Is this skill compatible with Test-Driven Development (TDD)?

Absolutely. It integrates with TDD by requiring the creation of a failing test case in the final phase to verify the fix and prevent future regressions.

How does this skill prevent trial-and-error fixing?

It enforces an 'Iron Law' that requires completed root cause investigation and evidence gathering before any code modifications are permitted, ensuring the actual problem is understood first.

What happens if multiple fix attempts fail?

If three or more fixes fail, the skill triggers an architectural review phase, prompting you to question if the underlying pattern or system design is fundamentally flawed.

Does it support debugging distributed or multi-layer systems?

Yes, it includes specific protocols for adding diagnostic instrumentation at component boundaries to trace data flow and identify exactly where a failure occurs in complex stacks.

Systematic Debugging

Name: Systematic Debugging
Author: ironbob

byironbob

0•

安全与测试

Enforces a rigorous, root-cause-first methodology to eliminate trial-and-error bug fixing and ensure long-term code stability.

This skill transforms Claude's debugging approach from reactive patching to a scientific process by mandating a root cause investigation before any code changes are proposed. It utilizes multi-component diagnostic instrumentation and data flow tracing to isolate issues within complex systems. By following a four-phase framework—Root Cause, Pattern Analysis, Hypothesis Testing, and Implementation—it prevents 'thrashing,' minimizes regressions, and identifies when an issue requires a fundamental architectural rethink rather than a simple patch.

主要功能

01Mandatory root cause investigation protocol before proposing fixes

02Multi-layer diagnostic instrumentation for complex system boundaries

030 GitHub stars

04Architectural red-flag detection for recurring or persistent failures

05Pattern analysis against existing working references in the codebase

06Scientific hypothesis testing using minimal variable changes

使用场景

01Resolving persistent bugs that have resisted previous 'quick fix' attempts

02Investigating deep-stack data corruption issues in microservices

03Debugging complex race conditions or integration failures in CI/CD pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ironbob/superpower_light systematic-debugging

For use in Claude.ai and ChatGPT

主要功能

01Mandatory root cause investigation protocol before proposing fixes

02Multi-layer diagnostic instrumentation for complex system boundaries

030 GitHub stars

04Architectural red-flag detection for recurring or persistent failures

05Pattern analysis against existing working references in the codebase

06Scientific hypothesis testing using minimal variable changes

使用场景

01Resolving persistent bugs that have resisted previous 'quick fix' attempts

02Investigating deep-stack data corruption issues in microservices

03Debugging complex race conditions or integration failures in CI/CD pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ironbob/superpower_light systematic-debugging

For use in Claude.ai and ChatGPT