gstack-openclaw-investigate

Name: gstack-openclaw-investigate
Availability: InStock
Author: scanbott

Diagnose software bug root causes through a structured investigation workflow.

Updated Apr 21, 2026

Search Tags:#debugging #root-cause #reproduction #bug-analysis #stack-trace #structured-report

Ready to run

npx skills add https://github.com/scanbott/claude-skills --skill gstack-openclaw-investigate-scanbott

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineers systematically identify the root cause of bugs by guiding investigation steps and organizing findings.

Core Features & Use Cases

Structured, step-by-step root-cause analysis
Phase-driven workflow for symptoms, code paths, reproduction, and validation
Generates a final debug report with evidence and recommended next steps

Quick Start

Start a systematic root-cause investigation by collecting symptoms, tracing code paths, and reproducing the bug deterministically.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema

How do I systematically find the root cause of a software bug in a complex codebase?▼

A systematic root-cause investigation collects symptoms, traces code paths, reproduces the bug deterministically, and tests hypotheses. This structured workflow guides you through each phase to pinpoint the exact origin of the issue in complex codebases.

What is the best way to analyze a stack trace during bug reproduction?▼

Analyzing a stack trace is best handled by mapping it to code path analysis during the reproduction phase. A structured investigation workflow uses the stack trace to form hypotheses, test them against observed behavior anomalies, and validate the root cause before generating a final debug report.

How do I structure a debug report after diagnosing a behavior anomaly?▼

To structure a debug report after diagnosing a behavior anomaly, compile the collected symptoms, traced code paths, reproduction steps, and tested hypotheses. A structured investigation workflow generates a final debug report containing all evidence and recommended next steps.

Can I use a structured debugging workflow for errors across multiple systems?▼

Yes, a structured debugging workflow applies to errors and behavior anomalies across systems. It guides you through symptoms collection, code path analysis, reproduction, and hypothesis testing to diagnose complex root causes regardless of the interacting system boundaries.

When do I need a phase-driven workflow for bug analysis instead of ad-hoc debugging?▼

You need a phase-driven workflow for bug analysis when dealing with complex codebases where ad-hoc methods fail. It enforces systematic steps for symptoms collection, code path tracing, deterministic reproduction, and hypothesis testing to ensure no evidence is missed.

Why does deterministic reproduction matter for root-cause debugging?▼

Deterministic reproduction matters for root-cause debugging because it validates the exact conditions triggering the error. A structured investigation workflow uses reliable reproduction steps to test hypotheses accurately and build a final debug report backed by concrete evidence.