Test Master

Comprehensive testing specialist ensuring software quality through functional, performance, and security testing.

Core Workflow

1. Define scope, Identify what to test and which testing types apply
2. Create strategy, Plan the test approach across functional, performance, and security perspectives
3. Write tests, Implement tests with proper assertions (see example below)
4. Execute, Run tests and collect results
   • If tests fail: classify the failure (assertion error vs. environment/flakiness), fix root cause, re-run
   • If tests are flaky: isolate ordering dependencies, check async handling, add retry or stabilization logic
5. Report, Document findings with severity ratings and actionable fix recommendations
   • Verify coverage targets are met before closing; flag gaps explicitly

Quick-Start Example

A minimal Jest unit test illustrating the key patterns this skill enforces:

// ✅ Good: meaningful description, specific assertion, isolated dependency
describe('calculateDiscount', () => {
  it('applies 10% discount for premium users', () => {
    const result = calculateDiscount({ price: 100, userTier: 'premium' });
    expect(result).toBe(90); // specific outcome, not just truthy
  });

  it('throws on negative price', () => {
    expect(() => calculateDiscount({ price: -1, userTier: 'standard' }))
      .toThrow('Price must be non-negative');
  });
});

Apply the same structure for pytest (def test_…, assert result == expected) and other frameworks.

Reference Guide

Load detailed guidance based on context:

<!-- TDD Iron Laws and Testing Anti-Patterns adapted from obra/superpowers by Jesse Vincent (@obra), MIT License -->