root-cause-tracing

Trace issues backward through the call stack to identify root causes.

4|Updated Dec 5, 2025
One-click install
npx skills add https://github.com/aaaa47080/stock_agent --skill root-cause-tracing-aaaa47080
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: root-cause-tracing
Source: https://github.com/aaaa47080/stock_agent/tree/main/.opencode/skills/root-cause-tracing
Command: npx skills add https://github.com/aaaa47080/stock_agent --skill root-cause-tracing-aaaa47080

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Trace issues backward through the call stack to find the true root cause, not just symptoms.

Core Features & Use Cases

  • Backward tracing across UI, API, service, and data layers to identify root causes.
  • Step-by-step debugging guidance with concrete checks for data flow and boundaries.
  • Common root-cause patterns and anti-patterns to accelerate diagnosis.

Quick Start

Identify a failing component and perform backward tracing to locate the root cause.

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 a bug instead of just fixing symptoms?

Tracing the root cause involves stepping backward through the call stack from the failing component to identify the true origin. This approach applies to bug reports and test failures across UI, API, service, and data layers rather than just addressing surface symptoms.

What is backward tracing for software diagnostics?

Backward tracing is a software diagnostics technique that tracks issues backward through the call stack to locate the true root cause. It guides data-flow checks and logging at boundaries across API, service, and data layers to isolate faults.

How do I debug test failures across API and data layers?

Debug test failures across API and data layers by performing backward tracing from the failing test. This method applies concrete data-flow checks and boundary logging to identify the underlying root cause of the failure.

Does this root-cause tracing approach work for performance problems?

Yes, root-cause tracing works for performance problems by tracing the issue backward through the call stack. It applies step-by-step debugging guidance to identify the true source of the degradation across service and data layers.

What is the best way to troubleshoot a failing component in a software application?

The best way to troubleshoot a failing component is to trace backward through the call stack. By applying common root-cause patterns and anti-patterns, you can accelerate diagnosis and pinpoint the true fault across application layers.

When should I use call stack tracing instead of standard debugging?

Use call stack tracing when standard debugging only fixes symptoms without revealing the true origin. It provides step-by-step guidance for data-flow checks and boundary logging to resolve complex bugs across API and service layers.