npx skills add https://github.com/obra/superpowers --skill test-driven-developmentHow Test Driven Development fits into a Paperclip company.
Test Driven Development drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.
Pre-configured AI company — 18 agents, 18 skills, one-time purchase.
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---name: test-driven-developmentdescription: Use when implementing any feature or bugfix, before writing implementation code--- # Test-Driven Development (TDD) ## Overview Write the test first. Watch it fail. Write minimal code to pass. **Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing. **Violating the letter of the rules is violating the spirit of the rules.** ## When to Use **Always:**- New features- Bug fixes- Refactoring- Behavior changes **Exceptions (ask your human partner):**- Throwaway prototypes- Generated code- Configuration files Thinking "skip TDD just this once"? Stop. That's rationalization. ## The Iron Law ```NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST``` Write 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. ## Red-Green-Refactor ```dotdigraph tdd_cycle { rankdir=LR; red [label="RED\nWrite failing test", shape=box, style=filled, fillcolor="#ffcccc"]; verify_red [label="Verify fails\ncorrectly", shape=diamond]; green [label="GREEN\nMinimal code", shape=box, style=filled, fillcolor="#ccffcc"]; verify_green [label="Verify passes\nAll green", shape=diamond]; refactor [label="REFACTOR\nClean up", shape=box, style=filled, fillcolor="#ccccff"]; next [label="Next", shape=ellipse]; red -> verify_red; verify_red -> green [label="yes"]; verify_red -> red [label="wrong\nfailure"]; green -> verify_green; verify_green -> refactor [label="yes"]; verify_green -> green [label="no"]; refactor -> verify_green [label="stay\ngreen"]; verify_green -> next; next -> red;}``` ### RED - Write Failing Test Write one minimal test showing what should happen. <Good>```typescripttest('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</Good> <Bad>```typescripttest('retry works', async () => { const mock = jest.fn() .mockRejectedValueOnce(new Error()) .mockRejectedValueOnce(new Error()) .mockResolvedValueOnce('success'); await retryOperation(mock); expect(mock).toHaveBeenCalledTimes(3);});```Vague name, tests mock not code</Bad> **Requirements:**- One behavior- Clear name- Real code (no mocks unless unavoidable) ### Verify RED - Watch It Fail **MANDATORY. Never skip.** ```bashnpm test path/to/test.test.ts``` Confirm:- 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. ### GREEN - Minimal Code Write simplest code to pass the test. <Good>```typescriptasync 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</Good> <Bad>```typescriptasync function retryOperation<T>( fn: () => Promise<T>, options?: { maxRetries?: number; backoff?: 'linear' | 'exponential'; onRetry?: (attempt: number) => void; }): Promise<T> { // YAGNI}```Over-engineered</Bad> Don't add features, refactor other code, or "improve" beyond the test. ### Verify GREEN - Watch It Pass **MANDATORY.** ```bashnpm test path/to/test.test.ts``` Confirm:- Test passes- Other tests still pass- Output pristine (no errors, warnings) **Test fails?** Fix code, not test. **Other tests fail?** Fix now. ### REFACTOR - Clean Up After green only:- Remove duplication- Improve names- Extract helpers Keep tests green. Don't add behavior. ### Repeat Next failing test for next feature. ## Good Tests | 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 | ## Why Order Matters **"I'll write tests after to verify it works"** Tests written after code pass immediately. Passing immediately proves nothing:- Might test wrong thing- Might test implementation, not behavior- Might miss edge cases you forgot- You never saw it catch the bug Test-first forces you to see the test fail, proving it actually tests something. **"I already manually tested all the edge cases"** Manual testing is ad-hoc. You think you tested everything but:- No record of what you tested- Can't re-run when code changes- Easy to forget cases under pressure- "It worked when I tried it" ≠ comprehensive Automated tests are systematic. They run the same way every time. **"Deleting X hours of work is wasteful"** Sunk cost fallacy. The time is already gone. Your choice now:- Delete and rewrite with TDD (X more hours, high confidence)- Keep it and add tests after (30 min, low confidence, likely bugs) The "waste" is keeping code you can't