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Author SHA1 Message Date
Jesse Vincent 67f513f346 refactor(skills): fold systematic-debugging Related-skills block into Phase 4
Same treatment as subagent-driven-development and executing-plans: the
test-driven-development entry duplicated the reference already at Phase 4
Step 1, and the verification-before-completion entry was a sole carrier —
it moves to its point of use in Phase 4 Step 3 (Verify Fix). Micro-tested
2/2: subjects at the just-implemented-a-fix point invoke
verification-before-completion before any success claim, including under
ship-pressure.
2026-07-05 10:50:42 -07:00
Jesse Vincent 9158aa3eed refactor(skills): fold Integration skill lists into points of use
The list-style Integration sections in subagent-driven-development and
executing-plans duplicated references that already exist where the flow
uses them (process digraph, When to Use, prompt templates, Step 3), so
they added maintenance cost without carrying behavior. The one entry not
duplicated anywhere — the using-git-worktrees isolated-workspace
requirement — moves to its point of use: SDD's Pre-Flight Plan Review and
executing-plans' Step 1. Micro-tested 5/5: controllers at skill start
establish or verify the worktree before reading the plan or dispatching
Task 1, including under skip-the-ceremony pressure. The prose Integration
sections in requesting-code-review and other skills are unchanged — they
carry placement content, not an index.
2026-07-05 10:21:28 -07:00
6 changed files with 315 additions and 233 deletions
+5 -11
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@@ -16,10 +16,11 @@ Load plan, review critically, execute all tasks, report when complete.
## The Process
### Step 1: Load and Review Plan
1. Read plan file
2. Review critically - identify any questions or concerns about the plan
3. If concerns: Raise them with your human partner before starting
4. If no concerns: Create todos for the plan items and proceed
1. Ensure an isolated workspace: use superpowers:using-git-worktrees to create one or verify the existing one
2. Read plan file
3. Review critically - identify any questions or concerns about the plan
4. If concerns: Raise them with your human partner before starting
5. If no concerns: Create todos for the plan items and proceed
### Step 2: Execute Tasks
@@ -61,10 +62,3 @@ After all tasks complete and verified:
- Reference skills when plan says to
- Stop when blocked, don't guess
- Never start implementation on main/master branch without explicit user consent
## Integration
**Required workflow skills:**
- **superpowers:using-git-worktrees** - Ensures isolated workspace (creates one or verifies existing)
- **superpowers:writing-plans** - Creates the plan this skill executes
- **superpowers:finishing-a-development-branch** - Complete development after all tasks
+3 -14
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@@ -84,6 +84,9 @@ digraph process {
## Pre-Flight Plan Review
Ensure the work happens in an isolated workspace: use
superpowers:using-git-worktrees to create one or verify the existing one.
Before dispatching Task 1, scan the plan once for conflicts:
- tasks that contradict each other or the plan's Global Constraints
@@ -402,17 +405,3 @@ Done!
**If subagent fails task:**
- Dispatch fix subagent with specific instructions
- Don't try to fix manually (context pollution)
## Integration
**Required workflow skills:**
- **superpowers:using-git-worktrees** - Ensures isolated workspace (creates one or verifies existing)
- **superpowers:writing-plans** - Creates the plan this skill executes
- **superpowers:requesting-code-review** - Code review template for the final whole-branch review
- **superpowers:finishing-a-development-branch** - Complete development after all tasks
**Subagents should use:**
- **superpowers:test-driven-development** - Subagents follow TDD for each task
**Alternative workflow:**
- **superpowers:executing-plans** - Use for parallel session instead of same-session execution
+1 -4
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@@ -188,6 +188,7 @@ You MUST complete each phase before proceeding to the next.
- Test passes now?
- No other tests broken?
- Issue actually resolved?
