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/kotlin-concurrency-and-flow

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

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chrisbanes-skills
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Install
$ npx -y skills add chrisbanes/skills --skill kotlin-concurrency-and-flow --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/kotlin-concurrency-and-flow

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

kotlin-concurrency-and-flow.SKILL.md
name: kotlin-concurrency-and-flow
description: Use when writing or reviewing Kotlin coroutine scope ownership, 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. Select a scope whose lifecycle owns the work; do not retain arbitrary scopes or hide unstructured launches behind non-suspending APIs. 3. Model renderable, current data as state and imperative one-shot work as an event only when its loss and replay behavior are explicitly acceptable. 4. Choose Flow sharing and buffering semantics from the producer and consumer lifetimes rather than from a default. 5. Read the focused reference for the material concern below. 6. 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

| Signal | Read | |---|---| | Stored `CoroutineScope`, `init { launch }`, fire-and-forget API, `runBlocking`, broad catch, or cancellation boundary | [Structured concurrency](references/structured-concurrency.md) | | `StateFlow`, `SharedFlow`, `Channel`, `stateIn`, `SharingStarted`, `.value`, state updates, sentinel values, or one-shot events | [Flow state and events](references/flow-state-events.md) | | Compose collection or UI effect handling | [Compose state and effects](../compose-state-and-effects/SKILL.md) |

RED/GREEN agent scenarios

1. RED stores a long-lived `CoroutineScope` in a service and launches from arbitrary callers. GREEN makes ownership and cancellation follow a defined lifecycle boundary. 2. Novel case: a screen needs replayable loading state and non-replayable navigation. GREEN uses distinct state and event contracts with documented delivery semantics. 3. Counterexample: a suspend function already has a caller-owned scope. GREEN does not add an internal scope merely to make the API look asynchronous.

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Ships withchrisbanes-skills

A set of skills for Kotlin, Jetpack Compose, and Android development.

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