Does this skill provide templates for documentation?

Yes, it includes a standardized Debug Document Template to ensure consistent knowledge preservation across a development team.

Is this skill restricted to the Breenix kernel?

While it draws patterns from Breenix, the systematic debugging principles and documentation templates are applicable to any complex systems-level programming project.

What is the core debugging pattern used in this skill?

The skill follows a four-phase document-driven pattern: Problem (symptoms), Root Cause (deep analysis), Solution (implementation details), and Evidence (proof of fix).

When is it appropriate to use the Systematic Debugging skill?

It is best used for complex issues that require design changes, bugs that are hard to reproduce, or any investigation that takes longer than two hours to solve.

Can this skill help with CI failure analysis?

Yes, it provides specific guidance for analyzing CI test failures and extracting evidence from logs to verify successful resolutions.

Systematic Kernel Debugging

Name: Systematic Kernel Debugging
Author: ryanbreen

byryanbreen

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Security & Testing

Implements a document-driven workflow for investigating and resolving complex kernel-level bugs and architectural failures.

About

This skill provides a rigorous framework for tackling high-stakes software failures, specifically optimized for kernel development and systems programming. By enforcing the 'Problem, Root Cause, Solution, Evidence' pattern, it ensures that bugs are not just patched but deeply understood, documented, and verified. It is particularly valuable when dealing with intermittent race conditions, hardware-software interface issues, and architectural regressions where a simple code change is insufficient for a permanent fix.

Key Features

Four-phase documentation pattern (Problem, Root Cause, Solution, Evidence)
Evidence collection guidelines for before-and-after verification
4 GitHub stars
Integration workflows for kernel-specific debugging scripts
Structured templates for root cause analysis and technical investigation
Post-mortem frameworks for capturing architectural lessons learned

Use Cases

Resolving complex kernel hangs, double faults, or memory corruption
Investigating architectural failures in low-level systems and drivers
Creating high-quality technical documentation for recurring or difficult bugs

About

Key Features

Four-phase documentation pattern (Problem, Root Cause, Solution, Evidence)
Evidence collection guidelines for before-and-after verification
4 GitHub stars
Integration workflows for kernel-specific debugging scripts
Structured templates for root cause analysis and technical investigation
Post-mortem frameworks for capturing architectural lessons learned

Use Cases

Resolving complex kernel hangs, double faults, or memory corruption
Investigating architectural failures in low-level systems and drivers
Creating high-quality technical documentation for recurring or difficult bugs