gstack-openclaw-investigate

Identify root causes of bugs through structured investigation and evidence gathering.

Updated May 11, 2026
One-click install
npx skills add https://github.com/cloudofgeorge/AI-hands --skill gstack-openclaw-investigate-cloudofgeorge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/cloudofgeorge/AI-hands/tree/main/skills/gstack/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/cloudofgeorge/AI-hands --skill gstack-openclaw-investigate-cloudofgeorge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps engineers debug software failures by guiding a disciplined root-cause investigation before making any fixes.

Core Features & Use Cases

  • Structured, phase-based investigation to isolate root cause
  • Systematic evidence gathering and deterministic reproduction
  • Formal verification and comprehensive debug reporting with traceable outputs

Quick Start

Begin with Phase 1: gather symptoms, read the code path, and reproduce deterministically.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
What is root-cause debugging and how does it stop guesswork?

Root-cause debugging isolates the exact origin of a bug through structured investigation and evidence gathering before attempting a fix. It stops guesswork by enforcing deterministic reproduction and formal verification of the failure.

How do I find the root cause of an error before fixing it?

To find the root cause of an error, begin with Phase 1: gather symptoms, read the code path, and reproduce the failure deterministically. Then apply hypothesis testing to systematically isolate the origin of the unpredictable behavior.

What's the best way to debug unpredictable behavior across services?

The best way to debug unpredictable behavior across services is using a phase-based investigation workflow. This approach emphasizes systematic evidence gathering and deterministic reproduction steps to trace failures across code paths.

Can I use structured investigation for stack traces and reproduction steps?

Yes, structured investigation applies directly to errors, stack traces, and reproduction steps. It guides you through hypothesis testing and comprehensive debug reporting to generate traceable outputs for verification.

Does root-cause debugging work without deterministic reproduction?

Root-cause debugging emphasizes deterministic reproduction as a core requirement. Without deterministic reproduction, formal verification of the root cause is unreliable, making the structured investigation workflow less effective at isolating the true origin.

What outputs should I expect from a structured root-cause investigation?

A structured root-cause investigation produces comprehensive debug reporting with traceable outputs. These outputs document the gathered evidence, tested hypotheses, and formal verification of the identified root cause.