bee:root-cause-tracing

Trace backward call chains to identify root causes of execution bugs.

2|1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/luanrodrigues/ia-frmwrk --skill bee-root-cause-tracing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bee:root-cause-tracing
Source: https://github.com/luanrodrigues/ia-frmwrk/tree/main/default/skills/root-cause-tracing
Command: npx skills add https://github.com/luanrodrigues/ia-frmwrk --skill bee-root-cause-tracing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • Backward Call-Chain Tracing: Follow the execution path backward from an error to pinpoint the initial trigger.
  • Instrumentation Guidance: Provides strategies for adding temporary logging and stack traces when manual tracing is insufficient.
  • Use Case: When an error like "git init failed in /Users/jesse/project/packages/core" appears, this Skill guides you to trace back through the call stack to find that an empty projectDir variable was passed due to an initialization issue, allowing you to fix the problem at its source rather than just where the error is observed.

Quick Start

Use the root-cause-tracing skill to trace the origin of the 'git init failed' error.

Frequently Asked Questions about bee: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 original trigger in the call stack?

Backward call-chain tracing identifies the original trigger of bugs manifesting deep within execution stacks by following the execution path backward from the error symptom to locate faulty initial conditions or data flows.

What is the best way to debug an error that appears far from its source?

The best way to debug errors appearing far from their source is systematically unwinding the call stack to identify the original trigger, preventing superficial fixes by addressing the faulty initial conditions or data flows directly.

How do I add instrumentation to trace an execution flow for bug fixing?

You add instrumentation to trace execution flow by inserting temporary logging and stack traces when manual call-chain tracing is insufficient, capturing the execution path to locate the root cause of errors.

When do I need backward call-chain tracing for root cause analysis?

You need backward call-chain tracing when symptoms appear far from the source in complex debugging scenarios, requiring systematic unwinding of the call stack to identify faulty initial conditions or data flows.

Why does fixing an error where it occurs sometimes not solve the bug?

Fixing an error where it occurs fails when the symptom manifests deep within the execution stack far from the actual source, leaving the original trigger or faulty initial conditions unresolved and causing recurring issues.