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Vitest

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jezweb
vitest

Set up Vitest testing in any project — detects type (Cloudflare Workers, React, Node, library), generates vitest.config.ts, test setup, utilities, and a sample test. Covers mocking patterns, coverage config, workspace setup, Jest migration. Use whenever the user mentions adding tests, setting up Vitest, configuring tests, migrating from Jest, fixing testing infrastructure, or asks 'how do I test this'.

Overview

Publisherjezweb
Repositoryclaude-skills
Skill namevitest
Stars
1K
Forks
102
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 jezweb on GitHub. Read the source before you install it.

Installation

Install the Vitest 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/jezweb/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/dev-tools/skills/vitest .claude/skills/vitest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vitest 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 Vitest 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 Vitest 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.

Vitest Setup

Detect the project type, generate the right Vitest configuration, and produce working test infrastructure. Not a reference card — this skill creates files.

Workflow

  1. Detect — scan the project to determine type and existing setup
  2. Configure — generate vitest.config.ts tailored to the environment
  3. Scaffold — create test setup, utilities, and a sample test
  4. Wire up — add package.json scripts and TypeScript config

Step 1: Detect Project Type

Read these files to determine the project:

package.json          → dependencies, scripts, type field
tsconfig.json         → paths, compiler options
wrangler.toml         → Cloudflare Workers project
vite.config.ts        → existing Vite setup (extend, don't replace)
vitest.config.ts      → already configured? just fill gaps
jest.config.*         → migration candidate
src/                  → source structure

Classify as one of:

TypeSignalsEnvironment
Cloudflare Workerswrangler.toml, @cloudflare/workers-types, cloudflare vite pluginnode with Workers-specific setup
React (Vite)@vitejs/plugin-react, react-domjsdom or happy-dom
React (SSR/TanStack Start)@tanstack/start, vinxiSplit: node for server, jsdom for client
Node/Hono APIhono, express, no react-domnode
Libraryexports field, no framework depsnode

If a vite.config.ts already exists, extend it rather than creating a separate vitest.config.ts — Vitest reads Vite config natively.

Step 2: Install Dependencies

Generate the install command based on detected type:

bash
# Base (always)
pnpm add -D vitest

# React projects — add jsdom and Testing Library
pnpm add -D @vitest/coverage-v8 jsdom @testing-library/react @testing-library/jest-dom @testing-library/user-event

# Workers projects — add Cloudflare test utilities
pnpm add -D @vitest/coverage-v8 @cloudflare/vitest-pool-workers

# Node/Hono projects
pnpm add -D @vitest/coverage-v8

# If migrating from Jest, also remove:
pnpm remove jest ts-jest @types/jest jest-environment-jsdom babel-jest

Use the project's package manager (check for pnpm-lock.yaml, yarn.lock, bun.lockb, or package-lock.json).

Step 3: Generate vitest.config.ts

Cloudflare Workers

typescript
import { defineWorkersConfig } from "@cloudflare/vitest-pool-workers/config";

export default defineWorkersConfig({
  test: {
    globals: true,
    poolOptions: {
      workers: {
        wrangler: { configPath: "./wrangler.toml" },
      },
    },
  },
});

If the project uses the Cloudflare Vite plugin (@cloudflare/vite-plugin), integrate into the existing vite.config.ts instead:

typescript
/// <reference types="vitest/config" />
import { defineConfig } from "vite";
import { cloudflare } from "@cloudflare/vite-plugin";

export default defineConfig({
  plugins: [cloudflare()],
  test: {
    globals: true,
  },
});

React (Vite)

typescript
/// <reference types="vitest/config" />
import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";

export default defineConfig({
  plugins: [react()],
  test: {
    globals: true,
    environment: "jsdom",
    setupFiles: ["./src/test/setup.ts"],
    css: true,
  },
});

If a vite.config.ts already exists, add the test block to it rather than creating a new file.