trust. Working code without real tests is technical debt. **"TDD is dogmatic, being pragmatic means adapting"** TDD IS pragmatic:- Finds bugs before commit (faster than debugging after)- Prevents regressions (tests catch breaks immediately)- Documents behavior (tests show how to use code)- Enables refactoring (change freely, tests catch breaks) "Pragmatic" shortcuts = debugging in production = slower. **"Tests after achieve the same goals - it's spirit not ritual"** No. Tests-after answer "What does this do?" Tests-first answer "What should this do?" Tests-after are biased by your implementation. You test what you built, not what's required. You verify remembered edge cases, not discovered ones. Tests-first force edge case discovery before implementing. Tests-after verify you remembered everything (you didn't). 30 minutes of tests after ≠ TDD. You get coverage, lose proof tests work. ## Common Rationalizations | Excuse | Reality ||--------|---------|| "Too simple to test" | Simple code breaks. Test takes 30 seconds. || "I'll test after" | Tests passing immediately prove nothing. || "Tests after achieve same goals" | Tests-after = "what does this do?" Tests-first = "what should this do?" || "Already manually tested" | Ad-hoc ≠ systematic. No record, can't re-run. || "Deleting X hours is wasteful" | Sunk cost fallacy. Keeping unverified code is technical debt. || "Keep as reference, write tests first" | You'll adapt it. That's testing after. Delete means delete. || "Need to explore first" | Fine. Throw away exploration, start with TDD. || "Test hard = design unclear" | Listen to test. Hard to test = hard to use. || "TDD will slow me down" | TDD faster than debugging. Pragmatic = test-first. || "Manual test faster" | Manual doesn't prove edge cases. You'll re-test every change. || "Existing code has no tests" | You're improving it. Add tests for existing code. | ## Red Flags - STOP and Start Over - Code before test- Test after implementation- Test passes immediately- Can't explain why test failed- Tests added "later"- Rationalizing "just this once"- "I already manually tested it"- "Tests after achieve the same purpose"- "It's about spirit not ritual"- "Keep as reference" or "adapt existing code"- "Already spent X hours, deleting is wasteful"- "TDD is dogmatic, I'm being pragmatic"- "This is different because..." **All of these mean: Delete code. Start over with TDD.** ## Example: Bug Fix **Bug:** Empty email accepted **RED**```typescripttest('rejects empty email', async () => { const result = await submitForm({ email: '' }); expect(result.error).toBe('Email required');});``` **Verify RED**```bash$ npm testFAIL: expected 'Email required', got undefined``` **GREEN**```typescriptfunction submitForm(data: FormData) { if (!data.email?.trim()) { return { error: 'Email required' }; } // ...}``` **Verify GREEN**```bash$ npm testPASS``` **REFACTOR**Extract validation for multiple fields if needed. ## 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. ## When Stuck | Problem | Solution ||---------|----------|| Don't know how to test | Write wished-for API. Write assertion first. Ask your human partner. || Test too complicated | Design too complicated. Simplify interface. || Must mock everything | Code too coupled. Use dependency injection. || Test setup huge | Extract helpers. Still complex? Simplify design. | ## Debugging Integration Bug found? Write failing test reproducing it. Follow TDD cycle. Test proves fix and prevents regression. Never fix bugs without a test. ## Testing Anti-Patterns When adding mocks or test utilities, read @testing-anti-patterns.md to avoid common pitfalls:- Testing mock behavior instead of real behavior- Adding test-only methods to production classes- Mocking without understanding dependencies ## Final Rule ```Production code → test exists and failed firstOtherwise → not TDD``` No exceptions without your human partner's permission.Brainstorming
Forces Claude to actually think before coding, which frankly should be the default but isn't. Blocks all implementation until you've walked through context expl
Dispatching Parallel Agents
When you've got multiple independent failures across different test files or subsystems, this cuts debugging time by running separate agents in parallel instead
Executing Plans
Takes a written implementation plan and executes it step by step with proper checkpoints. Loads the plan file, reviews it critically for gaps or unclear instruc