
Tdd Mastery
- 2 installs
- 230 repo stars
- Updated January 24, 2026
- xenitv1/claude-code-maestro
Enforces test-driven development with a strict red-green-refactor cycle where no production code is written before a failing test exists.
About
A TDD skill enforcing the iron law of writing and watching a test fail before any production code. A developer uses it when implementing a feature or bugfix test-first.
- Iron law: no production code without a failing test first
- Red-Green-Refactor cycle with delete-and-restart enforcement
Tdd Mastery by the numbers
- 2 all-time installs (skills.sh)
- Ranked #1,693 of 2,153 Testing & QA skills by installs in the Skillselion catalog
- Data as of Jul 27, 2026 (Skillselion catalog sync)
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| Installs | 2 |
|---|---|
| repo stars | ★ 230 |
| Last updated | January 24, 2026 |
| Repository | xenitv1/claude-code-maestro ↗ |
What it does
Enforces test-driven development with a strict red-green-refactor cycle where no production code is written before a failing test exists.
Files
<domain_overview>
🧪 TDD MASTERY: THE IRON LAW
Philosophy: If you didn't watch the test fail, you don't know if it tests the right thing. TDD is not optional—it's the foundation of trustworthy code.
TEST-FIRST INTEGRITY MANDATE (CRITICAL): Never write production code before a test exists and has been seen failing. AI-generated code often attempts to write implementation and tests simultaneously or implementation first. You MUST strictly adhere to the Red-Green-Refactor cycle. Any code submitted without a preceding failing test or that generates tests after the implementation must be rejected as "Legacy Code on Arrival".
---
🚨 THE IRON LAW
NO PRODUCTION CODE WITHOUT A FAILING TEST FIRSTWrite code before the test? Delete it. Start over.
No exceptions:
- Don't keep it as "reference"
- Don't "adapt" it while writing tests
- Don't look at it
- Delete means delete
Implement fresh from tests. Period. </domain_overview> <core_workflow>
🔴 RED-GREEN-REFACTOR CYCLE
Phase 1: RED - Write Failing Test
Write one minimal test showing what should happen.
Good Example:
test('retries failed operations 3 times', async () => {
let attempts = 0;
const operation = () => {
attempts++;
if (attempts < 3) throw new Error('fail');
return 'success';
};
const result = await retryOperation(operation);
expect(result).toBe('success');
expect(attempts).toBe(3);
});Clear name, tests real behavior, one thing
Bad Example:
test('retry works', async () => {
const mock = jest.fn()
.mockRejectedValueOnce(new Error())
.mockResolvedValueOnce('success');
await retryOperation(mock);
expect(mock).toHaveBeenCalledTimes(2);
});Vague name, tests mock not code
Requirements:
- One behavior per test
- Clear, descriptive name
- Real code (mocks only if unavoidable)
Phase 2: VERIFY RED - Watch It Fail
MANDATORY. Never skip.
npm test path/to/test.test.ts
# or
pytest tests/path/test.py::test_name -vConfirm:
- Test fails (not errors)
- Failure message is expected
- Fails because feature missing (not typos)
Test passes? You're testing existing behavior. Fix test.
Test errors? Fix error, re-run until it fails correctly.
Phase 3: GREEN - Minimal Code
Write simplest code to pass the test.
Good:
async function retryOperation<T>(fn: () => Promise<T>): Promise<T> {
for (let i = 0; i < 3; i++) {
try {
return await fn();
} catch (e) {
if (i === 2) throw e;
}
}
throw new Error('unreachable');
}Just enough to pass
Bad:
async function retryOperation<T>(
fn: () => Promise<T>,
options?: {
maxRetries?: number;
backoff?: 'linear' | 'exponential';
onRetry?: (attempt: number) => void;
}
): Promise<T> {
// YAGNI - You Aren't Gonna Need It
}Over-engineered
Don't add features, refactor other code, or "improve" beyond the test.
Phase 4: VERIFY GREEN - Watch It Pass
MANDATORY.
npm test path/to/test.test.tsConfirm:
- Test passes
- Other tests still pass
- Output pristine (no errors, warnings)
Test fails? Fix code, not test.
