Compare commits

..

12 Commits

Author SHA1 Message Date
Jesse Vincent 91eba77cf1 refactor(skills): drop Why Order Matters narrative from test-driven-development
The section's five prose rebuttals each map to a Common Rationalizations
row (test-after, manual-tested, sunk-cost, dogmatic, spirit-not-ritual),
and every excuse phrasing also appears in the Red Flags list. This is the
highest-stakes cut on the branch: TDD is the most pressure-tested
discipline skill, and the bet that the table alone holds under pressure
is exactly what the eval pass must decide.
2026-07-05 12:30:21 -07:00
Jesse Vincent c7675f7339 refactor(skills): drop The Bottom Line recap from receiving-code-review
Restates the evaluate-don't-obey frame, verification rule, and
no-performative-agreement rule, each detailed earlier at point of use.
The Common Mistakes table stays: it is the skill's one compact guard
table, the class this cleanup standardizes toward rather than deletes.
2026-07-05 12:29:40 -07:00
Jesse Vincent aba66ce8ca refactor(skills): drop The Bottom Line recap from writing-skills
Restates the Iron Law, the RED-GREEN-REFACTOR mapping, and the
TDD-for-docs framing, all stated in full earlier in the file.
2026-07-05 12:29:10 -07:00
Jesse Vincent e21dd95299 refactor(skills): drop Remember recap from writing-plans
All four lines restate the Overview (DRY/YAGNI/TDD/frequent commits),
Task Structure (exact paths, commands with expected output), and No
Placeholders (complete code in every step).
2026-07-05 12:28:36 -07:00
Jesse Vincent 96e69192f8 refactor(skills): fold brainstorming Key Principles into points of use
Five of six principles restated the Checklist and Process sections
verbatim-in-spirit. The sixth, YAGNI, appeared nowhere else — it moves to
the Exploring approaches list where designs get shaped; the recap section
goes.
2026-07-05 12:27:58 -07:00
Jesse Vincent 711d456a35 refactor(skills): convert using-git-worktrees guard sections to rationalization table
Common Mistakes and Red Flags restated Steps 0-3 wholesale; both fold
into one Common Rationalizations table (house Excuse/Reality form) whose
five rows carry the tempting-thought version of each rule, including the
#1-mistake emphasis on bypassing native tools. Quick Reference stays as
the compact decision aid.
2026-07-05 12:26:53 -07:00
Jesse Vincent dd80c3631a refactor(skills): drop workflow-index section from requesting-code-review
Integration with Workflows restated the When to Request Review triggers
grouped by caller (each-task/before-merge/when-stuck all appear at point
of use), and the intro's mechanism-rationale sentence sold a rule the
preceding sentence already states.
2026-07-05 12:26:14 -07:00
Jesse Vincent 17207df106 refactor(skills): drop Advantages section from subagent-driven-development
Five blocks of benefits and cost/benefit selling aimed at a reader who
has already invoked the skill; the vs-Executing-Plans comparison also
duplicates the one under When to Use. Integration section untouched
(PR #1932 owns it).
2026-07-05 12:25:44 -07:00
Jesse Vincent 13143d5913 refactor(skills): trim quality claim from executing-plans subagent note
The tell-your-partner directive and the prefer-SDD instruction stay; the
significantly-higher-quality sentence restated them as a claim.
Integration section untouched (PR #1932 owns it).
2026-07-05 12:24:38 -07:00
Jesse Vincent 8478ac20dd refactor(skills): drop persuasion sections from verification-before-completion
Why This Matters (failure-memory testimonials), the dishonesty reframing
in the Overview, and The Bottom Line recap all restate stakes the Iron
Law, gate function, and rationalization table already enforce. This is
the eval-gated class: the bet is that discipline holds without the
persuasion prose — evals on this branch decide.
2026-07-05 12:24:18 -07:00
Jesse Vincent 7a93bd54d8 refactor(skills): drop social proof from systematic-debugging
Real-World Impact was statistics; the Overview opener restated the core
principle as motivation. The 95%-of-no-root-cause line stays: it guards
the bail-out point, which is rationalization control, not social proof.
Supporting Techniques/Related skills untouched (PR #1932 owns that).
2026-07-05 12:23:39 -07:00
Jesse Vincent 2f1f67d2b0 refactor(skills): drop social proof from dispatching-parallel-agents
Real-World Impact restated the Real Example from Session as statistics;
Key Benefits and the time-saved line sold the skill to a reader already
executing it. Instructions unchanged.
2026-07-05 12:22:52 -07:00
14 changed files with 317 additions and 426 deletions
+1 -9
View File
@@ -77,6 +77,7 @@ digraph brainstorming {
- Propose 2-3 different approaches with trade-offs
- Present options conversationally with your recommendation and reasoning
- Lead with your recommended option and explain why
- YAGNI ruthlessly - remove unnecessary features from every approach and design
**Presenting the design:**
@@ -130,15 +131,6 @@ Wait for the user's response. If they request changes, make them and re-run the
- Invoke the writing-plans skill to create a detailed implementation plan
- Do NOT invoke any other skill. writing-plans is the next step.
