Systematic Debugging

About

This skill provides Claude with a structured framework for technical problem-solving, enforcing the 'Iron Law' of identifying the root cause before attempting any code changes. It guides the AI through systematic error message analysis, consistent reproduction, diagnostic instrumentation for multi-component systems, and pattern comparison. By following this disciplined approach, users can avoid 'whack-a-mole' debugging, reduce the risk of introducing new bugs, and ensure that fixes are both effective and permanent.

Key Features

• Diagnostic instrumentation patterns for complex, multi-layered system boundaries
• Architectural evaluation triggers to identify structural issues after repeated fix failures
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• Data flow tracing techniques to identify original triggers in deep call stacks
• Four-phase debugging framework: Root Cause, Pattern Analysis, Hypothesis, and Implementation
• Iron Law enforcement to prevent premature code patches and symptom-only fixes

Use Cases

• Investigating production bugs where the underlying cause is masked by several layers of abstraction
• Solving integration issues across multi-component architectures and microservices
• Debugging persistent or intermittent test failures in complex CI/CD pipelines