kotlin-patterns▌
affaan-m/everything-claude-code · updated Apr 8, 2026
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Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.
Kotlin Development Patterns
Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.
When to Use
- Writing new Kotlin code
- Reviewing Kotlin code
- Refactoring existing Kotlin code
- Designing Kotlin modules or libraries
- Configuring Gradle Kotlin DSL builds
How It Works
This skill enforces idiomatic Kotlin conventions across seven key areas: null safety using the type system and safe-call operators, immutability via val and copy() on data classes, sealed classes and interfaces for exhaustive type hierarchies, structured concurrency with coroutines and Flow, extension functions for adding behaviour without inheritance, type-safe DSL builders using @DslMarker and lambda receivers, and Gradle Kotlin DSL for build configuration.
Examples
Null safety with Elvis operator:
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user?.email ?: "[email protected]"
}
Sealed class for exhaustive results:
sealed class Result<out T> {
data class Success<T>(val data: T) : Result<T>()
data class Failure(val error: AppError) : Result<Nothing>()
data object Loading : Result<Nothing>()
}
Structured concurrency with async/await:
suspend fun fetchUserWithPosts(userId: String): UserProfile =
coroutineScope {
val user = async { userService.getUser(userId) }
val posts = async { postService.getUserPosts(userId) }
UserProfile(user = user.await(), posts = posts.await())
}
Core Principles
1. Null Safety
Kotlin's type system distinguishes nullable and non-nullable types. Leverage it fully.
// Good: Use non-nullable types by default
fun getUser(id: String): User {
return userRepository.findById(id)
?: throw UserNotFoundException("User $id not found")
}
// Good: Safe calls and Elvis operator
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user?.email ?: "[email protected]"
}
// Bad: Force-unwrapping nullable types
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user!!.email // Throws NPE if null
}
2. Immutability by Default
Prefer val over var, immutable collections over mutable ones.
// Good: Immutable data
data class User(
val id: String,
val name: String,
val email: String,
)
// Good: Transform with copy()
fun updateEmail(user: User, newEmail: String): User =
user.copy(email = newEmail)
// Good: Immutable collections
val users: List<User> = listOf(user1, user2)
val filtered = users.filter { it.email.isNotBlank() }
// Bad: Mutable state
var currentUser: User? = null // Avoid mutable global state
val mutableUsers = mutableListOf<User>() // Avoid unless truly needed
3. Expression Bodies and Single-Expression Functions
Use expression bodies for concise, readable functions.
// Good: Expression body
fun isAdult(age: Int): Boolean = age >= 18
fun formatFullName(first: String, last: String): String =
"$first $last".trim()
fun User.displayName(): String =
name.ifBlank { email.substringBefore('@') }
// Good: When as expression
fun statusMessage(code: Int): String = when (code) {
200 -> "OK"
404 -> "Not Found"
500 -> "Internal Server Error"
else -> "Unknown status: $code"
}
// Bad: Unnecessary block body
fun isAdult(age: Int): Boolean {
return age >= 18
}
4. Data Classes for Value Objects
Use data classes for types that primarily hold data.
// Good: Data class with copy, equals, hashCode, toString
data class CreateUserRequest(
val name: String,
val email: String,
val role: Role = Role.USER,
)
// Good: Value class for type safety (zero overhead at runtime)
@JvmInline
value class UserId(val value: String) {
init {
require(value.isNotBlank()) { "UserId cannot be blank" }
}
}
@JvmInline
value class Email(val value: String) {
init {
require('@' in value) { "Invalid email: $value" }
}
}
fun getUser(id: UserId): User = userRepository.findById(id)
Sealed Classes and Interfaces
Modeling Restricted Hierarchies
// Good: Sealed class for exhaustive when
sealed class Result<out T> {
data class Success<T>(val data: T) How to use kotlin-patterns on Cursor
AI-first code editor with Composer
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-patterns
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches kotlin-patterns from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate kotlin-patterns. Access the skill through slash commands (e.g., /kotlin-patterns) 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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★72 reviews- ★★★★★Dev Agarwal· Dec 28, 2024
kotlin-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Dev Verma· Dec 28, 2024
Solid pick for teams standardizing on skills: kotlin-patterns is focused, and the summary matches what you get after install.
- ★★★★★Mei Kapoor· Dec 24, 2024
We added kotlin-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dev Bhatia· Dec 24, 2024
kotlin-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Dixit· Dec 16, 2024
kotlin-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diego Singh· Dec 16, 2024
We added kotlin-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Olivia Bansal· Nov 27, 2024
kotlin-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Dev Wang· Nov 19, 2024
Registry listing for kotlin-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Diego Jackson· Nov 15, 2024
kotlin-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Dev Zhang· Nov 15, 2024
Registry listing for kotlin-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
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