What happens if a bug isn't easily reproducible?

The skill instructs Claude to gather more data and add diagnostic instrumentation across component boundaries instead of guessing at a solution.

How does this skill improve AI coding efficiency?

By preventing 'symptom-fixing' and 'thrashing,' the skill reduces the time spent on trial-and-error changes, leading to a higher first-time fix rate and fewer regressions.

What is the Systematic Debugging skill for Claude Code?

It is a specialized capability that enforces a structured four-phase process (Root Cause, Pattern, Hypothesis, Implementation) to ensure AI-driven fixes are based on evidence rather than assumptions.

Can this skill be used with existing testing frameworks?

Yes, it integrates with test-driven development (TDD) by requiring the creation of a failing test case before a fix is implemented.

What is the '3-fix limit' in this skill?

If three attempts to fix a bug fail, the skill triggers a mandatory architectural review, helping you identify if the underlying system design is fundamentally flawed.

Systematic Debugging

Name: Systematic Debugging
Author: julianromli

byjulianromli

•

Security & Testing

Enforces a disciplined, four-phase investigation process to identify root causes before attempting code fixes.

The Systematic Debugging skill for Claude Code eliminates inefficient 'guess-and-check' workflows by mandating a rigorous scientific approach to troubleshooting. It guides the AI through four mandatory phases: Root Cause Investigation, Pattern Analysis, Hypothesis Testing, and Implementation. By requiring evidence gathering, data flow tracing, and consistent reproduction before any code is modified, this skill ensures that fixes address the underlying architecture rather than just masking symptoms. It is particularly effective for complex, multi-component systems where intermittent failures or regression loops frequently occur.

Key Features

01Strict 'No Fixes Without Root Cause' enforcement policy

02Automated data flow tracing to locate original bug triggers

03Mandatory architectural questioning after three failed fix attempts

04Multi-layer diagnostic instrumentation for complex system boundaries

0512 GitHub stars

06Scientific hypothesis testing to isolate variables during troubleshooting

Use Cases

01Debugging data corruption issues across multiple microservices

02Resolving intermittent test failures in complex CI/CD pipelines

03Investigating production performance bottlenecks with evidence-based tracing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add julianromli/opencode-template systematic-debugging

For use in Claude.ai and ChatGPT

Download Skill