What is the 'Iron Law' of systematic debugging?

The Iron Law mandates that no fixes can be proposed or implemented until Phase 1 (Root Cause Investigation) is fully completed and the underlying cause is understood.

Is this skill compatible with Test-Driven Development?

Yes, Phase 4 of the process requires creating a minimal, automated failing test case that reproduces the bug before any fix is applied.

How does this skill handle multi-component systems?

It implements diagnostic instrumentation at every component boundary to log data entry/exit and verify environment propagation, pinpointing exactly where a system fails.

Why is a systematic approach better than 'quick fixes'?

Systematic debugging prevents 'thrashing' where patches mask symptoms but create new bugs, ultimately leading to faster resolution times and higher code quality.

What happens if multiple fix attempts fail?

If three or more fixes fail, the framework triggers a mandatory architectural review to determine if the issue is a fundamental design flaw rather than a simple bug.

Systematic Debugging Framework

Name: Systematic Debugging Framework
Author: dsifry

bydsifry

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Security & Testing

Implements a rigorous four-phase framework to identify root causes and eliminate bugs through scientific investigation rather than trial and error.

The Systematic Debugging skill transforms the troubleshooting process from guesswork into a deterministic methodology. By enforcing a strict sequence of root cause investigation, pattern analysis, hypothesis testing, and implementation, it ensures that Claude understands the 'why' before attempting a 'how.' This approach is particularly effective for complex, multi-component systems where symptoms appear far from their source, significantly reducing thrashed PRs and preventing the introduction of secondary bugs.

Key Features

01Diagnostic instrumentation for tracing errors across multi-component system boundaries

02Four-phase scientific debugging framework: Investigation, Pattern, Hypothesis, and Implementation

03Architectural assessment triggers that prevent infinite fix loops after three failed attempts

0429 GitHub stars

05Strict 'Iron Law' requiring verified root cause identification before any code changes

06Integrated Test-Driven Development (TDD) requirements for mandatory bug verification

Use Cases

01Investigating performance regressions and unexpected production behavior with diagnostic evidence

02Resolving intermittent test failures and race conditions in complex CI/CD pipelines

03Debugging silent data flow issues in microservices or multi-layered architectures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dsifry/goodtogo systematic-debugging

For use in Claude.ai and ChatGPT

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