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systematic-debugging

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.

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SethGammon/Citadel
Letzte Quellaktivität
24. Juni 2026 um 15:37
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Englisch
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922
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82

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
systematic-debugging
license
MIT
description
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.
user-invocable
true
auto-trigger
false
trigger_keywords
["debug","root cause","diagnose","why is","investigate bug"]
last-updated
2026-06-24T00:00:00.000Z
# /systematic-debugging — Root Cause Before Fix ## 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} --- ```
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