Node / Hono API

typescript
import { defineConfig } from "vitest/config";

export default defineConfig({
  test: {
    globals: true,
    environment: "node",
  },
});

With Coverage (add to any config)

typescript
  test: {
    // ... existing config
    coverage: {
      provider: "v8",
      reporter: ["text", "html", "lcov"],
      exclude: [
        "node_modules/",
        "**/*.config.*",
        "**/*.d.ts",
        "**/test/**",
      ],
    },
  },

Step 4: Generate Test Setup File

Create src/test/setup.ts (React projects only):

typescript
import "@testing-library/jest-dom/vitest";

That single import adds all the custom matchers (toBeInTheDocument, toHaveTextContent, etc.) and registers the Vitest expect.extend automatically.

Step 5: Add TypeScript Config

Add to tsconfig.json compilerOptions:

json
{
  "compilerOptions": {
    "types": ["vitest/globals"]
  }
}

For projects with multiple tsconfig files (e.g. tsconfig.app.json + tsconfig.node.json), add to the one that covers test files — usually the root tsconfig.json or create a tsconfig.test.json that extends it.

Step 6: Add Package.json Scripts

json
{
  "scripts": {
    "test": "vitest",
    "test:run": "vitest run",
    "test:coverage": "vitest run --coverage",
    "test:ui": "vitest --ui"
  }
}

Don't overwrite existing scripts — merge with what's there.

Step 7: Generate Sample Test

Write one test file that demonstrates the right patterns for this specific project. Place it next to real source code, not in a separate __tests__ directory.

For a Hono API route (e.g. src/routes/health.ts):

typescript
import { describe, it, expect } from "vitest";
import { app } from "../index";

describe("GET /health", () => {
  it("returns 200 with status ok", async () => {
    const res = await app.request("/health");
    expect(res.status).toBe(200);

    const body = await res.json();
    expect(body).toEqual({ status: "ok" });
  });
});

For a React component (e.g. src/components/Button.tsx):

typescript
import { describe, it, expect } from "vitest";
import { render, screen } from "@testing-library/react";
import userEvent from "@testing-library/user-event";
import { Button } from "./Button";

describe("Button", () => {
  it("renders with label", () => {
    render(<Button>Click me</Button>);
    expect(screen.getByRole("button", { name: /click me/i })).toBeInTheDocument();
  });

  it("calls onClick when clicked", async () => {
    const user = userEvent.setup();
    const handleClick = vi.fn();
    render(<Button onClick={handleClick}>Click me</Button>);

    await user.click(screen.getByRole("button"));
    expect(handleClick).toHaveBeenCalledOnce();
  });
});

For a utility function (e.g. src/utils/format.ts):

typescript
import { describe, it, expect } from "vitest";
import { formatCurrency } from "./format";

describe("formatCurrency", () => {
  it("formats whole numbers", () => {
    expect(formatCurrency(1000)).toBe("$1,000.00");
  });

  it("formats decimals", () => {
    expect(formatCurrency(49.9)).toBe("$49.90");
  });

  it("handles zero", () => {
    expect(formatCurrency(0)).toBe("$0.00");
  });
});

Pick a real file from the project to test. Don't invent a fake module — the sample test should run immediately after setup.

Step 8: Verify

Run the tests to confirm everything works:

bash
pnpm test:run

If it fails, diagnose and fix. Common issues:

ErrorFix
Cannot find module 'vitest'Check install completed, check node_modules/.vitest exists
ReferenceError: describe is not definedAdd globals: true to config, or add types: ["vitest/globals"] to tsconfig
document is not definedWrong environment — set environment: "jsdom" for React tests
Cannot use import.metaEnsure vitest.config uses .ts extension and project has "type": "module" or Vite handles transforms
Workers bindings undefinedUse @cloudflare/vitest-pool-workers instead of plain vitest, check wrangler.toml path

Mocking Reference

These patterns are for writing tests after setup is complete. Include them in the sample test or a src/test/examples.test.ts if the user asks for mocking examples.

