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Skill1.2k repo starsupdated 10d ago

trace-and-isolate

The trace-and-isolate skill provides systematic debugging techniques to identify the exact origin of bugs in code using binary search debugging, git bisect for regressions, strategic logging patterns, component isolation, minimal reproduction cases, and conditional breakpoints. Use this skill when bugs are difficult to locate, errors have unclear causes, regressions appeared between recent commits, or you need to narrow down which specific function or component is faulty across TypeScript, SQL, and bash environments.

Install in Claude Code
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git clone --depth 1 https://github.com/rohitg00/skillkit /tmp/trace-and-isolate && cp -r /tmp/trace-and-isolate/packages/core/src/methodology/packs/debugging/trace-and-isolate ~/.claude/skills/trace-and-isolate
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Trace and Isolate

You are using systematic tracing and isolation techniques to narrow down where a bug originates. The goal is to find the exact location in code where behavior diverges from expectation.

## Quick Reference

| Scenario | Technique |
|---|---|
| Large codebase / complex flow | Binary search debugging |
| Bug appeared between commits | `git bisect` |
| Unclear data transformation | Strategic `[TRACE]` logging |
| Which component is faulty? | Component isolation + mocks |
| Bug hard to reproduce | Minimal reproduction case |
| Conditional or intermittent bug | Conditional breakpoints / watch expressions |

## Binary Search Debugging

When you have a large codebase or complex flow:

1. **Identify the start** - Last known good state
2. **Identify the end** - First observed bad state
3. **Test the middle** - Check if behavior is good or bad
4. **Repeat** - Binary search on the half with the bug

### Code Path Binary Search

```
Start: User clicks submit button
End: Error shown to user

Midpoint 1: Form validation
→ Data looks correct here? Continue to later code
→ Data already wrong? Focus on earlier code

Midpoint 2: API request construction
→ Request payload correct? Focus on server side
→ Payload already malformed? Focus on form handling

...Continue until exact line is found
```

### Git Bisect for Regressions

When a bug appeared between two commits:

```bash
# Start bisect
git bisect start

# Mark current (broken) state as bad
git bisect bad

# Mark last known good state
git bisect good v2.3.0

# Git checks out middle commit, test and mark
git bisect good  # or git bisect bad

# Repeat until found
# Git will report: "abc123 is the first bad commit"

# Clean up
git bisect reset
```

Automated bisect with test script:
```bash
git bisect start HEAD v2.3.0
git bisect run npm test -- --grep "failing test"
```

## Tracing Techniques

### Strategic Logging

Add temporary logging at key points:

```typescript
function processOrder(order) {
  console.log('[TRACE] processOrder input:', JSON.stringify(order));

  const validated = validateOrder(order);
  console.log('[TRACE] after validation:', JSON.stringify(validated));

  const priced = calculatePrice(validated);
  console.log('[TRACE] after pricing:', JSON.stringify(priced));

  const result = submitOrder(priced);
  console.log('[TRACE] final result:', JSON.stringify(result));

  return result;
}
```

Log template: `[TRACE] <location>: <what> = <value>`

### Data Flow Tracing

Track how data transforms through the system:

```
Input: { userId: "123", items: [...] }
    ↓
validateUser() → { userId: "123", verified: true }
    ↓
enrichItems() → { userId: "123", verified: true, items: [...enriched] }
    ↓
calculateTotals() → { ..., subtotal: 100, tax: 8, total: 108 }
    ↓
Output: { orderId: "456", total: 108 }
```

At each step, verify:
- Is the input what you expected?
- Is the output what you expected?
- Where does expected diverge from actual?

### Control Flow Tracing

Track which code paths execute:

```typescript
function handleRequest(req) {
  console.log('[TRACE] handleRequest entered');

  if (req.authenticated) {
    console.log('[TRACE] authenticated path');
    if (req.isAdmin) {
      console.log('[TRACE] admin path');
      return handleAdminRequest(req);
    } else {
      console.log('[TRACE] user path');
      return handleUserRequest(req);
    }
  } else {
    console.log('[TRACE] unauthenticated path');
    return handlePublicRequest(req);
  }
}
```

## Isolation Techniques

### Component Isolation

Test components in isolation to determine which is faulty:

```
Full System: Frontend → API → Database
              ↓
Test 1: Frontend → Mock API
        → Works? Problem is in API or Database

Test 2: Real API → Mock Database
        → Works? Problem is in Database

Test 3: API with minimal data
        → Works? Problem is data-dependent
```

### Minimal Reproduction

Strip away everything non-essential:

1. **Remove unrelated code** - Comment out or delete
2. **Simplify data** - Use minimal test data
3. **Remove dependencies** - Mock external services
4. **Reduce scope** - Single function/component

Goal: Smallest possible code that still shows the bug

### Environment Isolation

Eliminate environmental factors:

- [ ] Same behavior in different browsers?
- [ ] Same behavior on different machines?
- [ ] Same behavior with fresh data?
- [ ] Same behavior after clearing cache?
- [ ] Same behavior with default config?

## Breakpoint Strategies

### Strategic Breakpoint Placement

```typescript
function complexFunction(input) {
  // BREAKPOINT 1: Entry - check input
  const step1 = transform(input);
  // BREAKPOINT 2: After first transformation

  for (const item of step1.items) {
    // BREAKPOINT 3: Inside loop - conditional on item
    process(item);
  }

  // BREAKPOINT 4: Exit - check output
  return finalize(step1);
}
```

### Conditional Breakpoints

Only break when condition is met:
- `item.id === "problematic-id"`
- `count > 100`
- `response.status !== 200`

### Watch Expressions

Monitor values without stopping:
- `this.state.items.length`
- `performance.now() - startTime`
- `Object.keys(cache).length`

## Isolation Checklist

Before declaring a component faulty:

- [ ] Tested in complete isolation?
- [ ] All inputs verified correct?
- [ ] All dependencies mocked/verified?
- [ ] Tested with known-good data?
- [ ] Reproduced on clean environment?

## Common Isolation Patterns

### Database Isolation
```sql
-- Create isolated test data
BEGIN TRANSACTION;
-- Insert test data
-- Run test queries
-- Verify results
ROLLBACK;
```

### Network Isolation
```typescript
// Intercept and log all network requests
const originalFetch = window.fetch;
window.fetch = async (...args) => {
  console.log('[TRACE] fetch:', args[0]);
  const response = await originalFetch(...args);
  console.log('[TRACE] response:', response.status);
  return response;
};
```

### Time Isolation
```typescript
// Control time for debugging
c
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