Other tests fail? Fix now.
Phase 5: REFACTOR - Clean Up
After green only:
- Remove duplication
- Improve names
- Extract helpers
Keep tests green. Don't add behavior.
Phase 6: COMMIT
git add tests/path/test.ts src/path/file.ts
git commit -m "feat: add specific feature with tests"Repeat for next behavior.
--- </core_workflow>
<quality_standards>
📋 GOOD TEST QUALITIES
| Quality | Good | Bad |
|---|---|---|
| Minimal | One thing. "and" in name? Split it. | test('validates email and domain and whitespace') |
| Clear | Name describes behavior | test('test1') |
| Shows intent | Demonstrates desired API | Obscures what code should do |
| Real behavior | Tests actual code | Tests mock behavior |
---
🚫 COMMON RATIONALIZATIONS (ALL INVALID)
| Excuse | Reality |
|---|---|
| "Too simple to test" | Simple code breaks. Test takes 30 seconds. |
| "I'll test after" | Tests passing immediately prove nothing. |
| "Already manually tested" | Ad-hoc ≠ systematic. No record, can't re-run. |
| "Deleting X hours is wasteful" | Sunk cost fallacy. Keeping unverified code is debt. |
| "Keep as reference" | You'll adapt it. That's testing after. Delete means delete. |
| "Need to explore first" | Fine. Throw away exploration, start with TDD. |
| "Test hard = skip test" | Hard to test = hard to use. Simplify design. |
| "TDD will slow me down" | TDD faster than debugging. Pragmatic = test-first. |
| "Existing code has no tests" | You're improving it. Add tests for existing code. |
---
🚨 RED FLAGS - STOP AND START OVER
If you catch yourself:
- Writing code before test
- Test passes immediately
- Can't explain why test failed
- Tests added "later"
- "Just this once"
- "I already manually tested it"
- "Keep as reference"
- "TDD is dogmatic, I'm being pragmatic"
ALL of these mean: Delete code. Start over with TDD.
--- </quality_standards>
<bug_fix_protocol>
🐛 BUG FIX WORKFLOW
Bug found? Write failing test reproducing it. Follow TDD cycle.
Example:
Bug: Empty email accepted
RED:
test('rejects empty email', async () => {
const result = await submitForm({ email: '' });
expect(result.error).toBe('Email required');
});
VERIFY RED:
$ npm test
FAIL: expected 'Email required', got undefined
GREEN:
function submitForm(data: FormData) {
if (!data.email?.trim()) {
return { error: 'Email required' };
}
// ...
}
VERIFY GREEN:
$ npm test
PASSNever fix bugs without a test.
--- </bug_fix_protocol>
<integration_and_tooling>
🔗 RALPH WIGGUM INTEGRATION
When Ralph Wiggum is active:
1. Before ANY implementation: Write failing test first 2. Proactive Gate: Check edge cases BEFORE coding (use TDD to cover them) 3. Reflection Loop: After implementation, verify RED-GREEN was followed 4. Verification Matrix: Track test coverage for each feature
Ralph Wiggum will REJECT:
- Code without corresponding tests
- Tests that were written after code
- Tests that pass without implementation
---
✅ VERIFICATION CHECKLIST
Before marking work complete:
- [ ] Every new function/method has a test
- [ ] Watched each test fail before implementing
- [ ] Each test failed for expected reason (feature missing, not typo)
- [ ] Wrote minimal code to pass each test
- [ ] All tests pass
- [ ] Output pristine (no errors, warnings)
- [ ] Tests use real code (mocks only if unavoidable)
- [ ] Edge cases and errors covered
Can't check all boxes? You skipped TDD. Start over.
---
🛠️ TESTING INFRASTRUCTURE
Stack Detection & Tool Setup
Auto-detect project type and setup appropriate tools:
| Project Type | Required Tools |
|---|---|
| Frontend (Vite/React) | vitest + playwright |
| Fullstack (Next.js) | vitest + playwright |
| Backend (Node) | vitest or jest |
| Python | pytest + pytest-cov |
| Microservices | MSW (Mock Service Worker) |
Test Coverage Rules
For every new function/component, generate:
- 1 Happy Path - Expected successful behavior
- 2 Edge Cases - Boundary conditions, invalid inputs
- 1 Error Case - Expected failure handling
Contract-First (MSW)
Rule: Every frontend-backend interaction MUST have an MSW handler.
