Agent Skill
2/7/2026

debugging

ALWAYS load when investigating bugs, failures, or unexpected behavior - ensures root cause analysis before attempting fixes.

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proteowizard
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SKILL.md

Namedebugging
DescriptionALWAYS load when investigating bugs, failures, or unexpected behavior - ensures root cause analysis before attempting fixes.

name: debugging description: ALWAYS load when investigating bugs, failures, or unexpected behavior - ensures root cause analysis before attempting fixes.

Debugging Mode

When investigating bugs, failures, or unexpected behavior, shift into debugging mode. This is fundamentally different from development mode.

Core Documentation

Read these files before investigating:

  1. ai/docs/debugging-principles.md - Complete methodology

    • Cycle time analysis
    • Printf debugging techniques
    • Bisection methodology
    • Long-cycle/intermittent strategies
    • Diagnostic output toolkit
  2. ai/docs/leak-debugging-guide.md - Handle/memory leak specifics

    • For leak-specific workflows, load the leak-debugging skill instead

The First Questions

Always start by answering these:

  1. Can it be reproduced? → Determines entire strategy
  2. What is the cycle time? → How long to confirm presence/absence?
  3. Can cycle time be reduced? → Invest effort here first
  4. What is reproduction confidence? → 100% vs intermittent

Quick Reference: Strategy by Cycle Time

Cycle TimeStrategy
< 1 minPrintf debugging, rapid bisection, be self-sufficient
1-60 minBatch diagnostics, careful hypothesis
Hours+Statistical bisection or strategic instrumentation
Intermittent onlyDocChangeLogger pattern, deploy and wait

Critical Principle: Self-Sufficiency

Never ask the user about runtime behavior you can observe yourself.

When cycle time is fast:

  • Don't ask "is it the same object?" → Add Console.WriteLine($"Instance: {RuntimeHelpers.GetHashCode(obj)}")
  • Don't ask "what thread?" → Add Console.WriteLine($"Thread: {Thread.CurrentThread.ManagedThreadId}")
  • Don't ask the user to run the debugger → Instrument the code with printf statements and run the test yourself

You can answer your own questions faster and more comprehensively than any human operating a debugger.

Diagnostic Toolkit

// Object identity
Console.WriteLine($"Instance: {RuntimeHelpers.GetHashCode(obj)}");

// Thread identity
Console.WriteLine($"Thread: {Thread.CurrentThread.ManagedThreadId}");

// Call stack — add selectively to calls of interest (verbose)
Console.WriteLine($"[DEBUG] Stack:\n{Environment.StackTrace}");

// Method entry with context
Console.WriteLine($"[DEBUG] {nameof(MethodName)}: param={value}");

Output-Driven Discipline

Once you add instrumentation, the log output is your primary source of truth:

  1. Use the log file: Run-Tests.ps1 writes to bin\x64\Debug\TestName.log. Use Read to examine it — don't just grep stdout
  2. Read before changing: After each run, read the full debug output before making any code change
  3. Believe the output: If output contradicts your theory, your theory is wrong
  4. No guessing: If the output doesn't answer your question, add more instrumentation — don't speculate
  5. Stack traces selectively: Start with lightweight logging to see how often code runs, then add Environment.StackTrace to the specific cases of interest. Use StackTraceLogger (TestUtil/StackTraceLogger.cs) for scoped logging that filters out expected callers

Bisection Pattern

protected override void DoTest()
{
    // ... first half ...

    return; // BISECT: Testing if bug is in first half

    // ... second half ...
}

If bug present → it's before the return If bug absent → it's after the return Repeat to isolate.

Related Skills

  • leak-debugging - Handle leaks, memory leaks, GC leak tracker failures
  • skyline-nightlytests - Query nightly test data, find affected computers
  • skyline-exceptions - Query exception reports from skyline.ms
  • skyline-development - For implementing fixes after isolation

When to Activate This Skill

Recognize debugging mode when user:

  • Describes unexpected behavior
  • Mentions failures, crashes, leaks, errors
  • References test results or exception reports
  • Asks "why?" rather than "how do I build?"
  • Provides stack traces or error messages

The mode shift: Stop thinking "how do I implement?" → Start thinking "how do I observe and isolate?"

Skills Info
Original Name:debuggingAuthor:proteowizard