How does this skill differ from standard Claude debugging?

It enforces a strict procedural workflow that prohibits code changes until a root cause is proven with evidence, preventing the common 'guess and check' cycle.

When should I use the Systematic Debugging skill?

Use it for any technical issue including test failures, production bugs, build errors, or unexpected behavior where the solution isn't immediately verifiable through data.

What happens if Claude tries multiple fixes and they all fail?

The skill triggers a mandatory architectural review after three failed attempts, prompting the AI to question the underlying design rather than continuing to patch symptoms.

Does this skill require a specific testing framework?

No, it is framework-agnostic but strongly encourages the creation of minimal reproduction scripts or automated test cases as part of the verification phase.

Can this help with environment-specific deployment issues?

Yes, it includes specific protocols for gathering evidence across component boundaries, such as checking environment variables, secrets, and configuration propagation.

Systematic Debugging

Name: Systematic Debugging
Author: zhengxuyu

byzhengxuyu

0•

Security & Testing

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

The Systematic Debugging skill transforms how Claude handles technical issues by enforcing a strict 'root cause first' mandate. Instead of applying quick patches that mask underlying problems, this skill guides the AI through diagnostic instrumentation, data flow tracing, and minimal hypothesis testing. It is specifically designed to stop 'fix thrashing'—where multiple failed attempts at a solution indicate a deeper architectural issue—ensuring that every code change is backed by evidence and verified with failing test cases.

Key Features

010 GitHub stars

02Provides diagnostic instrumentation patterns for debugging multi-component systems and CI/CD pipelines.

03Ensures all fixes are verified through the creation of minimal, automated failing test cases.

04Enforces a mandatory 'Root Cause Investigation' phase before any code changes are proposed.

05Implements a '3-Fix Rule' that triggers an architectural review if multiple solution attempts fail.

06Integrates backward data-flow tracing to locate the original trigger of deep call-stack errors.

Use Cases

01Investigating intermittent test failures or flaky builds in complex CI/CD environments.

02Debugging data corruption or unexpected state changes in multi-layered microservices.

03Resolving recurring bugs where previous 'quick fixes' failed to address the underlying issue.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zhengxuyu/claude-superpowers systematic-debugging

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Provides diagnostic instrumentation patterns for debugging multi-component systems and CI/CD pipelines.

03Ensures all fixes are verified through the creation of minimal, automated failing test cases.

04Enforces a mandatory 'Root Cause Investigation' phase before any code changes are proposed.

05Implements a '3-Fix Rule' that triggers an architectural review if multiple solution attempts fail.

06Integrates backward data-flow tracing to locate the original trigger of deep call-stack errors.

Use Cases

01Investigating intermittent test failures or flaky builds in complex CI/CD environments.

02Debugging data corruption or unexpected state changes in multi-layered microservices.

03Resolving recurring bugs where previous 'quick fixes' failed to address the underlying issue.