Can this skill help with race conditions?

Yes, it includes patterns to identify if a bug's root is in shared state design or state transition logic rather than just a specific access point.

Does it integrate with other Claude Code plugins?

Yes, it is designed to work alongside assumption-checkers and dependency-validators to verify if the root cause stems from a false premise or external failure.

What is the difference between symptom patching and root cause tracing?

Symptom patching adds a workaround at the crash site (like a null check), while root cause tracing finds and fixes why that null value was created in the first place.

When should I use the Root Cause Tracing skill?

Use it during any bug-fixing task to ensure you are addressing the foundational logic error rather than just masking the visible error message.

How does this skill improve code quality?

It reduces technical debt by preventing 'guard stacking'—the practice of adding unnecessary conditional checks—leading to cleaner and more maintainable architecture.

Root Cause Tracing

Name: Root Cause Tracing
Author: a-ariff

bya-ariff

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Seguridad y Pruebas

Diagnoses software defects by tracing errors backward to their source instead of applying superficial symptom-level patches.

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Root Cause Tracing empowers developers and AI agents to solve bugs at the logical level by systematically following data flow and state changes back to their point of origin. By prioritizing the 'disease' over the 'symptom,' this skill eliminates technical debt caused by guard-stacking and temporary workarounds. It provides a structured framework for identifying logic errors, incorrect initial states, and broken invariants, ensuring that every fix is permanent, robust, and addresses the actual failure point within the system architecture.

Características Principales

Identification of root causes in race conditions and state transitions
1 GitHub stars
Anti-pattern detection to prevent symptom patching and guard stacking
Verification protocols to confirm the fix eliminates the entire error chain
Diagnostic checklists to differentiate symptoms from origins
Backward Trace Method for systematic source identification

Casos de Uso

Investigating intermittent production bugs where the error location isn't the origin
Refactoring legacy codebases to remove layers of defensive 'guard' patches
Debugging complex data flow issues in asynchronous or state-heavy applications

Acerca de

Características Principales

Identification of root causes in race conditions and state transitions
1 GitHub stars
Anti-pattern detection to prevent symptom patching and guard stacking
Verification protocols to confirm the fix eliminates the entire error chain
Diagnostic checklists to differentiate symptoms from origins
Backward Trace Method for systematic source identification

Casos de Uso

Investigating intermittent production bugs where the error location isn't the origin
Refactoring legacy codebases to remove layers of defensive 'guard' patches
Debugging complex data flow issues in asynchronous or state-heavy applications