What happens if a fix doesn't work after several tries?

If three or more fix attempts fail, the skill triggers an architectural review. This forces a move away from symptom-fixing toward questioning the fundamental patterns or design of the code.

Does this skill require writing tests?

Yes, Phase 4 requires creating a minimal failing test case that reproduces the bug before the fix is implemented, ensuring the solution is verified and prevents future regressions.

What is the core principle of Systematic Debugging?

The core principle is the 'Iron Law': No fixes are allowed without completing a root cause investigation first. This prevents symptom-masking and ensures the underlying issue is actually resolved.

How does this skill handle bugs in multi-component systems?

It adds diagnostic instrumentation at each component boundary to log data flow. This evidence-based approach pinpoint exactly where the system breaks before any logic changes are proposed.

Systematic Debugging

Name: Systematic Debugging
Author: CoralShades

byCoralShades

0•

Security & Testing

Enforces a rigorous four-phase framework to identify root causes and prevent regression before implementing any code fixes.

The Systematic Debugging skill transforms how Claude approaches technical issues by mandating a root-cause-first methodology. Instead of jumping to quick patches, it guides the AI through an 'Iron Law' process: Root Cause Investigation, Pattern Analysis, Hypothesis Testing, and Implementation. This approach is particularly effective for complex multi-component systems, deep call stack errors, and persistent bugs that have resisted previous fix attempts. By requiring diagnostic evidence and failing test cases before code changes, it eliminates the 'guess-and-check' cycle and ensures high-quality, lasting solutions.

Key Features

01Multi-layer diagnostic instrumentation for complex distributed systems

02Rigorous data flow tracing to find original error triggers

03Architectural red-flag detection after three failed fix attempts

040 GitHub stars

05Mandatory root cause investigation phase before proposing any code changes

06Structured pattern matching against existing working code references

Use Cases

01Resolving legacy bugs where previous 'quick fixes' have failed to work

02Troubleshooting intermittent test failures in complex CI/CD pipelines

03Debugging data corruption issues across multiple service boundaries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add coralshades/currydash-central-hub systematic-debugging

For use in Claude.ai and ChatGPT

Key Features

01Multi-layer diagnostic instrumentation for complex distributed systems

02Rigorous data flow tracing to find original error triggers

03Architectural red-flag detection after three failed fix attempts

040 GitHub stars

05Mandatory root cause investigation phase before proposing any code changes

06Structured pattern matching against existing working code references

Use Cases

01Resolving legacy bugs where previous 'quick fixes' have failed to work

02Troubleshooting intermittent test failures in complex CI/CD pipelines

03Debugging data corruption issues across multiple service boundaries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add coralshades/currydash-central-hub systematic-debugging

For use in Claude.ai and ChatGPT