Four-phase debugging framework that ensures root cause identification before fixes. Use when encountering bugs, test failures, unexpected behavior, or when previous fix attempts failed. Enforces investigate-first discipline ('debug this', 'fix this error', 'test is failing', 'not working').
Testing
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Updated Jan 19, 2026, 04:39 AM
Why Use This
This skill provides specialized capabilities for aiskillstore's codebase.
Use Cases
Developing new features in the aiskillstore repository
Refactoring existing code to follow aiskillstore standards
Understanding and working with aiskillstore's codebase structure
---
name: debugging
description: Four-phase debugging framework that ensures root cause identification before fixes. Use when encountering bugs, test failures, unexpected behavior, or when previous fix attempts failed. Enforces investigate-first discipline ('debug this', 'fix this error', 'test is failing', 'not working').
allowed-tools: '*'
---
# Systematic Debugger
Find root cause before fixing. Symptom fixes are failure.
**Iron Law:** NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST
## When to Use
Answer IN ORDER. Stop at first match:
1. Bug, error, or test failure? → Use this skill
2. Unexpected behavior? → Use this skill
3. Previous fix didn't work? → Use this skill (especially important)
4. Performance problem? → Use this skill
5. None of above? → Skip this skill
**Use especially when:**
- Under time pressure (emergencies make guessing tempting)
- "Quick fix" seems obvious (red flag)
- Already tried 1+ fixes that didn't work
## The Four Phases
Complete each phase before proceeding.
### Phase 1: Root Cause Investigation
**BEFORE attempting ANY fix:**
**1. Read Error Messages Completely**
```text
Don't skip past errors. They often contain the exact solution.
- Full stack trace (note line numbers, file paths)
- Error codes and messages
- Warnings that preceded the error
```
**2. Reproduce Consistently**
| Can reproduce? | Action |
| --------------- | ---------------------------------------------------- |
| Yes, every time | Proceed to step 3 |
| Sometimes | Gather more data - when does it happen vs not? |
| Never | Cannot debug what you cannot reproduce - gather logs |
**3. Check Recent Changes**
```bash
git diff HEAD~5 # Recent code changes
git log --oneline -10 # Recent commits
```
What changed that could cause this? Dependencies? Config? Environment?
**4. Trace Data Flow (Root Cause Tracing)**
When error is deep in call stack:
```text
Symptom: Error at line 50 in utils.js
↑ Called by handler.js:120
↑ Called by router.js:45
↑ Called by app.js:10 ← ROOT CAUSE: bad input here
```
**Technique:**
1. Find where error occurs (symptom)
2. Ask: "What called this with bad data?"
3. Trace up until you find the SOURCE
4. Fix at source, not at symptom
**5. Multi-Component Systems**
When system has multiple layers (API → service → database):
```bash
# Log at EACH boundary before proposing fixes
echo "=== Layer 1 (API): request=$REQUEST ==="
echo "=== Layer 2 (Service): input=$INPUT ==="
echo "=== Layer 3 (DB): query=$QUERY ==="
```
Run once to find WHERE it breaks. Then investigate that layer.
### Phase 2: Pattern Analysis
**1. Find Working Examples**
Locate similar working code in same codebase. What works that's similar?
**2. Identify Differences**
| Working code | Broken code | Could this matter? |
| ---------------- | -------------- | ------------------ |
| Uses async/await | Uses callbacks | Yes - timing |
| Validates input | No validation | Yes - bad data |
List ALL differences. Don't assume "that can't matter."
### Phase 3: Hypothesis Testing
**1. Form Single Hypothesis**
Write it down: "I think X is the root cause because Y"
Be specific:
- ❌ "Something's wrong with the database"
- ✅ "Connection pool exhausted because connections aren't released in error path"
**2. Test Minimally**
| Rule | Why |
| ------------------------ | ---------------------- |
| ONE change at a time | Isolate what works |
| Smallest possible change | Avoid side effects |
| Don't bundle fixes | Can't tell what helped |
**3. Evaluate Result**
| Result | Action |
| --------------- | --------------------------------------- |
| Fixed | Phase 4 (verify) |
| Not fixed | NEW hypothesis (return to 3.1) |
| Partially fixed | Found one issue, continue investigating |
### Phase 4: Implementation
**1. Create Failing Test**
Before fixing, write test that fails due to the bug:
```javascript
it('handles empty input without crashing', () => {
// This test should FAIL before fix, PASS after
expect(() => processData('')).not.toThrow();
});
```
**2. Implement Fix**
- Address ROOT CAUSE identified in Phase 1
- ONE change
- No "while I'm here" improvements
**3. Verify**
- [ ] New test passes
- [ ] Existing tests still pass
- [ ] Issue actually resolved (not just test passing)
**4. If Fix Doesn't Work**
| Fix attempts | Action |
| ------------ | ---------------------------------------- |
| 1-2 | Return to Phase 1 with new information |
| 3+ | STOP - Question architecture (see below) |
**5. After 3+ Failed Fixes: Question Architecture**
Pattern indicating architectural problem:
- Each fix reveals new coupling/shared state
- Fixes require "massive refactoring"
- Each fix creates new symptoms elsewhere
**STOP and ask:**
- Is this pattern fundamentally sound?
- Should we refactor vs. continue patching?
- Discuss with user before more fix attempts
## Red Flags - STOP Immediately
If you catch yourself thinking:
| Thought | Reality |
| ---------------------------------------------- | --------------------------------- |
| "Quick fix for now, investigate later" | Investigate NOW or you never will |
| "Just try changing X" | That's guessing, not debugging |
| "I'll add multiple fixes and test" | Can't isolate what worked |
| "I don't fully understand but this might work" | You need to understand first |
| "One more fix attempt" (after 2+ failures) | 3+ failures = wrong approach |
**ALL mean: STOP. Return to Phase 1.**
## Quick Reference
| Phase | Key Question | Success Criteria |
| ----------------- | ------------------------------------- | ---------------------------------- |
| 1. Root Cause | "WHY is this happening?" | Understand cause, not just symptom |
| 2. Pattern | "What's different from working code?" | Identified key differences |
| 3. Hypothesis | "Is my theory correct?" | Confirmed or formed new theory |
| 4. Implementation | "Does the fix work?" | Test passes, issue resolved |