layer.

The jvmAndroid Pattern

Unique to Amethyst. Shares JVM libraries between Android + Desktop.

When to Use jvmAndroid

Use jvmAndroid when:

  • ✅ JVM-specific libraries (Jackson, OkHttp, url-detector)
  • ✅ Android implementation = Desktop implementation (same JVM)
  • ✅ Library doesn't work on iOS/web

Do NOT use jvmAndroid for:

  • ❌ Pure Kotlin code (use commonMain)
  • ❌ Platform-specific APIs (use androidMain/jvmMain)
  • ❌ Code that should work on all platforms

Example from quartz/build.gradle.kts

// Must be defined BEFORE androidMain and jvmMain
val jvmAndroid = create("jvmAndroid") {
    dependsOn(commonMain.get())

    dependencies {
        api(libs.jackson.module.kotlin)  // JSON parsing - JVM only
        api(libs.url.detector)            // URL extraction - JVM only
        implementation(libs.okhttp)       // HTTP client - JVM only
    }
}

// Both depend on jvmAndroid
jvmMain { dependsOn(jvmAndroid) }
androidMain { dependsOn(jvmAndroid) }

Why Jackson in jvmAndroid, not commonMain?

  • Jackson is JVM-specific library
  • Works on Android (runs on JVM)
  • Works on Desktop (runs on JVM)
  • Does NOT work on iOS (not JVM) or web (not JVM)

Web/wasm consideration: For future web support, consider migrating from Jackson → kotlinx.serialization (see Target-Specific Guidance).

What to Abstract vs Keep Platform-Specific

Quick decision guidelines based on codebase patterns:

Always Abstract

  • Crypto (Secp256k1, encryption, signing)
  • Core protocol logic (Nostr events, NIPs)
  • Why: Needed everywhere, platform security APIs vary

Often Abstract

  • I/O operations (file reading, caching)
  • Logging (platform logging systems differ)
  • Serialization (if using kotlinx.serialization)
  • Why: Commonly reused, platform implementations available

Sometimes Abstract

  • Business logic: YES - state machines, data processing
  • ViewModels: YES - state + business logic shareable (StateFlow/SharedFlow)
  • Screen layouts: NO - platform-native (Window vs Activity)
  • Why: ViewModels contain platform-agnostic state; Screens render differently per platform

Rarely Abstract

  • Complex UI components (composables with heavy platform dependencies)
  • Why: Platform paradigms can differ significantly

Never Abstract

  • Navigation (Activity vs Window fundamentally different)
  • Permissions (Android vs iOS APIs incompatible)
  • Platform UX patterns
  • Why: Too platform-specific, abstraction creates leaky APIs

Evidence from shared-ui-analysis.md

Component Shared? Rationale
PubKeyFormatter, ZapFormatter ✅ YES Pure Kotlin, no platform APIs
TimeAgoFormatter ⚠️ ABSTRACTED Needs StringProvider for localized strings
ViewModels (state + logic) ✅ YES StateFlow/SharedFlow platform-agnostic, Compose Multiplatform lifecycle compatible
Screen layouts (Scaffold, nav) ❌ NO Window vs Activity, sidebar vs bottom nav fundamentally different
Image loading (Coil) ⚠️ ABSTRACTED Coil 3.x supports KMP, needs expect/actual wrapper

expect/actual Mechanics

When to use: Code needed by 2+ platforms, varies by platform.

Pattern Categories from Codebase

Objects (singletons):

// 24 expect declarations found, common pattern:
expect object Secp256k1Instance { ... }
expect object Log { ... }
expect object LibSodiumInstance { ... }

Classes (instantiable):

expect class AESCBC { ... }
expect class DigestInstance { ... }

Functions (utilities):

expect fun platform(): String
expect fun currentTimeSeconds(): Long

See references/expect-actual-catalog.md for complete catalog with rationale.

