API And Interface Design
CommunityGuillemRoca
Use when designing interfaces between layers (Repository, UseCase, API client) or defining data contracts. Covers Retrofit interfaces, Room DAOs, Kotlin sealed classes, backward compatibility, and idempotency keys for safely retried writes.
Overview
- Repository
- GuillemRoca/agent-skills-android
- Publisher
- GuillemRoca
- Stars
- 6
- Forks
- 3
- Bundled files
- 0
- License
- MIT
- Updated
- Oct 3, 2026
Installation
tmp=$(mktemp -d)
git clone --depth 1 https://github.com/GuillemRoca/agent-skills-android.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/skills/api-and-interface-design" ~/.claude/skills/api-and-interface-design
rm -rf "$tmp"tmp=$(mktemp -d)
git clone --depth 1 https://github.com/GuillemRoca/agent-skills-android.git "$tmp"
mkdir -p ~/.codex/skills
cp -R "$tmp/skills/api-and-interface-design" ~/.codex/skills/api-and-interface-design
rm -rf "$tmp"Install the API And Interface Design agent skill from https://github.com/GuillemRoca/agent-skills-android/tree/main/skills/api-and-interface-design into this project's skills folder.Instructions
API and Interface Design
Overview
Hyrum's Law: "With a sufficient number of users of an API, all observable behaviors of your system will be depended on by somebody." Design interfaces — Repository contracts, UseCase signatures, Retrofit services, Room DAOs — as deliberate contracts. Everything observable becomes a dependency.
When to Use
- Defining a new Repository interface
- Creating Retrofit API service interfaces
- Designing Room DAOs
- Defining ViewModel ↔ UI contracts (UiState, Events)
- Changing any public interface in a shared module
- Designing inter-module contracts in multi-module projects
- Sending state-changing requests that can be retried (payments, orders, messages, uploads)
Skip when: Modifying internal (private) implementation details.
Core Process
Step 1: Contract-First Design
- Define the interface before implementing:
// Repository contract (in :core:domain)
interface TaskRepository {
fun getTasks(): Flow<List<Task>>
fun getTaskById(taskId: String): Flow<Task?>
suspend fun createTask(title: String, description: String?): Task
suspend fun updateTask(task: Task)
suspend fun deleteTask(taskId: String)
suspend fun syncWithRemote()
}- Design principles:
- Return
Flowfor observable data (notsuspendfor single reads) - Use
suspendfor one-shot operations - Accept domain types, not framework types (no
Entityin interfaces) - Throw domain-specific exceptions, not framework exceptions
- Return
Step 2: Retrofit Interfaces
- Define clean API contracts:
interface TaskApi {
@GET("tasks")
suspend fun getTasks(
@Query("page") page: Int = 1,
@Query("per_page") perPage: Int = 20,
): TaskListResponse
@GET("tasks/{id}")
suspend fun getTask(@Path("id") taskId: String): TaskResponse
@POST("tasks")
suspend fun createTask(@Body request: CreateTaskRequest): TaskResponse
@PUT("tasks/{id}")
suspend fun updateTask(
@Path("id") taskId: String,
@Body request: UpdateTaskRequest,
): TaskResponse
@DELETE("tasks/{id}")
suspend fun deleteTask(@Path("id") taskId: String)
}- API contract rules:
- Use
@Serializabledata classes for request/response bodies (Kotlin Serialization) - Separate request and response models (even if fields overlap)
- Use
sealed classfor polymorphic responses - Never expose Retrofit internals (no
Response<T>in Repository interface)
- Use
Step 3: Data Models and Sealed Types
- Use the type system to make illegal states unrepresentable:
// BAD: stringly-typed status
data class Task(
val id: String,
val title: String,
val status: String, // "pending", "in_progress", "completed" — typos possible
)
// GOOD: sealed type
data class Task(
val id: String,
val title: String,
val status: TaskStatus,
)
sealed interface TaskStatus {
data object Pending : TaskStatus
data object InProgress : TaskStatus
data class Completed(val completedAt: Instant) : TaskStatus
}- Use value classes for type safety:
@JvmInline
value class TaskId(val value: String)
@JvmInline
value class UserId(val value: String)
// Prevents accidentally passing a UserId where a TaskId is expected
suspend fun getTask(taskId: TaskId): TaskStep 4: Error Handling Strategy
- Define domain-specific errors:
sealed interface DataError {
data class Network(val cause: Throwable) : DataError
data class NotFound(val id: String) : DataError
data class Validation(val message: String) : DataError
data object Unauthorized : DataError
data class Unknown(val cause: Throwable) : DataError
}
// Use Result type for operations that can fail
suspend fun createTask(title: String): Result<Task>
