How does this skill handle multi-component systems?

It implements diagnostic instrumentation at every component boundary, logging data entry/exit and environment state to pinpoint exactly where the failure occurs.

Why does this skill forbid fixes before investigation?

Fixing symptoms without finding the root cause often leads to regression bugs and masked issues. A systematic approach ensures the actual problem is solved permanently.

Is this debugging process slower than manual fixing?

While it requires more initial analysis, it is significantly faster in the long run by reducing 'thrashing' and the introduction of new bugs.

What happens if multiple fix attempts fail?

If three or more fixes fail, the skill mandates an architectural review to determine if the underlying pattern is fundamentally flawed rather than just buggy.

Systematic Debugging Framework

Name: Systematic Debugging Framework
Author: Krosebrook

byKrosebrook

•

開発者ツール

Implements a rigorous four-phase framework to identify root causes and resolve technical issues without guesswork or regressions.

概要

The Systematic Debugging skill provides Claude with a disciplined methodology for troubleshooting software defects, preventing the inefficient 'guess-and-check' cycle that often leads to technical debt. By enforcing a mandatory root cause investigation phase before any code changes are proposed, this skill ensures that bugs are understood at a fundamental level across multi-component systems. It guides the AI through structured evidence gathering, pattern analysis, and minimal hypothesis testing, leading to robust implementations validated by automated tests.

主な機能

Identifies architectural red flags when repeated fix attempts fail to resolve an issue
1 GitHub stars
Structured 4-phase workflow: Investigation, Pattern Analysis, Hypothesis, and Implementation
Integrated Test-Driven Development (TDD) requirements for verifying all fixes
Enforces a 'Root Cause First' rule to prevent superficial patches and mask symptoms
Provides diagnostic instrumentation strategies for complex, multi-layer system boundaries

ユースケース

Resolving intermittent test failures and race conditions in complex CI/CD pipelines
Investigating 'mysterious' production bugs where previous quick-fix attempts have failed
Troubleshooting data flow and state propagation issues in microservices and multi-component systems

概要

主な機能

Identifies architectural red flags when repeated fix attempts fail to resolve an issue
1 GitHub stars
Structured 4-phase workflow: Investigation, Pattern Analysis, Hypothesis, and Implementation
Integrated Test-Driven Development (TDD) requirements for verifying all fixes
Enforces a 'Root Cause First' rule to prevent superficial patches and mask symptoms
Provides diagnostic instrumentation strategies for complex, multi-layer system boundaries

ユースケース

Resolving intermittent test failures and race conditions in complex CI/CD pipelines
Investigating 'mysterious' production bugs where previous quick-fix attempts have failed
Troubleshooting data flow and state propagation issues in microservices and multi-component systems