How does this skill handle multi-component systems?

It uses diagnostic instrumentation at component boundaries to log data entry/exit and verify environmental state at each layer to pinpoint exactly where the system breaks.

Can this skill be used for performance issues?

Yes, the systematic four-phase approach is applicable to any technical issue, including performance bottlenecks, build failures, and integration bugs.

What is the 'Iron Law' of this skill?

The Iron Law dictates that no code fixes should be proposed or implemented until the root cause has been fully investigated, reproduced, and identified.

Does this skill require writing tests?

Yes, Phase 4 of the process requires creating a minimal failing test case before any fix is implemented to ensure the solution actually works and prevents regressions.

What happens if multiple fix attempts fail?

If three or more fixes fail, the skill instructs the developer to stop and question the fundamental architecture rather than attempting further symptoms-based patches.

Root Cause Analysis Debugging

Name: Root Cause Analysis Debugging
Author: jpeggdev

byjpeggdev

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보안 및 테스팅

Implements a rigorous, four-phase systematic debugging framework to identify and resolve the underlying source of technical issues before attempting any code fixes.

The Root Cause skill transforms Claude's debugging behavior from 'guess-and-check' to a scientific, evidence-based methodology. It enforces a strict 'Iron Law' where no fix is proposed until the root cause is definitively identified through diagnostic instrumentation, data flow tracing, and pattern analysis. This approach is particularly effective for complex multi-component systems, intermittent test failures, and architectural issues where shallow patches often lead to regression or wasted development time, ensuring that fixes are permanent and do not introduce new side effects.

주요 기능

01Advanced data flow tracing to locate the original source of bad values in deep call stacks.

02Multi-component diagnostic instrumentation for identifying failures at specific system boundaries.

03Mandatory integration with test-first development to verify fixes with reproducible test cases.

04Automatic architectural red-flag detection triggered after three failed fix attempts.

05Strict four-phase debugging workflow: Investigation, Pattern Analysis, Hypothesis, and Implementation.

060 GitHub stars

사용 사례

01Debugging complex data flow issues in microservices or multi-layered architectures involving APIs and databases.

02Preventing 'fix thrashing' when initial attempts at a bug fix fail to resolve the underlying problem.

03Resolving intermittent CI/CD build failures or mysterious production bugs that lack clear stack traces.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jpeggdev/buildwithjpegg root-cause

For use in Claude.ai and ChatGPT

Download Skill