root-cause-tracing

Trace bug root causes by following call stacks to original triggers.

Updated Jul 23, 2025
One-click install
npx skills add https://github.com/levanminhduc/LuongHoaThoNew --skill root-cause-tracing-levanminhduc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/levanminhduc/LuongHoaThoNew/tree/main/.claude/skills/root-cause-tracing
Command: npx skills add https://github.com/levanminhduc/LuongHoaThoNew --skill root-cause-tracing-levanminhduc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill teaches backward tracing to identify the original trigger of bugs, instead of patching symptoms.

Core Features & Use Cases

  • Backward tracing: Start from symptoms and trace to root cause.
  • Instrumented debugging: Add instrumentation to expose data flow.
  • Defense-in-depth: Integrate multi-layer checks for robust fixes.

Quick Start

Begin tracing a failing function to identify the root cause before patching.

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 a bug back to its root cause instead of just fixing the symptom?

Root-cause tracing involves following the call stack backward from where an error manifests to identify the original trigger. By examining the execution path and input data that led to the failure, you can address the underlying problem rather than patching surface symptoms, preventing the bug from recurring in other contexts.

What's the best way to debug errors that appear deep in the call chain?

Use backward tracing: instrument the code to capture data flow and stack context at each layer, then work backward from the error symptom through function calls to find where the triggering condition originated. This approach reveals why the error occurred rather than just where.

How do I use instrumentation to expose what's happening during a failing test?

Add instrumentation strategically throughout the call chain to log input data, state changes, and intermediate results. This captured context lets you replay the execution path backward from test failure to identify which input or state transition caused the error.

Can I prevent traced bugs from happening again with defense-in-depth?

Yes. After identifying the root cause, implement multi-layer checks at different points in the call stack—validation at entry, assertions in intermediate functions, and guards at critical decision points—to catch similar failures before they propagate.

When should I use root-cause tracing versus other debugging approaches?

Root-cause tracing is most effective for bugs with misleading symptoms, failures across long call chains, or recurring issues in similar code paths. It's particularly valuable when the error location doesn't reveal why it occurred, and you need end-to-end traceability to fix the real problem.