Awesome-omni-skill systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/systematic-debugging-rutgerdijk" ~/.claude/skills/diegosouzapw-awesome-omni-skill-systematic-debugging-bad830 && rm -rf "$T"
manifest: skills/development/systematic-debugging-rutgerdijk/SKILL.md
source content

Systematic Debugging

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.

Announce at start: "I'm using the systematic-debugging skill to investigate this issue."

The Iron Laws

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST

If you haven't completed Phase 1, you cannot propose fixes.

NO SHORTCUTS. NO WORKAROUNDS. FIX THE ROOT CAUSE.

Violating the letter of this rule is violating the spirit of debugging.

Forbidden Shortcuts

These are NEVER acceptable fixes:

TypeScript/JavaScript:

ShortcutWhy It's Wrong
// @ts-ignore
or
// @ts-expect-error
Suppresses type safety, bug waiting to happen
// eslint-disable
or
// eslint-disable-next-line
Hides code quality issues
any
type
Bypasses type checking, defeats the purpose
as
type casting to force types
Bypasses type safety
Adding
!
(non-null assertion)
Lies to the compiler
Empty catch blocks
catch (e) {}
Swallows errors, makes debugging impossible

.NET/C#:

ShortcutWhy It's Wrong
#pragma warning disable
Hides compiler warnings
[SuppressMessage]
attributes
Hides analyzer findings
catch (Exception) { }
empty catch
Swallows all errors silently
catch { }
without exception variable
Can't even log what went wrong
object
instead of proper type
Bypasses type safety
dynamic
keyword
Bypasses compile-time checking
!
null-forgiving operator
Lies to the compiler about nullability
default!
to silence nullable warnings
Hiding null issues, not fixing them
[Obsolete]
on new code to silence warnings
Abuse of the attribute
.Result
or
.Wait()
on async
Deadlock risk, hides async issues

Both:

ShortcutWhy It's Wrong
Commenting out codeHides the problem, breaks functionality
Wrapping in try/catch without handlingMasks the real error
Disabling tests that failTests exist for a reason
Deleting tests that failYou're deleting the safety net

If you find yourself reaching for any of these, STOP.

Return to Phase 1. Find the root cause. Fix it properly.

When to Use

Use for ANY technical issue:

  • Test failures
  • Bugs in production
  • Unexpected behavior
  • Performance problems
  • Build failures
  • Integration issues

Use ESPECIALLY when:

  • Under time pressure (emergencies make guessing tempting)
  • "Just one quick fix" seems obvious
  • You've already tried multiple fixes
  • Previous fix didn't work

The Four Phases

You MUST complete each phase before proceeding to the next.

Phase 1: Root Cause Investigation

BEFORE attempting ANY fix:

  1. Read Error Messages Carefully

    • Don't skip past errors or warnings
    • Read stack traces completely
    • Note line numbers, file paths, error codes
  2. Reproduce Consistently

    • Can you trigger it reliably?
    • What are the exact steps?
    • If not reproducible → gather more data, don't guess
  3. Check Recent Changes

    • What changed that could cause this?
    • Git diff, recent commits
    • New dependencies, config changes
  4. Gather Evidence in Multi-Component Systems

    For .NET/React stack, check each layer:

    # Frontend
    echo "=== Browser Console ==="
    # Check DevTools console for errors
    
    # API Layer
    echo "=== API Response ==="
    curl -v http://localhost:5000/api/endpoint
    
    # Backend Logs
    echo "=== .NET Logs ==="
    # Check Serilog output
    
    # Database
    echo "=== Database State ==="
    # Check PostgreSQL for data issues
    
  5. Trace Data Flow

    • Where does bad value originate?
    • Trace backward through call stack
    • Fix at source, not at symptom

Phase 2: Pattern Analysis

  1. Find Working Examples

    • Locate similar working code in same codebase
    • What works that's similar to what's broken?
  2. Compare Against References

    • Check instruction files in
      .github/instructions/
      for common mistakes
    • Read the relevant instruction file completely
  3. Identify Differences

    • What's different between working and broken?
    • List every difference, however small

Phase 3: Hypothesis and Testing

  1. Form Single Hypothesis

    • State clearly: "I think X is the root cause because Y"
    • Be specific, not vague
  2. Test Minimally

    • Make the SMALLEST possible change to test hypothesis
    • One variable at a time
    • Don't fix multiple things at once
  3. Verify Before Continuing

    • Did it work? Yes → Phase 4
    • Didn't work? Form NEW hypothesis
    • DON'T add more fixes on top
  4. When You Don't Know

    • Say "I don't understand X"
    • Don't pretend to know
    • Don't guess and hope
    • Ask for help or research more

Phase 4: Implementation

  1. Create Failing Test Case

    • Follow TDD: write test BEFORE fix
    • Test must fail without the fix
    • Commit:
      test(<scope>): add test for <issue>
  2. Implement Single Fix

