What is the 'defense-in-depth' approach mentioned in the skill?

It refers to adding validation checks at multiple layers of your application to ensure that if a bug is introduced, it is caught immediately by the nearest validation guard.

What is Root Cause Tracing in the context of Claude Code?

It is a specialized skill that teaches Claude to systematically move backward from where an error manifests to find the initial piece of code or data that triggered the failure.

When should I use this skill instead of a standard debugger?

Use it when errors occur deep in execution, involve complex asynchronous call chains, or when the source of invalid data is obscured by many layers of abstraction.

How does this skill help with test pollution?

It provides a specific bisection strategy and script references to isolate which specific test is modifying the environment and causing subsequent tests to fail.

Does this skill work with all programming languages?

Yes, while the provided examples use TypeScript, the principles of stack tracing, instrumentation, and bisection apply to all modern programming environments.

Root Cause Tracing

Name: Root Cause Tracing
Author: GGPrompts

byGGPrompts

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Seguridad y Pruebas

Systematically traces software bugs backward through the call stack to identify and resolve original triggers at their source.

Acerca de

The Root Cause Tracing skill empowers developers to move beyond fixing symptoms by providing a structured methodology for navigating complex call chains and deep execution errors. It guides users through the process of observing symptoms, instrumenting code with manual stack traces, and utilizing bisection scripts to identify elusive issues like test pollution. By emphasizing source-level fixes and the implementation of multi-layered defense-in-depth validation, this skill ensures that bugs are eliminated permanently rather than just patched where they appear.

Características Principales

Step-by-step backward call stack tracing methodology
Code instrumentation patterns for capturing detailed stack traces
Test pollution identification using automated bisection techniques
2 GitHub stars
Defense-in-depth strategy for multi-layered bug prevention
Practical debugging patterns for complex asynchronous environments

Casos de Uso

Resolving environment pollution where one test causes random failures in others
Standardizing debugging workflows for deep execution errors in large codebases
Identifying the source of invalid data passed through multiple function layers

Acerca de

Características Principales

Step-by-step backward call stack tracing methodology
Code instrumentation patterns for capturing detailed stack traces
Test pollution identification using automated bisection techniques
2 GitHub stars
Defense-in-depth strategy for multi-layered bug prevention
Practical debugging patterns for complex asynchronous environments

Casos de Uso

Resolving environment pollution where one test causes random failures in others
Standardizing debugging workflows for deep execution errors in large codebases
Identifying the source of invalid data passed through multiple function layers