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Provide Inject

Organization
PatternsDev
provide-inject

Teaches Vue's provide/inject API for dependency injection across components. Use when deeply nested components need access to ancestor data without threading props through intermediate layers.

Overview

PublisherPatternsDev
Repositoryskills
Skill nameprovide-inject
Stars
250
Forks
27
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 PatternsDev on GitHub. Read the source before you install it.

Installation

Install the Provide Inject 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/PatternsDev/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/vue/provide-inject .claude/skills/provide-inject
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Provide Inject 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 Provide Inject 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 Provide Inject 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.

Provide/Inject

When managing data between parent and child components, Vue gives us the ability to use something known as props to pass data down from parent to child. Props can only flow in one direction, from parent components to child components (and further down). When state changes occur on parent elements, Vue will re-render components that depend on those values.

Using props works well in most cases. However, when working in large applications with a large number of components in the component tree, props can become hard to maintain since props need to be declared in each and every component in the component tree.

When to Use

  • Use this when you need to pass data through deeply nested component trees without prop drilling
  • This is helpful for application-wide data like themes, locale, or authentication state

When NOT to Use

  • For parent-child communication where props are simpler, more explicit, and easier to trace
  • When the implicit dependency makes components harder to test in isolation or reuse outside the provider tree
  • When a state management solution (Pinia) is already in place and provides the same shared state capability

Instructions

  • Use provide() in a parent or ancestor component to make data available to all descendants
  • Use inject() in child components to access provided data
  • Use app-level app.provide() for data needed across the entire application (e.g., plugins)
  • Prefer props for data isolated to a specific set of components; use provide/inject for cross-cutting concerns
  • Be aware that debugging can be harder with provide/inject in large apps with many providers

Details

When considering how data can be managed between a large number of components, it's often best to work towards a solution that allows the management of application-level state in a maintainable and manageable manner (e.g. creating a reusable store, using Pinia, etc.). We talk about this in more detail in the State Management guide.

However, Vue also provides a certain pattern to help avoid the need for complex prop drilling in a Vue application known as the provide/inject pattern.

Provide/Inject

The provide() function in Vue allows us to pass data through a component tree without the need to prop-drill (i.e., pass props down manually at every level). On the other hand, the inject() option is used in child components to access the provided data or methods from their parent or any ancestor component.

We'll go through a simple example to illustrate how this can be done. Suppose we have a parent component called App that wants to share a piece of data with its child component, ChildComponent. Instead of passing this data as a prop, we can use provide() in the parent component to make the data available to all its child components.

html
<template>
  <div id="app">
    <ChildComponent />
  </div>
</template>

<script setup>
  import { provide } from "vue";
  import ChildComponent from "./components/ChildComponent";

  provide("data", "Data from parent!");
</script>

We can then access this provided data in the ChildComponent with the help of the inject() function.

html
<template>
  <div>
    <p>{{ data }}</p>
  </div>
</template>

<script setup>
  import { inject } from "vue";

  const data = inject("data");
</script>

By specifying inject("data") in the child component (ChildComponent), we directly access the provided data value from the parent component. We then bind data to the template to display its value.

With provide/inject, we would notice the same behavior even if we had numerous child components within the component hierarchy tree. Data from the parent <App /> component will be rendered in any deeply nested child component without the need to prop-drill data through every component in the tree, thanks to provide/inject!

In addition to being able to provide() data from a parent component, we can lift the provide() up to the app level as well (i.e. where we instantiate our Vue application).

js
import { createApp } from "vue";
import App from "./App.vue";
import "./styles.css";

const app = createApp(App);

// app-level provide
app.provide("data", "Data from parent!");

app.mount("#app");

Since app-level provides make data available to all components, they are often helpful when creating plugins — self-contained code that adds functionality to the entire Vue app.

Props vs. provide/inject

When do we choose between props and the provide/inject pattern? Both approaches have their advantages and disadvantages.

With props:
  • We follow a clear pattern of passing data incrementally from one level to another (advantage).
  • However, if our component hierarchy tree contains a large number of components, the process of passing props data one level at a time can become cumbersome (disadvantage).
With provide/inject
  • Child components can directly access data from parent components located multiple levels above, eliminating the need for passing down data at each level (advantage).
  • However, when bugs arise, debugging can be more challenging with provide/inject. This challenge becomes more pronounced in large-scale applications with numerous different providers (disadvantage).

The provide/inject pattern is most suitable for application-wide client data, such as theme information, locale/language preferences, and user authentication details. These types of data are better managed with provide/inject since any component within the application may require access to them at any given time.

On the other hand, props are ideal when data needs to be isolated within a specific set of components only.

Source

References

Frequently asked questions

What does the Provide Inject AI skill do?

Teaches Vue's provide/inject API for dependency injection across components. Use when deeply nested components need access to ancestor data without threading props through intermediate layers.

Why use Provide Inject on TypingMind?

Because you install it once and use it with any model. Provide Inject 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 Provide Inject in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/PatternsDev/skills/tree/main/vue/provide-inject. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Provide Inject?

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 Provide Inject?

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

Is the Provide Inject AI skill free?

Yes. It is published on GitHub by PatternsDev 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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