debug-pro

SKILL.md content

# debug-pro

Systematic debugging methodology and language-specific debugging commands.

## The 7-Step Debugging Protocol

1. **Reproduce** — Get it to fail consistently. Document exact steps, inputs, and environment.
2. **Isolate** — Narrow scope. Comment out code, use binary search, check recent commits with `git bisect`.
3. **Hypothesize** — Form a specific, testable theory about the root cause.
4. **Instrument** — Add targeted logging, breakpoints, or assertions.
5. **Verify** — Confirm root cause. If hypothesis was wrong, return to step 3.
6. **Fix** — Apply the minimal correct fix. Resist the urge to refactor while debugging.
7. **Regression Test** — Write a test that catches this bug. Verify it passes.

## Language-Specific Debugging

### JavaScript / TypeScript
```bash
# Node.js debugger
node --inspect-brk app.js
# Chrome DevTools: chrome://inspect

# Console debugging
console.log(JSON.stringify(obj, null, 2))
console.trace('Call stack here')
console.time('perf'); /* code */ console.timeEnd('perf')

# Memory leaks
node --expose-gc --max-old-space-size=4096 app.js
```

### Python
```bash
# Built-in debugger
python -m pdb script.py

# Breakpoint in code
breakpoint()  # Python 3.7+

# Verbose tracing
python -X tracemalloc script.py

# Profile
python -m cProfile -s cumulative script.py
```

### Swift
```bash
# LLDB debugging
lldb ./MyApp
(lldb) breakpoint set --name main
(lldb) run
(lldb) po myVariable

# Xcode: Product → Profile (Instruments)
```

### CSS / Layout
```css
/* Outline all elements */
* { outline: 1px solid red !important; }

/* Debug specific element */
.debug { background: rgba(255,0,0,0.1) !important; }
```

### Network
```bash
# HTTP debugging
curl -v https://api.example.com/endpoint
curl -w "@curl-format.txt" -o /dev/null -s https://example.com

# DNS
dig example.com
nslookup example.com

# Ports
lsof -i :3000
netstat -tlnp
```

### Git Bisect
```bash
git bisect start
git bisect bad              # Current commit is broken
git bisect good abc1234     # Known good commit
# Git checks out middle commit — test it, then:
git bisect good  # or  git bisect bad
# Repeat until root cause commit is found
git bisect reset
```

## Common Error Patterns

| Error | Likely Cause | Fix |
|-------|-------------|-----|
| `Cannot read property of undefined` | Missing null check or wrong data shape | Add optional chaining (`?.`) or validate data |
| `ENOENT` | File/directory doesn't exist | Check path, create directory, use `existsSync` |
| `CORS error` | Backend missing CORS headers | Add CORS middleware with correct origins |
| `Module not found` | Missing dependency or wrong import path | `npm install`, check tsconfig paths |
| `Hydration mismatch` (React) | Server/client render different HTML | Ensure consistent rendering, use `useEffect` for client-only |
| `Segmentation fault` | Memory corruption, null pointer | Check array bounds, pointer validity |
| `Connection refused` | Service not running on expected port | Check if service is up, verify port/host |
| `Permission denied` | File/network permission issue | Check chmod, firewall, sudo |

## Quick Diagnostic Commands

```bash
# What's using this port?
lsof -i :PORT

# What's this process doing?
ps aux | grep PROCESS

# Watch file changes
fswatch -r ./src

# Disk space
df -h

# System resource usage
top -l 1 | head -10
```

How this skill works

• The skill declares the capability 'debug:pro'
• It accepts an optional 'debug_level' input of type string, defaulting to 'info'
• It produces a 'debug_output' output of type string
• The skill is designed for advanced debugging of agent tasks

When to use it

• When enabling verbose logging to trace agent execution issues
• When starting a profiling session to analyze performance bottlenecks
• When dumping the current agent state for inspection
• When simulating errors to test agent resilience

Best practices

• Use only in non-production environments to avoid performance impacts
• Ensure write permissions on the log directory before activation
• Monitor log file sizes and implement rotation
• Test skill configuration in a safe environment first
• Disable tracing after debugging sessions to prevent excessive logging

Example use cases

• Enabling verbose debug logging: Activates detailed logging output to capture agent decision-making steps, tool calls, and internal states for troubleshooting.
• Capturing stack traces on errors: Automatically generates and logs full stack traces when exceptions occur during skill execution to diagnose failures.
• Performance profiling: Measures and reports execution time, memory usage, and resource consumption for individual tasks or entire workflows.
• Interactive variable inspection: Provides commands to inspect and modify agent variables, memory contents, and context in real-time during debugging sessions.

FAQs