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개발 및 엔지니어링 · SKILL.md

kotlin-concurrency-and-flow

kotlin-concurrency-and-flow

Use when writing or reviewing Kotlin coroutine scope ownership, raw Thread or Executor work, init launches, non-suspending launch APIs, runBlocking, cancellation, StateFlow, SharedFlow, Channel, stateIn, SharingStarted, state updates, or one-shot events.

Independent GitHub snapshot · Automated classification · Original documentation governs

Cchrisbanes / skillsApache-2.0

Skill 문서

GitHub

name: kotlin-concurrency-and-flow description: Use when writing or reviewing Kotlin coroutine scope ownership, raw Thread or Executor work, init launches, non-suspending launch APIs, runBlocking, cancellation, StateFlow, SharedFlow, Channel, stateIn, SharingStarted, state updates, or one-shot events.

Kotlin concurrency and Flow

Core principle

Give asynchronous work an explicit owner and lifetime, then model durable state and transient events with primitives whose delivery and replay semantics match the product contract.

Procedure

  1. Identify each coroutine owner, cancellation boundary, producer, consumer, durable state, and transient event.
  2. Before changing an API, compare its existing caller-visible contract with the required owner and lifetime. If a suspend API already gives its caller cancellation, result, and failure ownership, finish with no change; do not add a scope, launch, callback, or deferred wrapper merely for convenience.
  3. Select a scope whose lifecycle owns the work; do not retain arbitrary scopes or hide unstructured launches behind non-suspending APIs.
  4. Model renderable, current data as state and imperative one-shot work as an event only when its loss and replay behavior are explicitly acceptable. Ask whether one consumer handles each event or every active consumer must receive it. A Channel hands each event to one consumer; a configured SharedFlow broadcasts to active consumers. If that consumer contract is unknown, state both options and the decision needed before choosing one. For a one-consumer navigation handoff that must survive a collector gap, choose a buffered Channel exposed as receiveAsFlow(); do not preserve a replay-zero SharedFlow after identifying event loss as the defect.
  5. Choose Flow sharing and buffering semantics from the producer and consumer lifetimes rather than from a default.
  6. Read the focused reference for the material concern below.
  7. Finish when cancellation, restart, replay, and failure behavior are all observable from the public API and no caller must guess who owns the work.

Topic router

SignalRead
Stored CoroutineScope, raw Thread or Executor work, init { launch }, fire-and-forget API, runBlocking, broad catch, or cancellation boundaryStructured concurrency
StateFlow, SharedFlow, Channel, stateIn, SharingStarted, .value, state updates, sentinel values, or one-shot eventsFlow state and events
Compose collection or UI effect handlingCompose state and effects
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