// Or define a custom Result type
sealed interface DataResult<out T> {
data class Success<T>(val data: T) : DataResult<T>
data class Error(val error: DataError) : DataResult<Nothing>
}- Error handling rules:
- Catch specific exceptions, not generic
Exception - Map framework exceptions to domain errors at the boundary
- Never swallow errors silently
- Provide actionable error messages for the UI
- Catch specific exceptions, not generic
Step 5: Backward Compatibility
- Extend, don't modify:
// Version 1
interface TaskRepository {
fun getTasks(): Flow<List<Task>>
suspend fun createTask(title: String): Task
}
// Version 2: ADD new methods, don't change existing signatures
interface TaskRepository {
fun getTasks(): Flow<List<Task>>
suspend fun createTask(title: String): Task
// New: added with default implementation for backward compatibility
fun getTasksByStatus(status: TaskStatus): Flow<List<Task>> =
getTasks().map { tasks -> tasks.filter { it.status == status } }
}- When breaking changes are necessary:
- Deprecate with
@Deprecatedand replacement guidance - Provide a migration period
- Update all callers in the same PR
- See
deprecation-and-migrationfor the full process
- Deprecate with
Step 6: Naming Conventions
| Element | Convention | Example |
|---|---|---|
| Repository | get*, observe*, create*, update*, delete* |
getTaskById() |
| UseCase | Verb phrase, operator fun invoke() |
GetTasksUseCase() |
| Retrofit | HTTP-verb aligned | @GET, @POST, @PUT, @DELETE |
| Room DAO | observe* for Flow, get* for suspend |
observeAll(), getById() |
| UiState | Sealed interface per screen | TaskListUiState.Success |
| Events | Past-tense or imperative | TaskClicked, DeleteTask |
| Request/Response | Suffixed | CreateTaskRequest, TaskResponse |
Step 7: Validation at Boundaries
- Validate at system boundaries, trust internally:
// At the API boundary (Retrofit interceptor or repository)
class TaskRepositoryImpl @Inject constructor(
private val api: TaskApi,
private val dao: TaskDao,
) : TaskRepository {
override suspend fun createTask(title: String, description: String?): Task {
// Validate at boundary
require(title.isNotBlank()) { "Task title must not be blank" }
require(title.length <= 200) { "Task title must not exceed 200 characters" }
val entity = TaskEntity(
id = UUID.randomUUID().toString(),
title = title.trim(),
description = description?.trim(),
)
dao.upsert(entity)
return entity.toDomain()
}
}Step 8: Idempotency Keys for Retried Writes
- Assume every write is sent more than once. On Android, duplicates come from OkHttp's
retryOnConnectionFailure, caller retry loops, WorkManager retries with backoff, double-taps, and process death between sending a request and persisting the response. A timeout means unknown, not failed — the server may already have applied it. For non-idempotent writes (POSTthat charges, orders, sends), attach anIdempotency-Key.
Key the intent, not the attempt. Generate a UUID once when the user commits the action, persist it with the pending operation (Room outbox row or WorkManager inputData), and reuse it on every retry — including after process death:
@Entity data class PendingOrder(@PrimaryKey val idempotencyKey: String, val cartId: String, val payload: String)
suspend fun placeOrder(cart: Cart) { // runs once per user intent
val op = PendingOrder(UUID.randomUUID().toString(), cart.id, json.encodeToString(cart.toRequest()))
outboxDao.insert(op) // key survives process death
workManager.enqueue(OneTimeWorkRequestBuilder<SubmitOrderWorker>()
.setInputData(workDataOf("key" to op.idempotencyKey)).build())
}
interface OrderApi {
@POST("orders")
suspend fun createOrder(@Header("Idempotency-Key") key: String, @Body body: CreateOrderRequest): OrderResponse
}
// In SubmitOrderWorker.doWork(): same key on every attempt
val key = inputData.getString("key") ?: return Result.failure()
val op = outboxDao.get(key) ?: return Result.success() // already submitted
return try {
api.createOrder(op.idempotencyKey, json.decodeFromString(op.payload))
outboxDao.delete(op)
Result.success()
} catch (e: IOException) {
Result.retry() // outcome unknown: retry with the same key
} catch (e: HttpException) {
if (e.code() == 409) Result.retry() else Result.failure() // 409 = still in flight (check your server's contract)
}- Never generate the key inside an OkHttp interceptor, the Retrofit call, or
doWork()— that layer runs once per attempt. If you prefer an interceptor over@Header, pass the stored key via a Retrofit@Tagand read it withrequest.tag(). - Don't derive the key from content (
"$userId:$amount") — two legitimate identical orders would collapse into one.
