gstack-openclaw-investigate

Diagnose software bug root causes through a four-phase structured investigation.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/bizzybae/qstack --skill gstack-openclaw-investigate-bizzybae
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/bizzybae/qstack/tree/main/gstack-original/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/bizzybae/qstack --skill gstack-openclaw-investigate-bizzybae

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with root-cause investigation reduces debugging time by ensuring every fix targets the actual cause rather than symptoms.

Core Features & Use Cases

  • Four-phase methodology (investigate, analyze, hypothesize, implement) to structure debugging sessions.
  • Root-cause hypothesis generation and evidence collection (logs, traces, changes) to guide fixes.
  • Structured outputs (debug reports) for handoffs to development or QA and for post-mortem analysis.

Quick Start

Initiate the four-phase debugging workflow on a reported issue to generate a root-cause hypothesis and a step-by-step resolution plan.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
What is a structured root-cause debugging workflow and when do I need it?

A structured root-cause debugging workflow systematically diagnoses software bugs through evidence collection and hypothesis generation rather than symptom patching, needed when recurring issues require thorough post-mortem analysis.

How do I conduct a systematic software investigation for a complex bug?

Conduct a systematic software investigation by following four phases: investigate the reported issue, analyze gathered evidence, hypothesize the root cause, and implement a resolution plan with structured outputs.

Can I use this debugging methodology for post-mortem analysis in any software project size?

Yes, this debugging methodology is applicable across debugging tasks and error investigations in software projects of varied sizes, generating structured debug reports suitable for post-mortem analysis and team handoffs.

What's the best way to generate a debug report for a root-cause hypothesis?

Generate a debug report by collecting evidence like logs and traces, formulating a root-cause hypothesis during the analysis phase, and documenting the step-by-step resolution plan for development handoffs.

Why does fixing software bug symptoms instead of the root cause fail?

Fixing symptoms fails because the underlying root cause remains unresolved, leading to recurring bugs; a structured investigation mandates root-cause hypothesis generation to ensure every fix targets the actual problem.