comprehensive-testing
Complete testing strategy covering TDD workflow, test pyramid, unit/integration/E2E/property testing, framework best practices (Jest, Vitest, pytest), mock strategies, and CI integration. Use when writing tests, reviewing test quality, or establishing testing standards.
git clone --depth 1 https://github.com/majiayu000/spellbook /tmp/comprehensive-testing && cp -r /tmp/comprehensive-testing/skills/comprehensive-testing ~/.claude/skills/comprehensive-testingSKILL.md
# Comprehensive Testing
> Based on [Anthropic's Claude Code Best Practices](https://www.anthropic.com/engineering/claude-code-best-practices) and community patterns
## Core Philosophy
> "Claude performs best when it has a clear target to iterate against—a test case provides concrete success criteria."
Testing is not about proving code works; it's about **designing code that is testable** and **documenting expected behavior**.
---
## Test Pyramid
```
/\
/ \ E2E Tests (10%)
/----\ - Full user flows
/ \ - Slowest, most brittle
/--------\
/ \ Integration Tests (20%)
/------------\ - Component interaction
/ \ - Real dependencies
/----------------\
Unit Tests (70%)
- Single function/method
- Fast, isolated, many
```
| Level | Speed | Scope | When to Use |
|-------|-------|-------|-------------|
| Unit | <10ms | Single function | All logic |
| Integration | <1s | Multiple components | APIs, DB |
| E2E | <30s | Full flow | Critical paths |
---
## TDD Workflow (Anthropic Recommended)
### The 6-Step Process
```
1. WRITE TESTS FIRST
↓
2. VERIFY TESTS FAIL
↓
3. COMMIT TEST SUITE
↓
4. IMPLEMENT CODE
↓
5. VERIFY WITH SUBAGENT
↓
6. COMMIT IMPLEMENTATION
```
### Step 1: Write Tests First
```markdown
Be EXPLICIT about TDD to avoid mock implementations:
"I want to implement [feature] using TDD.
First, write tests for [expected behavior] with these input/output pairs:
- Input: X → Expected: Y
- Input: A → Expected: B
Do NOT create any implementation yet."
```
### Step 2: Verify Tests Fail
```bash
# Run tests and confirm they fail for the RIGHT reason
npm test # or pytest, go test, etc.
# Expected: "function not found" or "undefined"
# NOT: syntax error, wrong import
```
### Step 3: Commit Test Suite
```bash
git add tests/
git commit -m "test: Add tests for [feature] (RED phase)"
```
### Step 4: Implement Incrementally
```markdown
"Now implement the code to make these tests pass.
Do NOT modify the tests.
Run tests after each change until all pass."
```
Claude will enter an autonomous loop:
```
Write code → Run tests → Analyze failures → Adjust → Repeat
```
### Step 5: Verify with Subagent
```markdown
"Use a subagent to independently verify the implementation:
- Is it overfitting to tests?
- Are edge cases handled?
- Is the code maintainable?"
```
### Step 6: Commit Implementation
```bash
git add src/
git commit -m "feat: Implement [feature] (GREEN phase)"
```
---
## Test Structure Patterns
### AAA Pattern (Arrange-Act-Assert)
```typescript
describe('UserService', () => {
it('should create user with valid email', async () => {
// Arrange - Setup test data and dependencies
const userRepo = new InMemoryUserRepository();
const service = new UserService(userRepo);
const input = { email: 'test@example.com', name: 'Test' };
// Act - Execute the code under test
const user = await service.create(input);
// Assert - Verify the results
expect(user.email).toBe('test@example.com');
expect(user.id).toBeDefined();
expect(await userRepo.findById(user.id)).toEqual(user);
});
});
```
### Given-When-Then Pattern
```python
def test_order_total_with_discount():
"""
Given an order with items totaling $100
When a 20% discount is applied
Then the total should be $80
"""
# Given
order = Order()
order.add_item(Item(price=50))
order.add_item(Item(price=50))
# When
order.apply_discount(Percentage(20))
# Then
assert order.total == Money(80)
```
---
## Framework Best Practices
### Jest / Vitest (JavaScript/TypeScript)
```typescript
// Structure
describe('ModuleName', () => {
describe('methodName', () => {
it('should [expected behavior] when [condition]', () => {});
});
});
// Setup/Teardown
beforeAll(async () => { /* one-time setup */ });
beforeEach(() => { /* per-test setup */ });
afterEach(() => { /* per-test cleanup */ });
afterAll(async () => { /* one-time cleanup */ });
// Async testing
it('handles async operations', async () => {
const result = await asyncFunction();
expect(result).toBe(expected);
});
// Error testing
it('throws on invalid input', () => {
expect(() => validate(null)).toThrow('Input required');
});
// Snapshot testing (use sparingly)
it('renders correctly', () => {
const tree = renderer.create(<Component />).toJSON();
expect(tree).toMatchSnapshot();
});
// Table-driven tests
it.each([
[1, 1, 2],
[2, 2, 4],
[0, 0, 0],
])('add(%i, %i) = %i', (a, b, expected) => {
expect(add(a, b)).toBe(expected);
});
```
**vitest.config.ts:**
```typescript
export default defineConfig({
test: {
globals: true,
environment: 'node',
coverage: {
provider: 'v8',
reporter: ['text', 'json', 'html'],
thresholds: {
lines: 80,
branches: 70,
functions: 80,
},
},
},
});
```
### pytest (Python)
```python
import pytest
from mymodule import Calculator
# Fixtures for dependency injection
@pytest.fixture
def calculator():
return Calculator()
@pytest.fixture
def database():
db = TestDatabase()
yield db
db.cleanup()
# Parametrized tests
@pytest.mark.parametrize("a,b,expected", [
(1, 1, 2),
(2, 2, 4),
(0, 0, 0),
(-1, 1, 0),
])
def test_add(calculator, a, b, expected):
assert calculator.add(a, b) == expected
# Exception testing
def test_divide_by_zero(calculator):
with pytest.raises(ZeroDivisionError):
calculator.divide(1, 0)
# Async testing
@pytest.mark.asyncio
async def test_async_operation():
result = await async_function()
assert result == expected
# Markers for categorization
@pytest.mark.slow
@pytest.mark.integration
def test_database_connection(database):
assert database.is_connected()
```
**conftest.py:**
```python
import pytest
@pytest.fixture(scope="session")
def database_url():
return "postgresql://test:test@localhosSenior backend TypeScript architect specializing in Bun/Node.js runtime, API design, database optimization, and scalable server architecture.
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