    • Address the root cause identified
    • ONE change at a time
    • Commit:
      fix(<scope>): <description>

Scopes:

backend
,
frontend
,
api
,
db
,
auth
,
tests
,
docs

  1. Verify Fix

    • Test passes now?
    • No other tests broken?
    • Issue actually resolved?
  2. If 3+ Fixes Failed: Question Architecture

    Pattern indicating architectural problem:

    • Each fix reveals new shared state/coupling
    • Fixes require "massive refactoring"
    • Each fix creates new symptoms elsewhere

    STOP and discuss with user before attempting more fixes

Red Flags - STOP and Follow Process

If you catch yourself thinking:

  • "Quick fix for now, investigate later"
  • "Just try changing X and see if it works"
  • "It's probably X, let me fix that"
  • "I don't fully understand but this might work"
  • "Let me just comment this out for now"
  • "I'll add @ts-ignore to make it compile"
  • "I'll disable this lint rule"
  • "I'll use
    any
    type here"
  • Proposing solutions before tracing data flow
  • Reaching for suppressions instead of fixes

ALL of these mean: STOP. Return to Phase 1.

User Signals You're Doing It Wrong

Watch for these redirections from the user:

  • "Is that not happening?" → You assumed without verifying
  • "Will it show us...?" → You should have added evidence gathering
  • "Stop guessing" → You're proposing fixes without understanding
  • "Go deeper" → You're treating symptoms, not root cause
  • "Why did you comment that out?" → You took a shortcut
  • "That's a workaround, not a fix" → Return to Phase 1

When you see these: STOP. Return to Phase 1.

Common Rationalizations

ExcuseReality
"Issue is simple, don't need process"Simple issues have root causes too. Process is fast for simple bugs.
"Emergency, no time for process"Systematic debugging is FASTER than guess-and-check thrashing.
"Just try this first, then investigate"First fix sets the pattern. Do it right from the start.
"I'll write test after confirming fix works"Untested fixes don't stick. Test first proves it.
"One more fix attempt" (after 2+ failures)3+ failures = architectural problem. Question pattern, don't fix again.
"I'll just comment this out temporarily"Temporary becomes permanent. Fix it properly now.
"The linter rule is wrong here"The linter found a real issue. Fix the code, not the linter.
"@ts-ignore is fine for this one case"One case becomes many. Fix the type error properly.
"Using
any
saves time"
any
hides bugs that will cost MORE time later.
"I'll suppress the warning for now"Warnings exist for a reason. Understand and fix them.
"The error doesn't affect functionality"If it doesn't matter, why suppress it? If it matters, fix it.
"I don't understand the error, so ignore it"Not understanding is the problem. Learn, then fix.

Quick Reference

PhaseKey ActivitiesSuccess Criteria
1. Root CauseRead errors, reproduce, check changes, gather evidenceUnderstand WHAT and WHY
2. PatternFind working examples, compareIdentify differences
3. HypothesisForm theory, test minimallyConfirmed or new hypothesis
4. ImplementationCreate test, fix, verifyBug resolved, tests pass

Supporting Techniques

These techniques are part of systematic debugging and available in this directory:

TechniqueWhen to UseFile
Root Cause TracingBug appears deep in call stack, need to trace backward
root-cause-tracing.md
Defense-in-DepthAfter fixing, add validation at every layer
defense-in-depth.md
Condition-Based WaitingFlaky tests with arbitrary delays
condition-based-waiting.md

Root Cause Tracing

When error is deep in call stack:

  1. Find immediate cause
  2. Ask: "What called this?"
  3. Keep tracing up
  4. Fix at the SOURCE, not the symptom

See

root-cause-tracing.md
for detailed process with .NET/React examples.

Defense-in-Depth

After finding root cause, add validation at EVERY layer:

  1. Entry point (Controller/Form)
  2. Business logic (Service)
  3. Environment guards
  4. Debug instrumentation

See

defense-in-depth.md
for the 4-layer pattern.

Condition-Based Waiting

For flaky tests, replace arbitrary delays with condition polling:

// ❌ await Task.Delay(500);
// ✅ await WaitForAsync(() => GetResult(), r => r != null, "result");

See

condition-based-waiting.md
for implementation patterns.

Integration with Other Skills

After debugging:

  • verification
    — Verify fix before claiming success
  • layered-review
    — Review changes before finalizing

Related skills:

  • test-driven-development
    — Write failing test before fix (Phase 4)
  • executing-plans
    — TDD enforcement during implementation
  • pressure-test-scenarios
    — Scenarios 1, 10, 11, 12 test debugging discipline

Instruction files to consult:

  • dotnet.instructions.md
    — Common .NET debugging patterns
  • react.instructions.md
    — Common React debugging patterns
  • testing-dotnet.instructions.md
    — xUnit/FluentAssertions patterns
  • testing-playwright.instructions.md
    — E2E test debugging