Why use systematic debugging instead of quick fixes?

Quick fixes often mask underlying issues and lead to regressions. This skill ensures you identify the root cause first, which is actually faster than 'guess-and-check' thrashing.

Is this skill compatible with my current testing framework?

Yes, it is designed to work alongside any testing framework and even includes logic for creating one-off test scripts if a framework isn't available.

What happens if a fix doesn't work after multiple attempts?

If three or more fixes fail, the skill triggers an architectural review phase, helping you determine if the problem is a fundamental design flaw rather than a simple bug.

Does it work for multi-component or microservice systems?

Absolutely. It includes specific protocols for gathering evidence at component boundaries (API, database, CI/CD) to isolate exactly where a failure occurs.

Systematic Debugging

Name: Systematic Debugging
Author: EricOo0

byEricOo0

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보안 및 테스팅

Enforces a rigorous, four-phase methodology to identify root causes and implement reliable fixes for software bugs.

소개

Systematic Debugging is a specialized Claude Code skill designed to eliminate 'guess-and-check' programming by mandating a root-cause-first approach. It guides developers through a disciplined four-phase workflow—Investigation, Pattern Analysis, Hypothesis Testing, and Implementation—ensuring that every bug is fully understood before a single line of fix code is written. This skill is particularly valuable during high-pressure incidents, complex integration failures, or when previous fix attempts have failed, helping to prevent the introduction of regressions and technical debt through architectural questioning.

주요 기능

Mandatory architectural questioning after three failed fix attempts
Integration with Test-Driven Development for verified resolutions
Advanced data flow tracing to locate original bug triggers
Enforces the 'Iron Law' of no fixes without root cause investigation
Multi-component diagnostic instrumentation for tracing errors across boundaries
6 GitHub stars

사용 사례

Analyzing performance bottlenecks and unexpected system behavior
Resolving complex test failures that persist after multiple patch attempts
Debugging intermittent production failures in distributed systems

소개

주요 기능

Mandatory architectural questioning after three failed fix attempts
Integration with Test-Driven Development for verified resolutions
Advanced data flow tracing to locate original bug triggers
Enforces the 'Iron Law' of no fixes without root cause investigation
Multi-component diagnostic instrumentation for tracing errors across boundaries
6 GitHub stars

사용 사례

Analyzing performance bottlenecks and unexpected system behavior
Resolving complex test failures that persist after multiple patch attempts
Debugging intermittent production failures in distributed systems