Designing Tests logo

Designing Tests

CommunityPopular
CloudAI-X
designing-tests

Designs and implements testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, debugging test failures, or when asked about unit tests, integration tests, or E2E testing.

Overview

PublisherCloudAI-X
Repositoryclaude-workflow-v2
Skill namedesigning-tests
Stars
1.4K
Forks
188
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 CloudAI-X on GitHub. Read the source before you install it.

Installation

Install the Designing Tests 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/CloudAI-X/claude-workflow-v2.git /tmp/claude-workflow-v2
mkdir -p .claude/skills
cp -r /tmp/claude-workflow-v2/skills/designing-tests .claude/skills/designing-tests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Designing Tests 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 Designing Tests 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 Designing Tests 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.

Designing Tests

When to Load

  • Trigger: Adding tests, test strategy planning, improving coverage, setting up testing infrastructure
  • Skip: Non-test code changes where testing is not part of the task

Test Implementation Workflow

Copy this checklist and track progress:

Test Implementation Progress:
- [ ] Step 1: Identify what to test
- [ ] Step 2: Select appropriate test type
- [ ] Step 3: Write tests following templates
- [ ] Step 4: Run tests and verify passing
- [ ] Step 5: Check coverage meets targets
- [ ] Step 6: Fix any failing tests

Testing Pyramid

Apply the testing pyramid for balanced coverage:

        /\
       /  \     E2E Tests (10%)
      /----\    - Critical user journeys
     /      \   - Slow but comprehensive
    /--------\  Integration Tests (20%)
   /          \ - Component interactions
  /------------\ - API contracts
 /              \ Unit Tests (70%)
/________________\ - Fast, isolated
                   - Business logic focus

Framework Selection

JavaScript/TypeScript

TypeRecommendedAlternative
UnitVitestJest
IntegrationVitest + MSWJest + SuperTest
E2EPlaywrightCypress
ComponentTesting LibraryEnzyme

Python

TypeRecommendedAlternative
Unitpytestunittest
Integrationpytest + httpxpytest + requests
E2EPlaywrightSelenium
APIpytest + FastAPI TestClient-

Go

TypeRecommended
Unittesting + testify
Integrationtesting + httptest
E2Etesting + chromedp

Test Structure Templates

Unit Test

javascript
describe("[Unit] ComponentName", () => {
  describe("methodName", () => {
    it("should [expected behavior] when [condition]", () => {
      // Arrange
      const input = createTestInput();

      // Act
      const result = methodName(input);

      // Assert
      expect(result).toEqual(expectedOutput);
    });

    it("should throw error when [invalid condition]", () => {
      expect(() => methodName(invalidInput)).toThrow(ExpectedError);
    });
  });
});

Integration Test

javascript
describe("[Integration] API /users", () => {
  beforeAll(async () => {
    await setupTestDatabase();
  });

  afterAll(async () => {
    await teardownTestDatabase();
  });

  it("should create user and return 201", async () => {
    const response = await request(app)
      .post("/users")
      .send({ name: "Test", email: "test@example.com" });

    expect(response.status).toBe(201);
    expect(response.body.id).toBeDefined();
  });
});

E2E Test

javascript
describe("[E2E] User Registration Flow", () => {
  it("should complete registration successfully", async ({ page }) => {
    await page.goto("/register");

    await page.fill('[data-testid="email"]', "new@example.com");
    await page.fill('[data-testid="password"]', "SecurePass123!");
    await page.click('[data-testid="submit"]');

    await expect(page.locator(".welcome-message")).toBeVisible();
    await expect(page).toHaveURL("/dashboard");
  });
});

Coverage Strategy

What to Cover

  • ✅ Business logic (100%)
  • ✅ Edge cases and error handling (90%+)
  • ✅ API contracts (100%)
  • ✅ Critical user paths (E2E)
  • ⚠️ UI components (snapshot + interaction)
  • ❌ Third-party library internals
  • ❌ Simple getters/setters

Coverage Thresholds

json
{
  "coverageThreshold": {
    "global": {
      "branches": 80,
      "functions": 80,
      "lines": 80,
      "statements": 80
    },
    "src/core/": {
      "branches": 95,
      "functions": 95
    }
  }
}

Test Data Management

Factories/Builders

javascript
// factories/user.js
export const userFactory = (overrides = {}) => ({
  id: faker.string.uuid(),
  name: faker.person.fullName(),
  email: faker.internet.email(),
  createdAt: new Date(),
  ...overrides,
});

// Usage
const admin = userFactory({ role: "admin" });

Fixtures

javascript
// fixtures/users.json
{
  "validUser": { "name": "Test", "email": "test@example.com" },
  "invalidUser": { "name": "", "email": "invalid" }
}

Mocking Strategy

When to Mock

  • ✅ External APIs and services
  • ✅ Database in unit tests
  • ✅ Time/Date for determinism
  • ✅ Random values
  • ❌ Internal modules (usually)
  • ❌ The code under test

Mock Examples

javascript
// API mocking with MSW
import { http, HttpResponse } from "msw";

export const handlers = [
  http.get("/api/users", () => {
    return HttpResponse.json([{ id: 1, name: "John" }]);
  }),
];

// Time mocking
vi.useFakeTimers();
vi.setSystemTime(new Date("2024-01-01"));

Test Validation Loop

After writing tests, run this validation:

Test Validation:
- [ ] All tests pass: `npm test`
- [ ] Coverage meets thresholds: `npm test -- --coverage`
- [ ] No flaky tests (run multiple times)
- [ ] Tests are independent (order doesn't matter)
- [ ] Test names clearly describe behavior

If any tests fail, fix them before proceeding. If coverage is below target, add more tests for uncovered code paths.

bash
# Run tests
npm test

# Run with coverage
npm test -- --coverage

# Run specific test file
npm test -- path/to/test.spec.ts

# Run in watch mode during development
npm test -- --watch

Frequently asked questions

What does the Designing Tests AI skill do?

Designs and implements testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, debugging test failures, or when asked about unit tests, integration tests, or E2E testing.

Why use Designing Tests on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CloudAI-X/claude-workflow-v2/tree/main/skills/designing-tests. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Designing Tests?

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 Designing Tests?

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

Is the Designing Tests AI skill free?

Yes. It is published on GitHub by CloudAI-X 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