root-cause-tracing

Trace errors back to their original trigger using stack traces and instrumentation.

Updated Dec 13, 2025
One-click install
npx skills add https://github.com/Ryno-Crypto-Mining-Services/braiins-insights-mcp-server --skill root-cause-tracing-ryno-crypto-mining-services
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/Ryno-Crypto-Mining-Services/braiins-insights-mcp-server/tree/main/docs/claude/skills/root-cause-tracing
Command: npx skills add https://github.com/Ryno-Crypto-Mining-Services/braiins-insights-mcp-server --skill root-cause-tracing-ryno-crypto-mining-services

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a systematic methodology for debugging complex issues by tracing errors back to their original trigger, rather than just fixing symptoms. It helps developers efficiently identify the source of invalid data or incorrect behavior, saving significant time in troubleshooting.

Core Features & Use Cases

  • Backward Tracing Process: Guides through observing symptoms, finding immediate causes, and tracing up the call stack to the original trigger.
  • Instrumentation & Stack Traces: Instructs on adding console.error() with stack traces for deep debugging when manual tracing is difficult.
  • Pollution Detection: Utilizes bisection scripts to find which specific test or code change introduces pollution or errors.
  • Use Case: You encounter a git init failed error deep within a test suite, but the immediate cause isn't clear. Use this skill to trace back through the call chain, identify an empty projectDir as the root cause, and implement defense-in-depth validations.

Quick Start

Use the root-cause-tracing skill to debug the "git init failed" error in the WorktreeManager.

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 an error back to its root cause when it occurs deep in the call stack?

Root-cause tracing systematically traces errors backward through the call stack to identify their original trigger rather than just the symptom. Start by observing the error symptom, locate the immediate cause in your code, then work upward through each function call to find where invalid data or incorrect behavior originated, using stack traces and instrumentation to guide your investigation.

When should I use stack traces and instrumentation for debugging instead of manual code review?

Use instrumentation with stack traces when errors occur deep in execution with unclear data origins or long call chains that make manual tracing difficult. Add console.error() statements with stack traces to capture the full execution path, helping you identify which module or function first introduced the problematic data or behavior.

How can I identify which code change or test introduced a bug using root-cause analysis?

Root-cause tracing includes pollution detection through bisection scripts to isolate which specific test or code change introduces an error or pollution. This technique systematically narrows down the exact point of failure across your codebase, allowing you to locate the change responsible for the bug.

What's the difference between fixing a symptom and fixing the root cause?

Fixing a symptom addresses only the immediate error manifestation, while root-cause tracing identifies and fixes the original trigger. Root-cause tracing implements defense-in-depth validations across modules and configurations to prevent the problem from recurring, rather than applying a one-off patch at the failure point.

Can I use root-cause tracing across multiple modules and tests?

Yes, root-cause tracing is designed for multi-layer debugging across modules, tests, and configurations. It guides you through backward tracing with source attribution so you can identify whether invalid data originated from configuration, test setup, a different module, or the immediate code path.