Kotlin Concurrency And Flow

CommunityPopular

chrisbanes

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.

Overview

Publisher	chrisbanes
Repository	`skills`
Skill name	`kotlin-concurrency-and-flow`
Stars	1.1K
Forks	53
Bundled files	2
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by chrisbanes on GitHub. Read the source before you install it.

Installation

Install the Kotlin Concurrency And Flow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/chrisbanes/skills/tree/main/skills/kotlin-concurrency-and-flow
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/chrisbanes/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/kotlin-concurrency-and-flow .claude/skills/kotlin-concurrency-and-flow

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kotlin Concurrency And Flow in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kotlin Concurrency And Flow on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kotlin Concurrency And Flow is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Identify each coroutine owner, cancellation boundary, producer, consumer, durable state, and transient event.
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.
Select a scope whose lifecycle owns the work; do not retain arbitrary scopes or hide unstructured launches behind non-suspending APIs.
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.
Choose Flow sharing and buffering semantics from the producer and consumer lifetimes rather than from a default.
Read the focused reference for the material concern below.
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`, raw `Thread` or `Executor` work, `init { launch }`, fire-and-forget API, `runBlocking`, broad catch, or cancellation boundary	Structured concurrency
`StateFlow`, `SharedFlow`, `Channel`, `stateIn`, `SharingStarted`, `.value`, state updates, sentinel values, or one-shot events	Flow state and events
Compose collection or UI effect handling	Compose state and effects

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Kotlin Concurrency And Flow AI skill do?

Why use Kotlin Concurrency And Flow on TypingMind?

Because you install it once and use it with any model. Kotlin Concurrency And Flow is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kotlin Concurrency And Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chrisbanes/skills/tree/main/skills/kotlin-concurrency-and-flow. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kotlin Concurrency And Flow?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kotlin Concurrency And Flow?

As many as you like. As long as a model supports skills, you can use Kotlin Concurrency And Flow with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kotlin Concurrency And Flow AI skill free?

Yes. It is published on GitHub by chrisbanes under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Kotlin concurrency and Flow

Core principle

Procedure

Topic router

Bundled files

Frequently asked questions

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