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Create Adaptable Composable

OrganizationPopular
vuejs-ai
create-adaptable-composable

Create a library-grade Vue composable that accepts maybe-reactive inputs (MaybeRef / MaybeRefOrGetter) so callers can pass a plain value, ref, or getter. Normalize inputs with toValue()/toRef() inside reactive effects (watch/watchEffect) to keep behavior predictable and reactive. Use this skill when user asks for creating adaptable or reusable composables.

Overview

Publishervuejs-ai
Repositoryskills
Skill namecreate-adaptable-composable
Stars
2.9K
Forks
166
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 vuejs-ai on GitHub. Read the source before you install it.

Installation

Install the Create Adaptable Composable 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.
2

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/vuejs-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/create-adaptable-composable .claude/skills/create-adaptable-composable
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Adaptable Composable 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 Create Adaptable Composable 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 Create Adaptable Composable 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.

Create Adaptable Composable

Adaptable composables are reusable functions that can accept both reactive and non-reactive inputs. This allows developers to use the composable in a variety of contexts without worrying about the reactivity of the inputs.

Steps to design an adaptable composable in Vue.js:

  1. Confirm the composable's purpose and API design and expected inputs/outputs.
  2. Identify inputs params that should be reactive (MaybeRef / MaybeRefOrGetter).
  3. Use toValue() or toRef() to normalize inputs inside reactive effects.
  4. Implement the core logic of the composable using Vue's reactivity APIs.

Core Type Concepts

Type Utilities

ts
/**
 * value or writable ref (value/ref/shallowRef/writable computed)
 */
export type MaybeRef<T = any> = T | Ref<T> | ShallowRef<T> | WritableComputedRef<T>;

/**
 * MaybeRef<T> + ComputedRef<T> + () => T
 */
export type MaybeRefOrGetter<T = any> = MaybeRef<T> | ComputedRef<T> | (() => T);

Policy and Rules

  • Read-only, computed-friendly input: use MaybeRefOrGetter
  • Needs to be writable / two-way input: use MaybeRef
  • Parameter might be a function value (callback/predicate/comparator): do not use MaybeRefOrGetter, or you may accidentally invoke it as a getter.
  • DOM/Element targets: if you want computed/derived targets, use MaybeRefOrGetter.

When MaybeRefOrGetter or MaybeRef is used:

  • resolve reactive value using toRef() (e.g. watcher source)
  • resolve non-reactive value using toValue()

Examples

Adaptable useDocumentTitle Composable: read-only title parameter

ts
import { watch, toRef } from 'vue'
import type { MaybeRefOrGetter } from 'vue'

export function useDocumentTitle(title: MaybeRefOrGetter<string>) {
  watch(toRef(title), (t) => {
    document.title = t
  }, { immediate: true })
}

Adaptable useCounter Composable: two-way writable count parameter

ts
import { watch, toRef } from 'vue'
import type { MaybeRef } from 'vue'

function useCounter(count: MaybeRef<number>) {
  const countRef = toRef(count)
  function add() {
    countRef.value++
  }
  return { add }
}

Frequently asked questions

What does the Create Adaptable Composable AI skill do?

Create a library-grade Vue composable that accepts maybe-reactive inputs (MaybeRef / MaybeRefOrGetter) so callers can pass a plain value, ref, or getter. Normalize inputs with toValue()/toRef() inside reactive effects (watch/watchEffect) to keep behavior predictable and reactive. Use this skill when user asks for creating adaptable or reusable composables.

Why use Create Adaptable Composable on TypingMind?

Because you install it once and use it with any model. Create Adaptable Composable 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 Create Adaptable Composable in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vuejs-ai/skills/tree/main/skills/create-adaptable-composable. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Adaptable Composable?

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 Create Adaptable Composable?

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

Is the Create Adaptable Composable AI skill free?

Yes. It is published on GitHub by vuejs-ai 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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