## Key Principles
- **One question at a time** - Don't overwhelm with multiple questions
- **Multiple choice preferred** - Easier to answer than open-ended when possible
- **YAGNI ruthlessly** - Remove unnecessary features from all designs
- **Explore alternatives** - Always propose 2-3 approaches before settling
- **Incremental validation** - Present design, get approval before moving on
- **Be flexible** - Go back and clarify when something doesn't make sense
## Visual Companion
A browser-based companion for showing mockups, diagrams, and visual options during brainstorming. Available as a tool — not a mode. Accepting the companion means it's available for questions that benefit from visual treatment; it does NOT mean every question goes through the browser.
@@ -158,15 +158,6 @@ Agent 3 → Fix tool-approval-race-conditions.test.ts
**Integration:** All fixes independent, no conflicts, full suite green
**Time saved:** 3 problems solved in parallel vs sequentially
## Key Benefits
1. **Parallelization** - Multiple investigations happen simultaneously
2. **Focus** - Each agent has narrow scope, less context to track
3. **Independence** - Agents don't interfere with each other
4. **Speed** - 3 problems solved in time of 1
## Verification
After agents return:
@@ -174,12 +165,3 @@ After agents return:
2. **Check for conflicts** - Did agents edit same code?
3. **Run full suite** - Verify all fixes work together
4. **Spot check** - Agents can make systematic errors
## Real-World Impact
From debugging session (2025-10-03):
- 6 failures across 3 files
- 3 agents dispatched in parallel
- All investigations completed concurrently
- All fixes integrated successfully
- Zero conflicts between agent changes
+1 -1
View File
@@ -11,7 +11,7 @@ Load plan, review critically, execute all tasks, report when complete.
**Announce at start:** "I'm using the executing-plans skill to implement this plan."
**Note:** Tell your human partner that Superpowers works much better with access to subagents. The quality of its work will be significantly higher if run on a platform with subagent support (Claude Code, Codex CLI, Codex App, and Copilot CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
**Note:** Tell your human partner that Superpowers works much better with access to subagents (Claude Code, Codex CLI, Codex App, and Copilot CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
## The Process
-8
View File
@@ -203,11 +203,3 @@ You understand 1,2,3,6. Unclear on 4,5.
## GitHub Thread Replies
When replying to inline review comments on GitHub, reply in the comment thread (`gh api repos/{owner}/{repo}/pulls/{pr}/comments/{id}/replies`), not as a top-level PR comment.
## The Bottom Line
**External feedback = suggestions to evaluate, not orders to follow.**
Verify. Question. Then implement.
No performative agreement. Technical rigor always.
+1 -16
View File
@@ -5,7 +5,7 @@ description: Use when completing tasks, implementing major features, or before m
# Requesting Code Review
Dispatch a code reviewer subagent to catch issues before they cascade. The reviewer gets precisely crafted context for evaluation — never your session's history. This keeps the reviewer focused on the work product, not your thought process, and preserves your own context for continued work.
Dispatch a code reviewer subagent to catch issues before they cascade. The reviewer gets precisely crafted context for evaluation — never your session's history.
**Core principle:** Review early, review often.
@@ -72,21 +72,6 @@ You: [Fix progress indicators]
[Continue to Task 3]
```
## Integration with Workflows
**Subagent-Driven Development:**
- Review after EACH task
- Catch issues before they compound
- Fix before moving to next task
**Executing Plans:**
- Review after each task or at natural checkpoints
- Get feedback, apply, continue
**Ad-Hoc Development:**
- Review before merge
- Review when stuck
## Red Flags
**Never:**
@@ -332,38 +332,6 @@ Final reviewer: All requirements met, ready to merge
Done!
```
## Advantages
**vs. Manual execution:**
- Subagents follow TDD naturally
- Fresh context per task (no confusion)
- Parallel-safe (subagents don't interfere)
- Subagent can ask questions (before AND during work)
**vs. Executing Plans:**
- Same session (no handoff)
- Continuous progress (no waiting)
- Review checkpoints automatic
**Efficiency gains:**
- Controller curates exactly what context is needed; bulk artifacts move
as files, not pasted text
- Subagent gets complete information upfront
- Questions surfaced before work begins (not after)
**Quality gates:**
- Self-review catches issues before handoff
- Task review carries two verdicts: spec compliance and code quality
- Review loops ensure fixes actually work
- Spec compliance prevents over/under-building
- Code quality ensures implementation is well-built
**Cost:**
- More subagent invocations (implementer + reviewer per task)
- Controller does more prep work (extracting all tasks upfront)
- Review loops add iterations
- But catches issues early (cheaper than debugging later)
## Red Flags
**Never:**
-10
View File
@@ -7,8 +7,6 @@ description: Use when encountering any bug, test failure, or unexpected behavior
## Overview
Random fixes waste time and create new bugs. Quick patches mask underlying issues.
