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Vue Best Practices

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antfu
vue-best-practices

MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.

Overview

Publisherantfu
Repositoryskills
Skill namevue-best-practices
Stars
5.9K
Forks
333
Bundled files
23
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.

  • 23 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Vue Best Practices 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/antfu/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/vue-best-practices .claude/skills/vue-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vue Best Practices 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 Vue Best Practices 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 Vue Best Practices 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.

Vue Best Practices Workflow

Use this skill as an instruction set. Follow the workflow in order unless the user explicitly asks for a different order.

Core Principles

  • Keep state predictable: one source of truth, derive everything else.
  • Make data flow explicit: Props down, Events up for most cases.
  • Favor small, focused components: easier to test, reuse, and maintain.
  • Avoid unnecessary re-renders: use computed properties and watchers wisely.
  • Readability counts: write clear, self-documenting code.

1) Confirm architecture before coding (required)

  • Default stack: Vue 3 + Composition API + <script setup lang="ts">.
  • If the project explicitly uses Options API, load vue-options-api-best-practices skill if available.
  • If the project explicitly uses JSX, load vue-jsx-best-practices skill if available.

1.1 Must-read core references (required)

  • Before implementing any Vue task, make sure to read and apply these core references:
    • references/reactivity.md
    • references/sfc.md
    • references/component-data-flow.md
    • references/composables.md
  • Keep these references in active working context for the entire task, not only when a specific issue appears.

1.2 Plan component boundaries before coding (required)

Create a brief component map before implementation for any non-trivial feature.

  • Define each component's single responsibility in one sentence.
  • Keep entry/root and route-level view components as composition surfaces by default.
  • Move feature UI and feature logic out of entry/root/view components unless the task is intentionally a tiny single-file demo.
  • Define props/emits contracts for each child component in the map.
  • Prefer a feature folder layout (components/<feature>/..., composables/use<Feature>.ts) when adding more than one component.

2) Apply essential Vue foundations (required)

These are essential, must-know foundations. Apply all of them in every Vue task using the core references already loaded in section 1.1.

Reactivity

  • Must-read reference from 1.1: reactivity
  • Keep source state minimal (ref/reactive), derive everything possible with computed.
  • Use watchers for side effects if needed.
  • Avoid recomputing expensive logic in templates.

SFC structure and template safety

  • Must-read reference from 1.1: sfc
  • Keep SFC sections in this order: <script><template><style>.
  • Keep SFC responsibilities focused; split large components.
  • Keep templates declarative; move branching/derivation to script.
  • Apply Vue template safety rules (v-html, list rendering, conditional rendering choices).

Keep components focused

Split a component when it has more than one clear responsibility (e.g. data orchestration + UI, or multiple independent UI sections).

  • Prefer smaller components + composables over one “mega component”
  • Move UI sections into child components (props in, events out).
  • Move state/side effects into composables (useXxx()).

Apply objective split triggers. Split the component if any condition is true:

  • It owns both orchestration/state and substantial presentational markup for multiple sections.
  • It has 3+ distinct UI sections (for example: form, filters, list, footer/status).
  • A template block is repeated or could become reusable (item rows, cards, list entries).

Entry/root and route view rule:

  • Keep entry/root and route view components thin: app shell/layout, provider wiring, and feature composition.
  • Do not place full feature implementations in entry/root/view components when those features contain independent parts.
  • For CRUD/list features (todo, table, catalog, inbox), split at least into:
    • feature container component
    • input/form component
    • list (and/or item) component
    • footer/actions or filter/status component
  • Allow a single-file implementation only for very small throwaway demos; if chosen, explicitly justify why splitting is unnecessary.

Component data flow

  • Must-read reference from 1.1: component-data-flow
  • Use props down, events up as the primary model.
  • Use v-model only for true two-way component contracts.
  • Use provide/inject only for deep-tree dependencies or shared context.
  • Keep contracts explicit and typed with defineProps, defineEmits, and InjectionKey as needed.

Composables

  • Must-read reference from 1.1: composables
  • Extract logic into composables when it is reused, stateful, or side-effect heavy.
  • Keep composable APIs small, typed, and predictable.
  • Separate feature logic from presentational components.

3) Consider optional features only when requirements call for them

3.1 Standard optional features

Do not add these by default. Load the matching reference only when the requirement exists.

3.2 Less-common optional features

Use these only when there is explicit product or technical need.

  • Directives: behavior is DOM-specific and not a good composable/component fit -> directives
  • Async components: heavy/rarely-used UI should be lazy loaded -> component-async
  • Render functions only when templates cannot express the requirement -> render-functions
  • Plugins when behavior must be installed app-wide -> plugins
  • State management patterns: app-wide shared state crosses feature boundaries -> state-management

4) Run performance optimization after behavior is correct

Performance work is a post-functionality pass. Do not optimize before core behavior is implemented and verified.

5) Final self-check before finishing

  • Core behavior works and matches requirements.
  • All must-read references were read and applied.
  • Reactivity model is minimal and predictable.
  • SFC structure and template rules are followed.
  • Components are focused and well-factored, splitting when needed.
  • Entry/root and route view components remain composition surfaces unless there is an explicit small-demo exception.
  • Component split decisions are explicit and defensible (responsibility boundaries are clear).
  • Data flow contracts are explicit and typed.
  • Composables are used where reuse/complexity justifies them.
  • Moved state/side effects into composables if applicable
  • Optional features are used only when requirements demand them.
  • Performance changes were applied only after functionality was complete.

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 Vue Best Practices AI skill do?

MUST be used for Vue.js tasks. Strongly recommends Composition API with `<script setup>` and TypeScript as the standard approach. Covers Vue 3, SSR, Volar, vue-tsc. Load for any Vue, .vue files, Vue Router, Pinia, or Vite with Vue work. ALWAYS use Composition API unless the project explicitly requires Options API.

Why use Vue Best Practices on TypingMind?

Because you install it once and use it with any model. Vue Best Practices 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 Vue Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antfu/skills/tree/main/skills/vue-best-practices. 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 Vue Best Practices?

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 Vue Best Practices?

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

Is the Vue Best Practices AI skill free?

Yes. It is published on GitHub by antfu 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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