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Jest Skill

Organization
LambdaTest
jest-skill

Generates Jest unit and integration tests in JavaScript or TypeScript. Covers mocking, snapshots, async testing, and React component testing. Use when user mentions "Jest", "describe/it/expect", "jest.mock", "toMatchSnapshot". Triggers on: "Jest", "expect().toBe()", "jest.mock", "snapshot test", "JS test", "React test".

Overview

PublisherLambdaTest
Repositoryagent-skills
Skill namejest-skill
Stars
377
Forks
74
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Jest Skill 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.
    https://github.com/LambdaTest/agent-skills/tree/main/jest-skill
  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/LambdaTest/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/jest-skill .claude/skills/jest-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jest Skill 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 Jest Skill 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 Jest Skill 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.

Jest Testing Skill

Core Patterns

Basic Test

javascript
describe('Calculator', () => {
  let calc;
  beforeEach(() => { calc = new Calculator(); });

  test('adds two numbers', () => {
    expect(calc.add(2, 3)).toBe(5);
  });

  test('throws on division by zero', () => {
    expect(() => calc.divide(10, 0)).toThrow('Division by zero');
  });
});

Matchers

javascript
expect(value).toBe(exact);                 // === strict
expect(value).toEqual(object);             // deep equality
expect(value).toBeTruthy();
expect(value).toBeNull();
expect(value).toBeGreaterThan(3);
expect(value).toBeCloseTo(0.3, 5);
expect(str).toMatch(/regex/);
expect(arr).toContain(item);
expect(arr).toHaveLength(3);
expect(obj).toHaveProperty('name');
expect(obj).toMatchObject({ name: 'Alice' });
expect(() => fn()).toThrow(CustomError);

Mocking

javascript
// Mock function
const mockFn = jest.fn();
mockFn.mockReturnValue(42);
mockFn.mockResolvedValue({ data: 'test' });
expect(mockFn).toHaveBeenCalledWith('arg1');
expect(mockFn).toHaveBeenCalledTimes(1);

// Mock module
jest.mock('./database');
const db = require('./database');
db.getUser.mockResolvedValue({ name: 'Alice' });

// Mock with implementation
jest.mock('./api', () => ({
  fetchUsers: jest.fn().mockResolvedValue([{ name: 'Alice' }]),
}));

// Spy
const spy = jest.spyOn(console, 'log').mockImplementation();
expect(spy).toHaveBeenCalledWith('expected');
spy.mockRestore();

// Fake timers
jest.useFakeTimers();
jest.advanceTimersByTime(1000);
jest.useRealTimers();

Async Testing

javascript
test('fetches users', async () => {
  const users = await fetchUsers();
  expect(users).toHaveLength(3);
});

test('resolves with data', () => {
  return expect(fetchData()).resolves.toEqual({ data: 'value' });
});

test('rejects with error', () => {
  return expect(fetchBadData()).rejects.toThrow('not found');
});

React Component Testing (Testing Library)

javascript
import { render, screen, fireEvent, waitFor } from '@testing-library/react';
import '@testing-library/jest-dom';
import LoginForm from './LoginForm';

test('submits login form', async () => {
  const onSubmit = jest.fn();
  render(<LoginForm onSubmit={onSubmit} />);

  fireEvent.change(screen.getByLabelText('Email'), {
    target: { value: 'user@test.com' },
  });
  fireEvent.change(screen.getByLabelText('Password'), {
    target: { value: 'password123' },
  });
  fireEvent.click(screen.getByRole('button', { name: /login/i }));

  await waitFor(() => {
    expect(onSubmit).toHaveBeenCalledWith({
      email: 'user@test.com', password: 'password123',
    });
  });
});

Snapshot Testing

javascript
test('renders correctly', () => {
  const tree = renderer.create(<Button label="Click" />).toJSON();
  expect(tree).toMatchSnapshot();
});
// Update: jest --updateSnapshot

Anti-Patterns

BadGoodWhy
expect(x === y).toBe(true)expect(x).toBe(y)Better errors
No await on asyncAlways awaitSwallows failures
Snapshot everythingSnapshot UI, assert logicSnapshot fatigue

Quick Reference

TaskCommand
Run allnpx jest
Watchnpx jest --watch
Coveragenpx jest --coverage
Update snapshotsnpx jest --updateSnapshot
Run filenpx jest tests/calc.test.js
Single testtest.only('name', () => {})

Deep Patterns

For production-grade patterns, see reference/playbook.md:

SectionWhat's Inside
§1 Production ConfigNode + React configs, path aliases, coverage thresholds
§2 Mocking Deep DiveModule/partial/manual mocks, spies, timers, env vars
§3 Async PatternsPromises, rejections, event emitters, streams
§4 test.eachArray, tagged template, describe.each for table-driven tests
§5 Custom MatcherstoBeWithinRange, toBeValidEmail, TypeScript declarations
§6 React Testing LibraryuserEvent, hooks, context providers
§7 Snapshot TestingComponent, inline, property matchers
§8 API Service TestingMocked axios, CRUD patterns, error handling
§9 Global SetupMulti-project config, DB setup/teardown
§10 CI/CDGitHub Actions with coverage gates
§11 Debugging Table10 common problems with fixes
§12 Best Practices15-item production checklist

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 Jest Skill AI skill do?

Generates Jest unit and integration tests in JavaScript or TypeScript. Covers mocking, snapshots, async testing, and React component testing. Use when user mentions "Jest", "describe/it/expect", "jest.mock", "toMatchSnapshot". Triggers on: "Jest", "expect().toBe()", "jest.mock", "snapshot test", "JS test", "React test".

Why use Jest Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LambdaTest/agent-skills/tree/main/jest-skill. 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 Jest Skill?

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 Jest Skill?

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

Is the Jest Skill AI skill free?

Yes. It is published on GitHub by LambdaTest 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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