gstack-openclaw-investigate

Investigate bugs through a four-phase root-cause analysis workflow.

Updated Apr 12, 2026

Search Tags:#debugging #documentation #investigation #verification #hypothesis #root-cause #reproduction

Ready to run

npx skills add https://github.com/adryanmoldokkr32-pixel/gstack --skill gstack-openclaw-investigate-adryanmoldokkr32-pixel

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/adryanmoldokkr32-pixel/gstack/tree/main/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/adryanmoldokkr32-pixel/gstack --skill gstack-openclaw-investigate-adryanmoldokkr32-pixel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging that enforces root-cause investigation before fixes, reducing rework and brittle patches.

Core Features & Use Cases

Four-phase workflow: investigate, analyze, hypothesize, implement, with a clear root-cause outcome.
Emphasizes evidence gathering, reproducible steps, and traceability to guide robust fixes.
Use case: when users report errors, stack traces, or unexpected behavior, apply the Iron Law to identify and fix the root cause.

Quick Start

Begin root-cause debugging by collecting symptoms, tracing the code path, and documenting findings before proposing fixes.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema

What is systematic root-cause debugging and why is it important?▼

Systematic root-cause debugging is a structured approach that enforces investigation before fixes, reducing rework and brittle patches. It identifies underlying causes through evidence gathering and reproducible steps, ensuring robust verification of the actual issue.

How do I investigate a bug to identify its underlying cause?▼

Investigate bugs by following a four-phase process: investigate, analyze, hypothesize, and implement. Start by collecting symptoms, tracing code paths, and documenting findings before proposing fixes to ensure reproducibility and structured root-cause identification.

How do I document a root-cause hypothesis for a reported error?▼

Document a root-cause hypothesis by gathering evidence, defining reproducible steps, and maintaining traceability. This formal output guides fixes and verification by structuring the underlying causes identified during code path investigation and analysis.

Can I apply structured debugging to both codebases and live systems?▼

Yes, structured debugging applies to both codebases and live systems. The process utilizes disciplined logging and traceability across environments to identify underlying causes and guide robust fixes for unexpected behavior and errors.

Does root-cause debugging require collecting symptoms before proposing fixes?▼

Yes, root-cause debugging requires collecting symptoms and tracing code paths before proposing fixes. This enforces identifying the actual cause first, preventing hasty patches and ensuring issues are reproducible and traceable.