**Core principle:** ALWAYS find root cause before attempting fixes. Symptom fixes are failure.
**Violating the letter of this process is violating the spirit of debugging.**
@@ -286,11 +284,3 @@ These techniques are part of systematic debugging and available in this director
**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:
- Systematic approach: 15-30 minutes to fix
- Random fixes approach: 2-3 hours of thrashing
- First-time fix rate: 95% vs 40%
- New bugs introduced: Near zero vs common
+7 -56
View File
@@ -203,62 +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"**
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 |
@@ -360,6 +304,13 @@ 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"
+8 -43
View File
@@ -156,47 +156,12 @@ Ready to implement <feature-name>
| Tests fail during baseline | Report failures + ask |
| No package.json/Cargo.toml | Skip dependency install |
## Common Mistakes
## Common Rationalizations
### Fighting the harness
- **Problem:** Using `git worktree add` when the platform already provides isolation
- **Fix:** Step 0 detects existing isolation. Step 1a defers to native tools.
### Skipping detection
- **Problem:** Creating a nested worktree inside an existing one
- **Fix:** Always run Step 0 before creating anything
### Skipping ignore verification
- **Problem:** Worktree contents get tracked, pollute git status
- **Fix:** Always use `git check-ignore` before creating project-local worktree
### Assuming directory location
- **Problem:** Creates inconsistency, violates project conventions
- **Fix:** Follow priority: explicit instructions > existing project-local directory > default
### Proceeding with failing tests
- **Problem:** Can't distinguish new bugs from pre-existing issues
- **Fix:** Report failures, get explicit permission to proceed
## Red Flags
**Never:**
- Create a worktree when Step 0 detects existing isolation
- Use `git worktree add` when you have a native worktree tool (e.g., `EnterWorktree`). This is the #1 mistake — if you have it, use it.
- Skip Step 1a by jumping straight to Step 1b's git commands
- Create worktree without verifying it's ignored (project-local)
- Skip baseline test verification
- Proceed with failing tests without asking
**Always:**
- Run Step 0 detection first
- Prefer native tools over git fallback
- Follow directory priority: explicit instructions > existing project-local directory > default
- Verify directory is ignored for project-local
- Auto-detect and run project setup
- Verify clean test baseline
| Excuse | Reality |
|--------|---------|
| "I'm obviously not in a worktree — no need to check" | Run Step 0. Harness-created isolation and submodules both fool eyeballing; the detection commands settle it. |
| "`git worktree add` is quicker than hunting for a native tool" | A native tool (e.g. `EnterWorktree`) owns placement, branching, and cleanup. Bypassing it is the #1 mistake — it creates phantom state your harness can't see or manage. |
| "The worktree directory is surely ignored already" | Run `git check-ignore`. An unignored worktree directory commits the whole tree into the repo. |
| "Any directory name works" | Explicit instructions beat an existing project-local directory, which beats the `.worktrees/` default. |
| "The workspace is fresh — baseline tests can wait" | A dirty baseline makes every later failure ambiguous. Run the tests now; proceeding past failures is your human partner's call. |
@@ -7,8 +7,6 @@ description: Use when about to claim work is complete, fixed, or passing, before
## Overview
Claiming work is complete without verification is dishonesty, not efficiency.
**Core principle:** Evidence before claims, always.
**Violating the letter of this rule is violating the spirit of this rule.**
@@ -105,15 +103,6 @@ Skip any step = lying, not verifying
❌ Trust agent report
```
## Why This Matters
From 24 failure memories:
- your human partner said "I don't believe you" - trust broken
- Undefined functions shipped - would crash
- Missing requirements shipped - incomplete features
- Time wasted on false completion → redirect → rework
- Violates: "Honesty is a core value. If you lie, you'll be replaced."
## When To Apply
**ALWAYS before:**
@@ -129,11 +118,3 @@ From 24 failure memories:
- Paraphrases and synonyms
- Implications of success
- ANY communication suggesting completion/correctness
## The Bottom Line
**No shortcuts for verification.**
Run the command. Read the output. THEN claim the result.
This is non-negotiable.
-6
View File
@@ -135,12 +135,6 @@ Every step must contain the actual content an engineer needs. These are **plan f
- Steps that describe what to do without showing how (code blocks required for code steps)
- References to types, functions, or methods not defined in any task
## Remember
- Exact file paths always
- Complete code in every step — if a step changes code, show the code
- Exact commands with expected output
- DRY, YAGNI, TDD, frequent commits
## Self-Review
After writing the complete plan, look at the spec with fresh eyes and check the plan against it. This is a checklist you run yourself — not a subagent dispatch.
-10
View File
@@ -677,13 +677,3 @@ How future agents find your skill:
6. **Loads example** (only when implementing)
**Optimize for this flow** - put searchable terms early and often.
## The Bottom Line
**Creating skills IS TDD for process documentation.**
Same Iron Law: No skill without failing test first.
Same cycle: RED (baseline) → GREEN (write skill) → REFACTOR (close loopholes).
Same benefits: Better quality, fewer surprises, bulletproof results.
If you follow TDD for code, follow it for skills. It's the same discipline applied to documentation.