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Unity Async

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Besty0728
unity-async

Advise on Unity async and lifecycle strategy

Overview

PublisherBesty0728
RepositoryUnity-Skills
Skill nameunity-async
Stars
1.8K
Forks
164
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Besty0728 on GitHub. Read the source before you install it.

Installation

Install the Unity Async AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.

Use it in TypingMind

Enable Unity Async 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 Unity Async 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 Unity Async 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.

Before calling any skill in this module: if you are about to call a skill with parameters guessed from its name or description, STOP — read this file (or fetch its schema via GET /skills/recommend?includeSchema=true) first. If you already have the parameter definitions from recommend/schema, you may proceed straight to dryRun.

Triggers

  • Choosing Update/coroutine/UniTask/timer
  • Handling cancellation and cleanup
  • 在 Update/协程/UniTask/定时器间取舍、处理取消与清理

Unity Async Strategy

Scope: this module is about async code you write into the Unity runtimeUpdate, coroutines, UniTask, cancellation and lifecycle ownership. It is not about the REST protocol's own async jobs. For jobId / polling / job_status / GET /jobs/{id}, see batch.

Use this skill when the user is deciding how runtime work should be scheduled or cleaned up.

Guardrails

Mode: Documentation only — no REST skills to gate; load freely under any operating mode (Approval / Auto / Bypass).

  • Do not recommend UniTask just because it looks more advanced than coroutine.
  • Prefer the simplest scheduling model that fits the use case.

Decision Ladder

  1. First ask whether the task needs per-frame work at all.
  2. If not, prefer events, callbacks, or explicit method calls.
  3. If a short Unity-bound sequence is needed, prefer coroutine.
  4. Recommend UniTask only when:
    • the project already uses it, or
    • the user explicitly wants it and accepts the dependency.
  5. Use Update only for true continuous simulation, polling, or input loops that cannot be event-driven.

Specific Guidance

  • Avoid many unrelated Update methods if a more event-driven flow works.
  • Cache references used in hot paths.
  • Always define lifecycle ownership:
    • who starts the work
    • who cancels or stops it
    • when it is cleaned up
  • In MonoBehaviour, prefer OnEnable / OnDisable / OnDestroy for subscribe-unsubscribe symmetry.
  • Use IDisposable mainly for pure C# lifetimes, temporary subscriptions, or scope-based cleanup helpers, not as a cargo-cult replacement for Unity lifecycle methods.

Output Format

  • Recommended scheduling model
  • Why it fits
  • Lifecycle / cancellation owner
  • Hot-path risks
  • Why the heavier alternative is unnecessary, if applicable

Frequently asked questions

What does the Unity Async AI skill do?

Advise on Unity async and lifecycle strategy

Why use Unity Async on TypingMind?

Because you install it once and use it with any model. Unity Async 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 Unity Async in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Besty0728/Unity-Skills/tree/main/SkillsForUnity/unity-skills~/skills/async. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Unity Async?

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 Unity Async?

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

Is the Unity Async AI skill free?

Yes. It is published on GitHub by Besty0728 under the MIT 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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