When should I use this skill instead of just asking Claude for a fix?

You should use it for any technical issue, especially when you're under time pressure, when a previous fix has already failed, or when you don't fully understand why the code is behaving unexpectedly.

What happens if three or more fix attempts fail?

If three or more fixes fail, the skill flags a potential architectural problem. It stops the debugging loop and prompts a discussion on whether the underlying pattern or design is fundamentally sound.

What is the core principle of the Systematic Debugging skill?

The core principle is 'No fixes without root cause investigation first.' It prevents developers from wasting time on random patches that only mask symptoms without solving the underlying issue.

How does the process handle multi-component systems?

The skill mandates diagnostic instrumentation at every component boundary. It logs data as it enters and exits each layer to provide concrete evidence of exactly where the chain of execution breaks.

Systematic Debugging

Name: Systematic Debugging
Author: dkyazzentwatwa

bydkyazzentwatwa

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Seguridad y Pruebas

Enforces a rigorous four-phase root cause analysis process to identify and resolve software bugs before any code changes are proposed.

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Systematic Debugging is a specialized Claude Code skill designed to eliminate 'guess-and-check' programming by enforcing a strict, evidence-based diagnostic workflow. It guides the AI through four mandatory phases: root cause investigation, pattern analysis, hypothesis testing, and implementation. By requiring detailed diagnostic instrumentation and data flow tracing before proposing fixes, this skill ensures that underlying issues are resolved rather than merely masking symptoms. It is particularly effective for complex multi-component systems where failures often occur at boundaries or within environmental configurations.

Características Principales

Multi-layer diagnostic instrumentation for complex systems
Pattern comparison against working reference implementations
Mandatory 4-phase debugging workflow
Evidence-based root cause investigation
Architectural flaw detection for recurring failures
29 GitHub stars

Casos de Uso

Identifying environmental or configuration-based production bugs
Debugging intermittent issues in multi-component microservices
Resolving complex test failures in CI/CD pipelines

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Características Principales

Multi-layer diagnostic instrumentation for complex systems
Pattern comparison against working reference implementations
Mandatory 4-phase debugging workflow
Evidence-based root cause investigation
Architectural flaw detection for recurring failures
29 GitHub stars

Casos de Uso

Identifying environmental or configuration-based production bugs
Debugging intermittent issues in multi-component microservices
Resolving complex test failures in CI/CD pipelines