// Example MSW handler
import { http, HttpResponse } from 'msw'
export const handlers = [
http.get('/api/users/:id', ({ params }) => {
return HttpResponse.json({
id: params.id,
name: 'Test User'
})
})
]Benefit: Decouples frontend development from backend availability.
Ghost Inspector Protocol
AI must scan for "Untested Logic Slabs" (>20 lines without coverage) and flag them:
# Check coverage gaps
npm run test -- --coverage
# Look for files with <80% coverage--- </integration_and_tooling>
<reference_and_audit>
📖 RELATED SKILLS
- @testing-anti-patterns.md - Common mock/test mistakes to avoid
- @clean-code - Code quality standards
- @verification-mastery - Evidence before completion claims
- @debug-mastery - When tests reveal bugs
---
🏁 FINAL RULE
Production code → test exists and failed first
Otherwise → not TDDNo exceptions without explicit user permission. </reference_and_audit>
Testing Anti-Patterns
Load this reference when: writing or changing tests, adding mocks, or tempted to add test-only methods to production code.
Overview
Tests must verify real behavior, not mock behavior. Mocks are a means to isolate, not the thing being tested.
Core principle: Test what the code does, not what the mocks do.
Following strict TDD prevents these anti-patterns.
---
The Iron Laws
1. NEVER test mock behavior
2. NEVER add test-only methods to production classes
3. NEVER mock without understanding dependencies---
Anti-Pattern 1: Testing Mock Behavior
The violation:
// ❌ BAD: Testing that the mock exists
test('renders sidebar', () => {
render(<Page />);
expect(screen.getByTestId('sidebar-mock')).toBeInTheDocument();
});Why this is wrong:
- You're verifying the mock works, not that the component works
- Test passes when mock is present, fails when it's not
- Tells you nothing about real behavior
The fix:
// ✅ GOOD: Test real component or don't mock it
test('renders sidebar', () => {
render(<Page />); // Don't mock sidebar
expect(screen.getByRole('navigation')).toBeInTheDocument();
});
// OR if sidebar must be mocked for isolation:
// Don't assert on the mock - test Page's behavior with sidebar presentGate Function
BEFORE asserting on any mock element:
Ask: "Am I testing real component behavior or just mock existence?"
IF testing mock existence:
STOP - Delete the assertion or unmock the component
Test real behavior instead---
Anti-Pattern 2: Test-Only Methods in Production
The violation:
// ❌ BAD: destroy() only used in tests
class Session {
async destroy() { // Looks like production API!
await this._workspaceManager?.destroyWorkspace(this.id);
// ... cleanup
}
}
// In tests
afterEach(() => session.destroy());Why this is wrong:
- Production class polluted with test-only code
- Dangerous if accidentally called in production
- Violates YAGNI and separation of concerns
- Confuses object lifecycle with entity lifecycle
The fix:
// ✅ GOOD: Test utilities handle test cleanup
// Session has no destroy() - it's stateless in production
// In test-utils/
export async function cleanupSession(session: Session) {
const workspace = session.getWorkspaceInfo();
if (workspace) {
await workspaceManager.destroyWorkspace(workspace.id);
}
}
// In tests
afterEach(() => cleanupSession(session));Gate Function
BEFORE adding any method to production class:
Ask: "Is this only used by tests?"
IF yes:
STOP - Don't add it
Put it in test utilities instead
Ask: "Does this class own this resource's lifecycle?"
IF no:
STOP - Wrong class for this method---
Anti-Pattern 3: Mocking Without Understanding
The violation:
// ❌ BAD: Mock breaks test logic
test('detects duplicate server', () => {
// Mock prevents config write that test depends on!
vi.mock('ToolCatalog', () => ({
discoverAndCacheTools: vi.fn().mockResolvedValue(undefined)
}));
await addServer(config);
await addServer(config); // Should throw - but won't!
