When should I use the Systematic Debugger skill?

Use it for any technical issue, including test failures and production bugs, especially when quick patches have failed to resolve the underlying problem.

What is the Iron Law of this debugger skill?

The Iron Law states that no fixes can be proposed or implemented without first completing a thorough root cause investigation to prevent wasted time and new bugs.

What happens if multiple fix attempts fail?

If three or more fixes fail, the process requires stopping to question the underlying architecture and discuss potential refactoring rather than continuing to patch symptoms.

How does this skill handle multi-component systems?

It adds diagnostic instrumentation at component boundaries to log data flow and verify environment propagation before identifying the specific failing component.

Systematic Debugger

Name: Systematic Debugger
Author: darrenhinde

bydarrenhinde

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3,576

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Security & Testing

Enforces a rigorous, four-phase root cause analysis process to eliminate superficial patches and resolve technical issues at their source.

The Systematic Debugger skill provides Claude with a disciplined framework for resolving bugs, performance bottlenecks, and unexpected behaviors by mandating a "Root Cause First" approach. It prevents the common pitfall of trial-and-error fixing by guiding the agent through thorough error analysis, consistent reproduction, diagnostic instrumentation, and minimal hypothesis testing. This skill is essential for maintaining code integrity in complex multi-language systems, ensuring that every fix is validated by a failing test case and verified against potential regressions.

Key Features

01Enforces a mandatory four-phase root cause investigation protocol

02Requires consistent reproduction and failing test cases before code changes

033,576 GitHub stars

04Utilizes scientific hypothesis testing for minimal, targeted fixes

05Implements diagnostic instrumentation for multi-component system analysis

06Identifies architectural red flags to prevent recursive symptom-fixing

Use Cases

01Investigating performance regressions and production bugs

02Diagnosing intermittent test failures in CI/CD pipelines

03Resolving unexpected behavior in complex multi-component integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add darrenhinde/openagentscontrol debugger

For use in Claude.ai and ChatGPT

Key Features

01Enforces a mandatory four-phase root cause investigation protocol

02Requires consistent reproduction and failing test cases before code changes

033,576 GitHub stars

04Utilizes scientific hypothesis testing for minimal, targeted fixes

05Implements diagnostic instrumentation for multi-component system analysis

06Identifies architectural red flags to prevent recursive symptom-fixing

Use Cases

01Investigating performance regressions and production bugs

02Diagnosing intermittent test failures in CI/CD pipelines

03Resolving unexpected behavior in complex multi-component integrations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add darrenhinde/openagentscontrol debugger

For use in Claude.ai and ChatGPT