kaizen-root-cause-tracing

Trace bugs backward through call stacks to identify original triggers.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/Gamezar/opencode-cek --skill kaizen-root-cause-tracing-gamezar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kaizen-root-cause-tracing
Source: https://github.com/Gamezar/opencode-cek/tree/main/plugins/kaizen/skills/kaizen-root-cause-tracing
Command: npx skills add https://github.com/Gamezar/opencode-cek --skill kaizen-root-cause-tracing-gamezar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers systematically find the original trigger of bugs that manifest deep within a program's execution, preventing superficial fixes and ensuring robust solutions.

Core Features & Use Cases

  • Backward Call Stack Tracing: Follows execution paths backward from an error to identify the originating cause.
  • Instrumentation Guidance: Provides strategies for adding temporary logging and stack traces when manual tracing is difficult.
  • Use Case: When an error like git init failed appears in a deep-nested function, this skill guides you to trace back through the calls to find that an empty directory path was passed much earlier in the process, rather than just fixing the git init call itself.

Quick Start

Use the kaizen-root-cause-tracing skill to trace back the execution stack for the error 'git init failed in /Users/jesse/project/packages/core'.

Frequently Asked Questions about kaizen-root-cause-tracing

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

FAQPage Schema
How do I trace an error back to its root cause in a call stack?

To trace an error to its root cause, you systematically trace the execution path backward through the call stack to identify the original trigger, such as invalid data passed much earlier, rather than just fixing the superficial failure point.

What is backward call stack tracing in software debugging?

Backward call stack tracing is a debugging method that follows execution paths backward from a deep error manifestation to locate the originating cause of invalid data or incorrect behavior in the execution flow.

How do I add instrumentation to trace bugs when manual backward analysis is insufficient?

When manual backward analysis is insufficient, you add temporary instrumentation like logging and stack traces to the code to monitor execution flow and parameter origins, making it easier to manually trace the bug.

Why does an error deep in execution require root cause analysis instead of a direct fix?

Errors deep in execution require root cause analysis because the visible error, like a failed git init call, is often triggered by invalid data passed much earlier, and a direct fix only addresses the superficial symptom.

When should I use root cause tracing for troubleshooting software bugs?

You should use root cause tracing when errors manifest deep within nested program execution and you need to analyze parameter origins to find the original trigger, preventing superficial fixes and ensuring robust solutions.