});Why this is wrong:
- Mocked method had side effect test depended on (writing config)
- Over-mocking to "be safe" breaks actual behavior
- Test passes for wrong reason or fails mysteriously
The fix:
// ✅ GOOD: Mock at correct level
test('detects duplicate server', () => {
// Mock the slow part, preserve behavior test needs
vi.mock('MCPServerManager'); // Just mock slow server startup
await addServer(config); // Config written
await addServer(config); // Duplicate detected ✓
});Gate Function
BEFORE mocking any method:
STOP - Don't mock yet
1. Ask: "What side effects does the real method have?"
2. Ask: "Does this test depend on any of those side effects?"
3. Ask: "Do I fully understand what this test needs?"
IF depends on side effects:
Mock at lower level (the actual slow/external operation)
OR use test doubles that preserve necessary behavior
NOT the high-level method the test depends on
IF unsure what test depends on:
Run test with real implementation FIRST
Observe what actually needs to happen
THEN add minimal mocking at the right level
Red flags:
- "I'll mock this to be safe"
- "This might be slow, better mock it"
- Mocking without understanding the dependency chain---
Anti-Pattern 4: Incomplete Mocks
The violation:
// ❌ BAD: Partial mock - only fields you think you need
const mockResponse = {
status: 'success',
data: { userId: '123', name: 'Alice' }
// Missing: metadata that downstream code uses
};
// Later: breaks when code accesses response.metadata.requestIdWhy this is wrong:
- Partial mocks hide structural assumptions - You only mocked fields you know about
- Downstream code may depend on fields you didn't include - Silent failures
- Tests pass but integration fails - Mock incomplete, real API complete
- False confidence - Test proves nothing about real behavior
The Iron Rule: Mock the COMPLETE data structure as it exists in reality, not just fields your immediate test uses.
The fix:
// ✅ GOOD: Mirror real API completeness
const mockResponse = {
status: 'success',
data: { userId: '123', name: 'Alice' },
metadata: { requestId: 'req-789', timestamp: 1234567890 }
// All fields real API returns
};Gate Function
BEFORE creating mock responses:
Check: "What fields does the real API response contain?"
Actions:
1. Examine actual API response from docs/examples
2. Include ALL fields system might consume downstream
3. Verify mock matches real response schema completely
Critical:
If you're creating a mock, you must understand the ENTIRE structure
Partial mocks fail silently when code depends on omitted fields
If uncertain: Include all documented fields---
Anti-Pattern 5: Integration Tests as Afterthought
The violation:
✅ Implementation complete
❌ No tests written
"Ready for testing"Why this is wrong:
- Testing is part of implementation, not optional follow-up
- TDD would have caught this
- Can't claim complete without tests
The fix:
TDD cycle:
1. Write failing test
2. Implement to pass
3. Refactor
4. THEN claim complete---
When Mocks Become Too Complex
Warning signs:
- Mock setup longer than test logic
- Mocking everything to make test pass
- Mocks missing methods real components have
- Test breaks when mock changes
Consider: Integration tests with real components often simpler than complex mocks
---
TDD Prevents These Anti-Patterns
Why TDD helps: 1. Write test first → Forces you to think about what you're actually testing 2. Watch it fail → Confirms test tests real behavior, not mocks 3. Minimal implementation → No test-only methods creep in 4. Real dependencies → You see what the test actually needs before mocking
If you're testing mock behavior, you violated TDD - you added mocks without watching test fail against real code first.
---
Quick Reference
| Anti-Pattern | Fix |
|---|---|
| Assert on mock elements | Test real component or unmock it |
| Test-only methods in production | Move to test utilities |
| Mock without understanding | Understand dependencies first, mock minimally |
| Incomplete mocks | Mirror real API completely |
| Tests as afterthought | TDD - tests first |
| Over-complex mocks | Consider integration tests |
---
Red Flags
- Assertion checks for
*-mocktest IDs - Methods only called in test files
- Mock setup is >50% of test
- Test fails when you remove mock
- Can't explain why mock is needed
- Mocking "just to be safe"
---
The Bottom Line
Mocks are tools to isolate, not things to test.
If TDD reveals you're testing mock behavior, you've gone wrong.
Fix: Test real behavior or question why you're mocking at all.