root-cause-tracing

Trace bugs upstream through call chains to identify root causes.

Updated Jan 7, 2026
One-click install
npx skills add https://github.com/Smooth-Operation/household-expense-tracker --skill root-cause-tracing-smooth-operation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/Smooth-Operation/household-expense-tracker/tree/main/.claude/skills/debugging/root-cause-tracing
Command: npx skills add https://github.com/Smooth-Operation/household-expense-tracker --skill root-cause-tracing-smooth-operation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables engineers to identify the true origin of bugs by methodically tracing issues upstream through the call chain, preventing symptom-focused fixes and improving long-term stability.

Core Features & Use Cases

  • Root-cause tracing workflow: observe symptoms, determine immediate causes, map call relationships, and trace upstream to the original trigger.
  • Investigation techniques: log analysis, call stack inspection, and git history review to locate origin.
  • Use Case: debugging intermittent failures or data corruption where symptoms are misleading and only a deeper trace reveals the real cause.

Quick Start

Start a root-cause tracing session by listing the symptom, collecting logs, identifying the immediate cause, tracing upstream calls, and confirming the original trigger with a regression check.

Frequently Asked Questions about root-cause-tracing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I trace the root cause of intermittent failures or data corruption?

Identify root causes of intermittent failures by collecting observations, determining immediate causes, mapping call relationships, and verifying upstream triggers through the call chain. This systematic backward tracing reveals original triggers instead of just treating symptoms.

What is the best way to debug misleading symptoms across software integrations?

Debug misleading symptoms across integrations by applying structured investigation techniques like log analysis, call stack inspection, and git history review. Methodically work backward through the call chain to locate the true origin of data or state corruption.

How do I perform a five-whys analysis for software debugging?

Perform structured RCA debugging by observing symptoms, identifying immediate causes, mapping call relationships, tracing upstream calls, and confirming original triggers with regression checks. This workflow prevents symptom-focused fixes and improves long-term stability.

Can I use root cause tracing for state corruption in tests?

Yes, root cause tracing applies to data and state corruption across software systems, tests, and integrations. It works backward through the call chain to find the original trigger and validates fixes with targeted regression tests.

When should I not use a symptom-focused approach for bug investigation?

Avoid symptom-focused approaches when debugging elusive issues or intermittent failures where symptoms are misleading. Use structured root cause tracing instead to methodically work backward through the call chain and prevent recurring instability.