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antfu
antfu

Anthony Fu's opinionated tooling and conventions for JavaScript/TypeScript projects. Use when setting up new projects, configuring ESLint/Prettier alternatives, monorepos, library publishing, or when the user mentions Anthony Fu's preferences.

Overview

Publisherantfu
Repositoryskills
Skill nameantfu
Stars
5.9K
Forks
333
Bundled files
5
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.

  • 5 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 Antfu 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/antfu .claude/skills/antfu
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Antfu 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 Antfu 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 Antfu 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.

Coding Practices

Code Organization

  • Single responsibility: Each source file should have a clear, focused scope/purpose
  • Split large files: Break files when they become large or handle too many concerns
  • Type separation: Always separate types and interfaces into types.ts or types/*.ts
  • Constants extraction: Move constants to a dedicated constants.ts file

Runtime Environment

  • Prefer isomorphic code: Write runtime-agnostic code that works in Node, browser, and workers whenever possible
  • Clear runtime indicators: When code is environment-specific, add a comment at the top of the file:
ts
// @env node
// @env browser

TypeScript

  • Explicit return types: Declare return types explicitly when possible
  • Avoid complex inline types: Extract complex types into dedicated type or interface declarations

Explicitness

Favor explicit, traceable code over implicit "magic". A reader (human or agent) should be able to follow where every name comes from without running tooling.

  • Explicit imports: Prefer explicit import statements. Avoid auto-imports — when a framework provides them (e.g. Nuxt/Nitro), turn them off for new projects (see app-development).
  • No path aliases by default: Use relative imports (./foo, ../bar). Only use path aliases (@/, ~/, #imports, etc.) when they are already configured in the project; don't introduce new ones for greenfield code.

Comments

  • Avoid unnecessary comments: Code should be self-explanatory
  • Explain "why" not "how": Comments should describe the reasoning or intent, not what the code does

Testing (Vitest)

  • Test files: foo.tsfoo.test.ts (same directory)
  • Use describe/it API (not test)
  • Use toMatchSnapshot for complex outputs
  • Use toMatchFileSnapshot with explicit path for language-specific snapshots

Tooling Choices

@antfu/ni Commands

CommandDescription
niInstall dependencies
ni <pkg> / ni -D <pkg>Add dependency / dev dependency
nr <script>Run script
nuUpgrade dependencies
nun <pkg>Uninstall dependency
nciClean install (pnpm i --frozen-lockfile)
nlx <pkg>Execute package (npx)

Checking npm Package Versions

Use fast-npm-meta to look up the latest version of a package — it queries a small metadata endpoint instead of downloading the full registry payload (which can be megabytes per package).

bash
nlx fast-npm-meta version vite              # 7.3.1
nlx fast-npm-meta version "nuxt@^3.5"       # 3.5.22 — range-aware
nlx fast-npm-meta version vite nuxt vue     # multiple at once
nlx fast-npm-meta version vite --json       # JSON for scripting
nlx fast-npm-meta full vite                 # full version list + dist-tags

Prefer this over npm view <pkg> version when you only need the latest version, and over reading package.json from the registry directly.

TypeScript Config

json
{
  "compilerOptions": {
    "target": "ESNext",
    "module": "ESNext",
    "moduleResolution": "bundler",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true,
    "resolveJsonModule": true,
    "isolatedModules": true,
    "noEmit": true
  }
}

ESLint Setup

js
// eslint.config.mjs
import antfu from '@antfu/eslint-config'

export default antfu()

When completing tasks, run pnpm run lint --fix to format the code and fix coding style.

For detailed configuration options: antfu-eslint-config

Git Hooks

json
{
  "simple-git-hooks": {
    "pre-commit": "pnpm i --frozen-lockfile --ignore-scripts --offline && npx lint-staged"
  },
  "lint-staged": { "*": "eslint --fix" },
  "scripts": {
    "prepare": "npx simple-git-hooks"
  }
}

pnpm Catalogs

Use named catalogs in pnpm-workspace.yaml for version management:

CatalogPurpose
prodProduction dependencies
inlinedBundler-inlined dependencies
devDev tools (linter, bundler, testing)
frontendFrontend libraries

Avoid the default catalog. Catalog names can be adjusted per project needs.


References

TopicDescriptionReference
ESLint ConfigFramework support, formatters, rule overrides, VS Code settingsantfu-eslint-config
Project Setup.gitignore, GitHub Actions, VS Code extensionssetting-up
App DevelopmentVue/Nuxt/UnoCSS conventions, auto-import control, Storybook component testingapp-development
Library Developmenttsdown bundling, pure ESM publishinglibrary-development
Monorepopnpm workspaces, centralized alias, Turborepomonorepo

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 Antfu AI skill do?

Anthony Fu's opinionated tooling and conventions for JavaScript/TypeScript projects. Use when setting up new projects, configuring ESLint/Prettier alternatives, monorepos, library publishing, or when the user mentions Anthony Fu's preferences.

Why use Antfu on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antfu/skills/tree/main/skills/antfu. 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 Antfu?

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 Antfu?

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

Is the Antfu 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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