Target-Specific Guidance

Android, JVM (Desktop), iOS - Current Primary Targets

Status: Mature patterns, stable APIs

Android (androidMain):

  • Uses Android framework (Activity, Context, etc.)
  • secp256k1-kmp-jni-android for crypto
  • AndroidX libraries

Desktop JVM (jvmMain):

  • Uses Compose Desktop (Window, MenuBar, etc.)
  • secp256k1-kmp-jni-jvm for crypto
  • Pure JVM libraries

iOS (iosMain):

  • Active development, framework configured
  • Architecture targets: macosArm64Main, iosArm64Main, iosSimulatorArm64Main
  • Platform APIs via platform.posix, Security framework

Web, wasm - Future Targets

Status: Not yet implemented, consider for future-proofing

Constraints to know:

  • ❌ No platform.posix (file I/O different)
  • ❌ No JVM libraries (Jackson, OkHttp won't work)
  • ❌ Different async model (JS event loop vs threads)

Future-proofing tips:

  1. Prefer pure Kotlin in commonMain
  2. Use kotlinx.* libraries:
    • kotlinx.serialization instead of Jackson
    • ktor instead of OkHttp (ktor supports web)
    • kotlinx.datetime instead of custom date handling
  3. Avoid platform.posix for file operations
  4. Test abstractions work without JVM assumptions

Example migration path:

// Current: jvmAndroid (JVM-only)
api(libs.jackson.module.kotlin)

// Future: commonMain (all platforms)
api(libs.kotlinx.serialization.json)

Integration: When to Invoke Other Skills

Invoke gradle-expert

Trigger gradle-expert skill when encountering:

  • Dependency conflicts (e.g., secp256k1-android vs secp256k1-jvm version mismatch)
  • Build errors related to source sets
  • Version catalog issues (libs.versions.toml)
  • "Duplicate class" errors
  • Performance/build time issues

Example trigger:

Error: Duplicate class found: fr.acinq.secp256k1.Secp256k1

→ Invoke gradle-expert for dependency conflict resolution.

Flags to Raise

Platform code in commonMain:

// ❌ INCORRECT - Android API in commonMain
expect fun getContext(): Context  // Context is Android-only!

→ Flag: "Android API in commonMain won't compile on other platforms"

Duplicated business logic:

// ❌ INCORRECT - Same logic in both
// androidMain/.../CryptoUtils.kt
fun validateSignature(...) { ... }

// jvmMain/.../CryptoUtils.kt
fun validateSignature(...) { ... }  // Duplicated!

→ Flag: "Business logic duplicated, should be in commonMain or expect/actual"

Reinventing wheel - suggest KMP alternatives:

  • Custom date/time → kotlinx.datetime
  • OkHttp → ktor (supports web)
  • Jackson → kotlinx.serialization
  • Custom UUID → kotlinx.uuid (when stable)

Common Pitfalls

1. Over-Abstraction

Problem: Creating expect/actual for UI components

// ❌ BAD
expect fun NavigationComponent(...)

Why: Navigation paradigms too different (Activity vs Window) Fix: Keep platform-specific, accept duplication

2. Under-Sharing

Problem: Duplicating business logic across platforms

// ❌ BAD - duplicated in androidMain and jvmMain
fun parseNostrEvent(json: String): Event { ... }

Why: Bug fixes need to be applied twice, tests duplicated Fix: Move to commonMain (pure Kotlin) or create expect/actual

3. Leaky Abstractions

Problem: Platform code in commonMain

// commonMain - ❌ BAD<
how to use kotlin-multiplatform

How to use kotlin-multiplatform 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 kotlin-multiplatform
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 kotlin-multiplatform

The skills CLI fetches kotlin-multiplatform 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/kotlin-multiplatform

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

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.745 reviews
  • Naina Tandon· Dec 28, 2024

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

  • Ganesh Mohane· Dec 20, 2024

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

  • Alexander Shah· Dec 4, 2024

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

  • Kabir Park· Nov 23, 2024

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

  • Anika White· Nov 19, 2024

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

  • Charlotte Ndlovu· Oct 14, 2024

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

  • Anika Srinivasan· Oct 10, 2024

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

  • Hassan Srinivasan· Sep 21, 2024

    kotlin-multiplatform reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Alexander Sharma· Sep 21, 2024

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

  • Rahul Santra· Sep 13, 2024

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

showing 1-10 of 45

1 / 5