What happens if three or more fixes have already failed?

The skill identifies this as a red flag for architectural issues, prompting a stop in the process to re-evaluate the system design before attempting more changes.

How does this skill handle multi-component systems?

It enforces logging and data verification at every component boundary (such as API to Database) to pinpoint exactly where the failure originates.

When should I use this Claude Code skill?

Use it whenever you encounter technical issues, especially under time pressure or when previous 'quick fixes' have failed to resolve the underlying problem.

What is the 'Iron Law' of systematic debugging?

The Iron Law dictates that no fixes should be proposed or implemented until a full root cause investigation is completed to prevent masking symptoms.

Does it help with timing-related bugs?

Yes, it provides a 'Condition-Based Waiting' pattern to replace unreliable sleep timers with robust polling logic for asynchronous operations.

Systematic Debugging

Name: Systematic Debugging
Author: Asmayaseen

byAsmayaseen

보안 및 테스팅

Implements a rigorous, phase-based methodology to identify root causes and resolve technical issues without trial-and-error.

소개

Systematic Debugging provides a structured framework for Claude to tackle complex bugs, test failures, and regression issues by enforcing a "root cause first" approach. It guides the AI through four distinct phases—Root Cause Investigation, Pattern Analysis, Hypothesis Testing, and Implementation—ensuring that fixes address underlying problems rather than just masking symptoms. This skill is particularly valuable in high-pressure environments where quick patches often lead to architectural debt or cascading failures, promoting more stable and maintainable code through evidence-based troubleshooting.

주요 기능

Multi-component boundary logging and data-flow tracing for complex systems
0 GitHub stars
Strict four-phase debugging framework: Investigation, Analysis, Hypothesis, and Implementation
Defense-in-depth strategies for multi-layer validation and regression prevention
Iron Law enforcement requiring validated root cause identification before proposing fixes
Architectural red flag detection to prevent trial-and-error fix stacking

사용 사례

Resolving intermittent or 'flaky' test failures using robust condition-based waiting techniques.
Debugging regressions in multi-component systems by tracing data flow across API and service boundaries.
Evaluating architectural integrity when traditional bug fixes result in cascading secondary failures.

소개

주요 기능

Multi-component boundary logging and data-flow tracing for complex systems
0 GitHub stars
Strict four-phase debugging framework: Investigation, Analysis, Hypothesis, and Implementation
Defense-in-depth strategies for multi-layer validation and regression prevention
Iron Law enforcement requiring validated root cause identification before proposing fixes
Architectural red flag detection to prevent trial-and-error fix stacking

사용 사례

Resolving intermittent or 'flaky' test failures using robust condition-based waiting techniques.
Debugging regressions in multi-component systems by tracing data flow across API and service boundaries.
Evaluating architectural integrity when traditional bug fixes result in cascading secondary failures.