Know the server contract (usually another team's): it stores key + request fingerprint + response, replays the stored response for a repeat, rejects the same key with a different body (422, sometimes 409), returns 409 while the first attempt is still in flight, and expires keys after a window. Client consequences: treat a replayed response as success, retry an in-flight 409 with backoff, treat a body-mismatch error as a client bug (never "fix" it with a new key), and keep the outbox retry horizon shorter than the server's key expiry.
Common Rationalizations
| Shortcut | Why It Fails |
|---|---|
| "I'll define the interface from the implementation" | Implementation leaks into the contract. Design the contract first. |
| "One model for all layers is simpler" | Coupling DB schema to API to UI makes all three brittle. |
| "Strings are fine for types" | Strings allow typos, have no exhaustiveness checking, and no IDE support. |
| "We don't need backward compatibility yet" | By the time you need it, you have callers you can't easily find. |
| "Duplicate requests are rare" | They're correlated with bad networks and degraded backends — exactly when retries spike and duplicates cost most. |
| "A new key per retry is fine, the server dedupes" | The server dedupes by key. A fresh key per attempt is a fresh charge per attempt. |
| "The key can live in memory" | Process death mid-request is routine on Android. A key that isn't persisted with the operation is lost exactly when a retry is needed. |
Red Flags
- Room entities exposed to UI layer
- Retrofit
Response<T>returned from Repository - Generic
Stringwhere sealed type or enum is appropriate - No validation at system boundaries
- Breaking interface changes without deprecation
AnyorObjectin public interfaces- Inconsistent naming across layers
- Non-idempotent
POST(payment, order, message) retried without anIdempotency-Key UUID.randomUUID()for the key inside an interceptor, API call, ordoWork()- Idempotency key held only in memory or a ViewModel, not persisted with the pending operation
- A
409/422on a keyed request "handled" by retrying with a new key
Verification
- Interfaces designed before implementation (contract-first)
- Domain types used at interface boundaries (not framework types)
- Sealed types used for finite state sets
- Error handling uses domain-specific error types
- Validation at system boundaries, trust internally
- Naming follows project conventions
- Backward compatibility maintained (or breaking change documented)
- Tests verify interface contracts
- Every retryable state-changing request sends an
Idempotency-Key, or is documented as unsafe to retry - Key is generated once per user intent and persisted with the pending operation (test: kill the process mid-request, the retry sends the same key)
-
409/422and replayed responses are handled per the server contract, and the client retry horizon is shorter than server key expiry
FAQ
What does API And Interface Design do?
Use when designing interfaces between layers (Repository, UseCase, API client) or defining data contracts. Covers Retrofit interfaces, Room DAOs, Kotlin sealed classes, backward compatibility, and idempotency keys for safely retried writes.
Who made API And Interface Design?
GuillemRoca (a community member) publishes it in the GuillemRoca/agent-skills-android repository on GitHub.
Is API And Interface Design free?
Yes. API And Interface Design is open source, published by GuillemRoca under the MIT license.
What comes with API And Interface Design?
Just its instructions. Everything the agent needs is in one SKILL.md file.
Which agents can use API And Interface Design?
Any coding agent that reads SKILL.md files, including Claude Code, Codex, Cursor, GitHub Copilot and Gemini CLI. The agent loads the skill when a task matches its description.
What are agent skills?
An agent skill is a folder with a SKILL.md file: instructions that teach a coding agent how to do one kind of task, and optionally files it can read while it works. The agent keeps only the skill's name and description in mind and reads the rest when a task calls for it.
How are agent skills different from MCP servers?
An MCP server gives an agent new tools to call, code that runs somewhere and returns results. A skill gives it knowledge: how to approach a task with the tools it already has. Many agents use both.
How can my agent test my Android app?
Robomori lets coding agents create, start and control Android emulators and devices from one command, so they can install your app, take screenshots and check dark mode, font sizes and languages.