Module mocking (vi.mock)

typescript
import { vi, describe, it, expect } from "vitest";
import { getUser } from "./api";

vi.mock("./api", () => ({
  getUser: vi.fn(),
}));

it("mocks a module function", async () => {
  vi.mocked(getUser).mockResolvedValue({ id: 1, name: "Test" });
  const user = await getUser(1);
  expect(user.name).toBe("Test");
  expect(getUser).toHaveBeenCalledWith(1);
});

Spy on methods (vi.spyOn)

typescript
it("spies on console.warn", () => {
  const spy = vi.spyOn(console, "warn").mockImplementation(() => {});
  doSomethingThatWarns();
  expect(spy).toHaveBeenCalledOnce();
  spy.mockRestore();
});

Fake timers

typescript
import { vi, beforeEach, afterEach, it, expect } from "vitest";

beforeEach(() => {
  vi.useFakeTimers();
  vi.setSystemTime(new Date("2026-01-15T10:00:00Z"));
});

afterEach(() => {
  vi.useRealTimers();
});

it("uses controlled time", () => {
  expect(new Date().toISOString()).toBe("2026-01-15T10:00:00.000Z");
});

Global stubs

typescript
it("stubs fetch", async () => {
  const mockFetch = vi.fn().mockResolvedValue({
    ok: true,
    json: () => Promise.resolve({ data: "test" }),
  });
  vi.stubGlobal("fetch", mockFetch);

  const res = await fetch("/api/data");
  expect(mockFetch).toHaveBeenCalledWith("/api/data");

  vi.unstubAllGlobals();
});

Snapshot testing

typescript
it("matches snapshot", () => {
  const result = generateConfig({ debug: true });
  expect(result).toMatchSnapshot();
});

it("matches inline snapshot", () => {
  expect({ status: "ok", count: 3 }).toMatchInlineSnapshot(`
    {
      "count": 3,
      "status": "ok",
    }
  `);
});

Parameterized tests

typescript
describe.each([
  { input: "hello", expected: "HELLO" },
  { input: "world", expected: "WORLD" },
  { input: "", expected: "" },
])("toUpperCase($input)", ({ input, expected }) => {
  it(`returns ${expected}`, () => {
    expect(input.toUpperCase()).toBe(expected);
  });
});

Jest Migration

When the detected project has Jest (jest.config.*, @types/jest, ts-jest in dependencies):

  1. Generate the vitest.config.ts using the steps above
  2. Update imports in existing test files:
typescript
// Before
import { jest } from "@jest/globals";
jest.mock("./api");
jest.fn();
jest.spyOn(obj, "method");

// After
import { vi } from "vitest";
vi.mock("./api");
vi.fn();
vi.spyOn(obj, "method");
  1. Remove Jest packages:
bash
pnpm remove jest ts-jest @types/jest jest-environment-jsdom babel-jest @jest/globals
  1. Update tsconfig — replace "types": ["jest"] with "types": ["vitest/globals"]

  2. Run tests and fix any remaining issues

Key replacements:

JestVitest
jest.fn()vi.fn()
jest.mock()vi.mock()
jest.spyOn()vi.spyOn()
jest.useFakeTimers()vi.useFakeTimers()
jest.clearAllMocks()vi.clearAllMocks()
jest.requireActual()vi.importActual()
@jest/globalsvitest
jest.config.jsvitest.config.ts

Workspace Setup (Monorepos)

For monorepo projects with multiple packages:

typescript
// vitest.workspace.ts
import { defineWorkspace } from "vitest/config";

export default defineWorkspace([
  "packages/*/vitest.config.ts",
]);

Each package gets its own config. The workspace file just points to them.


What This Skill Produces

After running, the project should have:

  • vitest.config.ts (or test block added to existing vite.config.ts)
  • src/test/setup.ts (React projects)
  • Updated tsconfig.json with vitest/globals type
  • Updated package.json with test scripts
  • At least one passing sample test against real source code
  • Dependencies installed

The tests should pass on first run. If they don't, fix them before finishing.

Frequently asked questions

What does the Vitest AI skill do?

Set up Vitest testing in any project — detects type (Cloudflare Workers, React, Node, library), generates vitest.config.ts, test setup, utilities, and a sample test. Covers mocking patterns, coverage config, workspace setup, Jest migration. Use whenever the user mentions adding tests, setting up Vitest, configuring tests, migrating from Jest, fixing testing infrastructure, or asks 'how do I test this'.

Why use Vitest on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jezweb/claude-skills/tree/main/plugins/dev-tools/skills/vitest. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vitest?

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 Vitest?

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

Is the Vitest AI skill free?

Yes. It is published on GitHub by jezweb 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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