- Use the `superpowers:verification-before-completion` skill before claiming success
4. **If Fix Doesn't Work**
- STOP
@@ -283,10 +284,6 @@ These techniques are part of systematic debugging and available in this director
- **`defense-in-depth.md`** - Add validation at multiple layers after finding root cause
- **`condition-based-waiting.md`** - Replace arbitrary timeouts with condition polling
**Related skills:**
- **superpowers:test-driven-development** - For creating failing test case (Phase 4, Step 1)
- **superpowers:verification-before-completion** - Verify fix worked before claiming success
## Real-World Impact
From debugging sessions:
+7 -6
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@@ -203,12 +203,6 @@ Next failing test for next feature.
| **Clear** | Name describes behavior | `test('test1')` |
| **Shows intent** | Demonstrates desired API | Obscures what code should do |
When writing or changing any test, read [writing-good-tests.md](writing-good-tests.md) for the rules that keep tests honest:
- Name the production change that would make the test fail — before writing it
- Assert on real behavior, never on mock behavior
- Keep test-only code in test utilities, out of production classes
- Understand a dependency's side effects before mocking it
## Why Order Matters
**"I'll write tests after to verify it works"**
@@ -360,6 +354,13 @@ Bug found? Write failing test reproducing it. Follow TDD cycle. Test proves fix
Never fix bugs without a test.
## Testing Anti-Patterns
When adding mocks or test utilities, read [testing-anti-patterns.md](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
```
@@ -0,0 +1,299 @@
# 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:**
```typescript
// ❌ 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
**your human partner's correction:** "Are we testing the behavior of a mock?"
**The fix:**
```typescript
// ✅ 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 present
```
### Gate 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:**
```typescript
// ❌ 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:**
```typescript
// ✅ 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:**
```typescript
// ❌ 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:**
```typescript
// ✅ 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:**
```typescript
// ❌ 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.requestId
```
**Why 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:**
```typescript
// ✅ 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
**your human partner's question:** "Do we need to be using a mock here?"
**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 `*-mock` test 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.
@@ -1,198 +0,0 @@
# Writing Good Tests
**Load this reference when:** writing or changing tests, adding mocks, or
adding cleanup/helper methods for tests.
## Overview
A test exists to catch a specific break. Two principles govern everything
here:
```
1. Every test names the break it catches
2. Every test exercises the real thing
```
Strict TDD produces both naturally: a test written first and watched
failing against real code has already proven it can fail, and only earns
a mock when the real dependency proves slow or external.
## Principle 1: Name the Break
Before writing the test body, answer: **what production change should
make this test fail — and is that change a bug or a decision?** A test
earns its place by catching a wrong branch, missing side effect, wrong
argument, boundary case, or broken contract.
**Derive expectations independently.** Use literals and hand-checked
fixtures; table-driven tests with literal `want` values are the preferred
shape. An expectation computed by the code under test — or its helpers —
passes no matter what that code does:
```typescript
// ❌ Mirror assertion: the same builder computes both sides — always true
const expected = buildSearchQuery({ tag: 'urgent' });
expect(buildSearchQuery({ tag: 'urgent' })).toBe(expected);
// ✅ Hand-derived literal
expect(buildSearchQuery({ tag: 'urgent' })).toBe('tag:"urgent"');
```
**No change detectors.** If only intentional decisions can fail a test —
a constant's value, exact message wording, private structure — it fires
on redesign and sleeps through bugs. Test the behavior that depends on
the decision: not `expect(MAX_RETRIES).toBe(5)` but "a failing call is
retried 5 times and the 6th attempt never happens."
**Behavior, not text.** Asserting that a script, skill, or config
contains an exact line proves only that the source is the source. Run
scripts against controlled inputs and assert outputs, side effects, or
exit codes. Documents that instruct agents are tested by the consuming
agent's behavior (superpowers:writing-skills); prose for humans earns no
test at all.
**Your code, not the framework.** Test the contract your code makes at
its boundaries — the route you register, the query you emit, the payload
you produce. Upstream mechanics are their maintainers' tests to write
(the classic: asserting your router invokes a registered handler — that
is the framework's test, not yours). When upstream behavior genuinely
surprised you, write one narrow characterization test naming the
assumption. The same boundary applies inside your code: constructors,
getters, constants, and trivial forwarding earn tests only when they
validate, normalize, default, derive, enforce, or cause side effects —
otherwise assert the first consumer-visible result that depends on them.
### Gate Function
```
BEFORE writing the test body:
Name the production change that would make this test fail.
Cannot name one → redesign around an observable behavior
"The source text changed" → run the artifact and assert its effects
Only intentional decisions → change detector; test the behavior
that depends on the decision
Confirm the expected value is derived without the code under test.
