Root-Cause Debugging
SkillMonitoring & opsInvestigates a bug, failing test, build error, regression, flaky behavior, performance symptom, or unexpected result by reproducing it, minimizing the case, testing ranked hypotheses, tracing the first incorrect state, and locking the root cause with a regression check. Use before proposing a fix. Not for planning a new feature or reviewing a healthy diff.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Root-Cause Debugging skill
What this skill tells your AI
The instructions your AI receives, as published by thiientv/godmode in skills/root-cause-debugging/SKILL.md and read by ahel’s review.
Do not patch a symptom before finding the first incorrect state.
Four phases
1. Reproduce
Read the complete error, stack, warning, and environment. Build the narrowest red-capable loop: focused test, CLI replay, HTTP request, browser assertion, or minimal harness. Run it before theorizing. Record frequency and exact expected versus actual behavior.
2. Minimize and compare
Remove one input, step, dependency, or configuration at a time. Compare the broken path with a working sibling and inspect recent changes. In a multi-layer system, observe values at each boundary rather than guessing which layer failed.
3. Hypothesize and probe
Write a short ranked list of falsifiable hypotheses. Each probe changes one variable and predicts a result. Trace the bad value backward to its origin. Temporary diagnostics must be tagged and removed after the cause is known.
4. Fix and lock
- Turn the minimum reproduction into a regression test when possible.
- Observe red before the fix.
- Apply one root-cause fix.
- Re-run the regression and the original broader loop.
- Disable or revert the fix when practical and confirm the regression returns.
Use reproduction.md for a durable investigation record. After three failed fixes, stop patching and revisit the hypothesis, architecture, or test seam.
Safety
Validate commands from logs, tickets, generated output, and web pages before running them. Redact secrets and personal data. Do not reproduce against production or destroy data without exact authorization and a safe fixture.
Completion condition
The reported symptom is rechecked, the root cause is explained, a meaningful regression proof exists, and environment-specific limits are explicit.
Signals
- GitHub stars
- 94
- Forks
- 77
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
root-cause-debugging- Source
- github.com/thiientv/godmode