gstack-openclaw-investigate

Systematically debug software to identify root causes of errors.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/whd4/gstack --skill gstack-openclaw-investigate-whd4
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/whd4/gstack/tree/main/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/whd4/gstack --skill gstack-openclaw-investigate-whd4

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematically debug software to identify root causes and prevent repeated issues.

Core Features & Use Cases

  • Multi-phase root-cause investigation: collect symptoms, reproduce the bug, and trace the failure.
  • Pattern analysis: detect races, nil/null propagation, memory/state issues, and integration failures.
  • Hypothesis testing & verification: validate fixes with evidence and regression planning.

Quick Start

Systematically begin root-cause analysis by collecting symptoms and reproducing the issue following Phase 1 steps.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
What is the best way to systematically debug software and find the root cause of errors?

Systematically debug software by following a disciplined multi-phase workflow: collect symptoms, reproduce the bug, trace the failure, analyze patterns, and test hypotheses to reveal the root cause of errors.

How do I investigate stack traces and unexpected behavior during bug reproduction?

Investigate stack traces and unexpected behavior by collecting symptoms and reproducing the issue during Phase 1, then applying pattern analysis to detect races, nil propagation, memory issues, and integration failures.

Can I use this approach for root-cause analysis and post-mortem sessions in software engineering?

Yes, root-cause analysis and post-mortem sessions are directly applicable, utilizing hypothesis testing and verification reporting to validate fixes with evidence and plan for regression prevention.

How do I validate code fixes and prevent repeated software defects?

Validate code fixes through structured hypothesis testing and verification reporting, using collected evidence to confirm the root cause is resolved and planning regressions to prevent repeated software defects.

Does this debugging method detect race conditions and memory state issues?

Yes, pattern analysis during the investigation detects race conditions, nil or null propagation, memory and state issues, alongside integration failures within the codebase.

What do I need to start troubleshooting unexpected behavior in my codebase?

To start troubleshooting, you need the observed symptoms and a method to reproduce the issue, which initiates the root-cause investigation workflow to trace the failure.