debugging

Enforce a verifier-driven workflow to isolate software faults before fixes.

17|2|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/ProteoWizard/pwiz-ai --skill debugging-proteowizard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugging
Source: https://github.com/ProteoWizard/pwiz-ai/tree/main/claude/skills/debugging
Command: npx skills add https://github.com/ProteoWizard/pwiz-ai --skill debugging-proteowizard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ALWAYS load when investigating bugs, failures, or unexpected behavior to ensure root-cause analysis before attempting fixes.

Core Features & Use Cases

  • Verifier-driven diagnostics: build verifiable signals (failing tests, printf lines, diffs) to anchor conclusions.
  • Documentation-guided workflows: points to debugging principles and leak-debugging resources to guide investigations.
  • Mode transitions: clearly separates debugging from development mode and accelerates isolation of issues.

Quick Start

Activate debugging mode when you encounter unexpected behavior and begin by instrumenting code and creating a failing test to isolate the root cause.

Frequently Asked Questions about debugging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the root cause of an intermittent software failure?

Root-cause debugging isolates intermittent software failures by enforcing a verifier-driven workflow that requires structured instrumentation and deterministic observations to validate conclusions before fixes are attempted.

What is verifier-driven debugging and how does it work?

Verifier-driven debugging works by building verifiable signals, such as failing tests or diffs, to anchor conclusions and ensure root-cause analysis is validated against clear acceptance criteria.

How to start debugging unexpected behavior in production diagnostics?

Start debugging unexpected behavior by transitioning into debugging mode, instrumenting the code, and creating a failing test to isolate the root cause before applying any fixes.

Can I use this debugging workflow for bug hunts in development and testing?

Yes, this debugging workflow applies to bug hunts and failure investigations across development, testing, and production diagnostics, using documentation-guided principles to accelerate issue isolation.

What are the limitations of a verifier-driven debugging approach?

This debugging approach requires structured instrumentation and deterministic observations, meaning investigations lacking clear acceptance criteria or observable signals may struggle to validate the root-cause effectively.