root-cause-tracing

Trace call stacks backward to identify the original error trigger.

6|Updated Dec 7, 2025
One-click install
npx skills add https://github.com/timequity/plugins --skill root-cause-tracing-timequity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/timequity/plugins/tree/main/craft-coder/root-cause-tracing
Command: npx skills add https://github.com/timequity/plugins --skill root-cause-tracing-timequity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bugs often manifest deep in the call stack. Fixing the symptom can mask the original trigger. This Skill helps you systematically trace backward through the call chain to identify where invalid data originated and why the failure happened.

Core Features & Use Cases

  • Backward tracing: Follow the stack to the original trigger, not just the surface error.
  • Root-cause pinpointing: Identify the exact line or boundary where data becomes invalid.
  • Real-world example: An error surfaces in a deep helper; tracing reveals the issue originated in auth middleware that failed to set a required value.

Quick Start

Trace the given stack trace and ask for the original trigger. For example: "Trace the error: 'Cannot read property map of undefined' back to its origin and suggest fixes."

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 in the call stack?

Root-cause tracing follows the call stack backward from where an error surfaces to identify the original trigger. Start by capturing the full stack trace, then systematically work upward through each function call to find where invalid data originated or where a required value was never set, rather than fixing only the symptom at the surface level.

Why does my error occur deep in the code when the actual problem is elsewhere?

Errors manifest where they're detected, not where they originate. Invalid data or missing values can propagate through many function calls before causing a failure. Root-cause tracing reveals the boundary where data became invalid—often in middleware, initialization, or data transformation layers—so you fix the source instead of masking the symptom.

What's the best way to identify where invalid data enters the call chain?

Backward tracing through the call stack pinpoints where data first becomes invalid or where a required value should have been set. By examining each layer from the error point upward, you identify the exact line or code boundary responsible, enabling targeted fixes at the root rather than workarounds at the failure point.

Can I use call stack instrumentation to diagnose bugs in production?

Call stack instrumentation captures the full execution path and traces errors backward through nested function calls, making it practical for diagnosing bugs in production environments. This approach reveals the original trigger buried deep in execution chains without requiring reproduction in development.

When should I trace backward instead of just fixing the error message?

Trace backward when errors occur deep in execution with long call chains, when the origin of invalid data is unclear, or when the same error recurs after applying surface-level fixes. Backward tracing prevents masking root causes and delivers actionable remediation guidance for lasting fixes.