/systematic-debugging — Root Cause Before Fix

SkillDev tools

4-phase root cause analysis: observe, hypothesize, verify, fix. Enforces investigation before any code changes. Emergency stop after 2 failed fixes. Prevents shotgun debugging and fix cascades.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the /systematic-debugging — Root Cause Before Fix skill

What this skill tells your AI

The instructions your AI receives, as published by sethgammon/citadel in skills/systematic-debugging/SKILL.md and read by ahel’s review.

Orientation

Use when: root cause is unknown and premature fixes keep failing -- enforces observe -> hypothesize -> verify before touching code. Don't use when: root cause is already known (use /marshal to implement the fix); the bug is shallow and the stack trace is enough (use /do).

Protocol

Phase 1: OBSERVATION & REPRODUCTION

  1. Read the error message, stack trace, or bug description
  2. Reproduce the issue:
    • If it's a type error: run typecheck and read the full error
    • If it's a runtime error: identify the triggering conditions
    • If it's a behavioral bug: document expected vs actual behavior
  3. Isolate the failing component/function:
    • What file? What function? What line?
    • What are the inputs when it fails?
    • Does it fail consistently or intermittently?

Output: A clear problem statement: "{Component} does {X} when it should do {Y}, triggered by {condition}"

Phase 2: HYPOTHESIS & VERIFICATION

  1. Formulate up to 3 hypotheses for WHY the bug exists:

    • H1: {most likely cause} — because {evidence}
    • H2: {second candidate} — because {evidence}
    • H3: {third candidate} — because {evidence}
  2. For each hypothesis, define a verification step:

    • Add a console.log / diagnostic read / breakpoint
    • Check a specific value at a specific point
    • DO NOT change any logic yet — only observe
  3. Run the verification:

    • Which hypothesis was confirmed?
    • Which were eliminated?
    • If none confirmed: formulate new hypotheses with the new information

CRITICAL: Do not skip this phase. Do not "just try" a fix. Verify first.

Phase 3: ROOT CAUSE ANALYSIS

Once a hypothesis is confirmed:

  1. Explain WHY the bug happens, not just WHERE:

    • Trace the data flow backward from the symptom to the source
    • Identify the specific incorrect assumption or logic error
    • Document the causal chain: "A calls B with X, B assumes X > 0, but A passes -1 when {condition}"
  2. Check for related occurrences:

    • Is this pattern used elsewhere? Could the same bug exist in similar code?
    • Is there a systemic issue (e.g., missing validation at a boundary)?

Output: Root cause statement: "The bug occurs because {cause}. This happens when {trigger}."

Phase 4: IMPLEMENTATION

  1. Write a failing test case that reproduces the bug (if test framework exists)
  2. Apply the minimal fix — change only what's necessary to resolve the root cause
  3. Verify the fix:
    • Test case now passes
    • Typecheck passes
    • No regressions in related functionality
  4. If the root cause analysis revealed related occurrences, fix those too

Emergency Stop Rule

If a fix fails TWICE: STOP.

Do not try a third guess. The root cause analysis was wrong. Either:

  • Go back to Phase 2 with new hypotheses
  • Ask the user for more context about the system's intended behavior
  • Check if there's a higher-level architectural issue

Three failed fixes in a row means you're guessing, not debugging.

What This Skill Prevents

  • Shotgun debugging — changing random things until the error goes away
  • Symptom fixing — patching the output without understanding the cause
  • Fix cascades — one bad fix creating three new bugs
  • Silent regressions — fixing one path while breaking another

Contextual Gates

Disclosure: "Debugging [symptom]. Phases 1-3 read-only; will confirm before applying fixes in Phase 4." Reversibility: amber — Phase 4 applies targeted fixes to source files; undo with git checkout on modified files. Phases 1-3 are read-only. Trust gates:

  • Any: investigation (Phases 1-3).
  • Familiar (5+ sessions): applying fixes (Phase 4).

Quality Gates

  • A clear problem statement exists before any hypothesis is formed
  • At least one hypothesis was verified (not assumed) before the fix was written
  • The fix addresses the root cause, not just the symptom
  • Typecheck passes after the fix with no new errors
  • If related occurrences were found, they were fixed or documented

Fringe Cases

Bug is intermittent: Document the triggering conditions as precisely as possible. Reproduce it at least once before forming hypotheses. If it can't be reproduced, stop at Phase 1 and ask for more context.

Two fix attempts have already failed: Invoke the Emergency Stop Rule. Return to Phase 2 with new hypotheses. Do not try a third guess without re-reading the relevant code.

No test framework exists: Skip the "write a failing test" step in Phase 4. Verify the fix manually and document how to reproduce the original bug for future reference.

Error is in a dependency or generated file: Document the root cause but do not modify the dependency. Propose a workaround in the consuming code instead.

Exit Protocol

---HANDOFF---
- Bug: {problem statement}
- Root cause: {one-line cause}
- Fix: {what was changed}
- Verified: {typecheck + tests passing}
- Related: {any similar patterns found and fixed}
---

Signals

GitHub stars
922
Forks
82
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
systematic-debugging-sethgammon
Source
github.com/sethgammon/citadel