What happens if multiple fix attempts fail?

After three failed attempts, the skill triggers an architectural review to determine if the problem is a fundamental design flaw rather than a simple bug, prompting a discussion with the human partner.

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 'symptom-only' patching that masks larger issues.

How does this skill handle complex, multi-layered systems?

It uses diagnostic instrumentation at component boundaries (such as API to database or workflow to build script) to log data entry/exit and identify exactly where the chain of execution fails.

Does this skill work with existing testing frameworks?

Yes, it specifically requires creating a failing test case (Phase 4) using your preferred framework before any fix is applied, ensuring the bug is reproducible and the fix is verified.

Systematic Debugging

Name: Systematic Debugging
Author: monmacllcapp

bymonmacllcapp

0•

安全与测试

Implements a rigorous four-phase framework to identify root causes and eliminate trial-and-error debugging during development.

Systematic Debugging provides a structured methodology for Claude to handle bugs, test failures, and unexpected behaviors by prioritizing root cause analysis over quick patches. By following an 'Iron Law' of no fixes before investigation, it guides developers through reproduction, evidence gathering in multi-component systems, and data flow tracing. This skill is essential for maintaining code integrity, reducing technical debt, and stopping the cycle of 'fix thrashing' where one change inadvertently creates new issues or masks underlying architectural flaws.

主要功能

01Backward data flow tracing to locate the original source of erroneous values

02Strict integration with Test-Driven Development (TDD) to ensure verified resolutions

030 GitHub stars

04Four-phase debugging workflow: Investigation, Pattern Analysis, Hypothesis, and Implementation

05Diagnostic instrumentation for evidence gathering across multi-component system boundaries

06Automated architectural sanity checks triggered after repeated failed fix attempts

使用场景

01Resolving intermittent failures in complex CI/CD pipelines or distributed microservices

02Standardizing troubleshooting processes for teams to reduce time-to-fix and technical debt

03Troubleshooting 'voodoo' bugs where standard patches have failed or caused regressions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add monmacllcapp/skill-forks systematic-debugging

For use in Claude.ai and ChatGPT

主要功能

01Backward data flow tracing to locate the original source of erroneous values

02Strict integration with Test-Driven Development (TDD) to ensure verified resolutions

030 GitHub stars

04Four-phase debugging workflow: Investigation, Pattern Analysis, Hypothesis, and Implementation

05Diagnostic instrumentation for evidence gathering across multi-component system boundaries

06Automated architectural sanity checks triggered after repeated failed fix attempts

使用场景

01Resolving intermittent failures in complex CI/CD pipelines or distributed microservices

02Standardizing troubleshooting processes for teams to reduce time-to-fix and technical debt

03Troubleshooting 'voodoo' bugs where standard patches have failed or caused regressions