How does this skill help with multi-component systems?

It provides standardized patterns for adding diagnostic instrumentation at component boundaries to verify data integrity as it passes through different layers of your stack.

When should I use the Systematic Debugging skill?

Use it for any technical issue including test failures, performance bottlenecks, or build errors, especially when you feel pressured to apply a 'quick fix' without full understanding.

What happens if multiple fix attempts fail?

The skill includes an 'Iron Law' that triggers an architectural review after three failed fix attempts, helping you recognize when a pattern is fundamentally unsound rather than just broken.

What makes systematic debugging different from standard bug fixing?

It forbids proposing any solution until the root cause is proven through evidence and reproduction, preventing the 'guess-and-check' thrashing that often introduces new bugs.

Systematic Debugging

Name: Systematic Debugging
Author: abudhahir

byabudhahir

•

보안 및 테스팅

Enforces a rigorous four-phase root cause analysis process to eliminate guesswork and prevent recurring software bugs.

소개

The Systematic Debugging skill transforms how Claude approaches troubleshooting by mandating a strict 'no fixes without root cause' policy. It moves beyond symptomatic patching by guiding the AI through deep error investigation, multi-layer diagnostic instrumentation, and scientific hypothesis testing. This skill is essential for resolving complex issues in distributed systems, CI/CD pipelines, and legacy codebases where surface-level symptoms often mask deeper architectural failures, ensuring that every fix is verified and permanent.

주요 기능

Diagnostic instrumentation patterns for multi-component systems and environment boundaries
Architectural red-flag detection that triggers fundamental reviews after failed fix attempts
1 GitHub stars
Strict 4-phase debugging framework: Investigation, Pattern, Hypothesis, and Implementation
Recursive data flow tracing to identify the origin of corrupted state
Seamless integration with Test-Driven Development for verified bug resolution

사용 사례

Troubleshooting intermittent failures in complex CI/CD pipelines or microservices
Identifying the source of regressions in large codebases with deep call stacks
Root cause analysis for production bugs where previous 'quick fixes' have failed

소개

주요 기능

Diagnostic instrumentation patterns for multi-component systems and environment boundaries
Architectural red-flag detection that triggers fundamental reviews after failed fix attempts
1 GitHub stars
Strict 4-phase debugging framework: Investigation, Pattern, Hypothesis, and Implementation
Recursive data flow tracing to identify the origin of corrupted state
Seamless integration with Test-Driven Development for verified bug resolution

사용 사례

Troubleshooting intermittent failures in complex CI/CD pipelines or microservices
Identifying the source of regressions in large codebases with deep call stacks
Root cause analysis for production bugs where previous 'quick fixes' have failed