IF it reuses the code's logic or helpers:
Replace it with a literal or hand-checked fixture
```
## Principle 2: Exercise the Real Thing
**The mock earns no assertions.** A mock assertion passes when the mock
is present and fails when it is absent — it says nothing about the
component. Assert the real component's behavior; if the mock is what you
are checking, unmock it or delete the assertion.
```typescript
// ✅ Real behavior
expect(screen.getByRole('navigation')).toBeInTheDocument();
// ❌ Mock existence
expect(screen.getByTestId('sidebar-mock')).toBeInTheDocument();
```
**your human partner's correction:** "Are we testing the behavior of a
mock?"
**Mock at the right level.** Learn every side effect of the real method
before replacing it; mock the slow or external operation and keep what
the test depends on real. When unsure, run the test against the real
implementation first and observe what actually needs to happen.
```typescript
// ❌ The mock swallows the config write that duplicate detection reads
vi.mock('ToolCatalog', () => ({
discoverAndCacheTools: vi.fn().mockResolvedValue(undefined)
}));
// ✅ Mock only the slow server startup; the config write stays real
vi.mock('MCPServerManager');
```
**Make doubles specific.** When arguments, call counts, or ordering are
part of the contract, assert them — a fake that accepts anything verifies
nothing. Give each branch (success, error, malformed) its own fixture or
spy, so the wrong branch cannot satisfy the expectation.
**Mirror real data completely.** Mock the complete structure as it exists
in reality — all documented fields — not just the ones your test reads.
Partial mocks fail silently when downstream code reads an omitted field:
the test passes while integration breaks.
**Production classes carry production methods only.** Cleanup that only
tests need lives in test utilities, never as a `destroy()` on the
production class. Ask: is this method called only from tests? Does this
class own this resource's lifecycle? Wrong answers → test utility.
**Prefer real components over complex mocks.** When mock setup outgrows
the test logic, mocks miss methods the real components have, or tests
break when the mock changes, switch to an integration test with real
components. **your human partner's question:** "Do we need to be using a
mock here?"
### Gate Function
```
BEFORE adding a mock or test helper:
List the real method's side effects; keep the ones the test
depends on real — mock the slow/external level below them.
Mock responses mirror the complete real structure.
A method only tests call lives in test utilities, not production.
About to assert on the mock itself?
Unmock it or delete the assertion.
```
## Tests Ship With the Implementation
The TDD cycle — failing test, minimal implementation, refactor — is what
"complete" means. Ship the tests the behavior needs and only those:
trivial code and human prose earn none, and a test written to satisfy
process costs maintenance forever.
## The Mutation Check
Before finishing, mentally mutate the production code; at least one test
should fail for each realistic mutation:
- Wrong constant or argument
- Wrong branch handler
- Missing state change or side effect
- Empty or default return
- Missing validation for zero, empty, nil, unauthorized, or malformed input
A mutation nothing catches marks the behavior as unprotected — or the
test as tautological.
## Quick Reference
| When you... | Do |
|-------------|-----|
| Write any test | Name the break it catches — a bug, not a decision |
| Build an expected value | Derive it by hand; never with the code under test |
| Test a script or document | Run it / pressure-test its consumer; never grep its text |
| Reach for a dependency test | Test your boundary contract, not their documented mechanics |
| Want to assert on a mocked element | Test the real component, or unmock it |
| Are about to mock a method | Learn its side effects; mock the slow/external level |
| Build a mock response | Mirror the real structure completely |
| Need cleanup only tests use | Put it in test utilities |
| Watch mock setup balloon | Switch to an integration test with real components |
| Finish a test file | Run the mutation check |
## Warning Signs
- Setup and assertion share the same object, guaranteeing equality
- The test can fail only through a panic, crash, or missing selector
- The test fails on every intentional change, never on accidental breakage
- Expected values are hidden behind loops, builders, or helpers
- The test greps source text, or asserts a removed symbol stays removed
- The test would still matter if only the framework remained
- The test exists for coverage, checking no side effect or outcome
- An assertion checks a `*-mock` test ID, or fails if you remove the mock
- A method is called only from test files
- Mock setup is more than half the test, or you can't explain why the mock is needed
- Mocking "just to be safe"