gstack-openclaw-investigate

Diagnose software defects through structured root-cause investigation workflows.

Updated Mar 28, 2026
One-click install
npx skills add https://github.com/steadyfall/fspeek --skill gstack-openclaw-investigate-steadyfall
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/steadyfall/fspeek/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/steadyfall/fspeek --skill gstack-openclaw-investigate-steadyfall

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debugging and root-cause analysis guidance for software failures, helping teams quickly identify underlying causes rather than chasing symptoms.

Core Features & Use Cases

  • Phase-based investigation workflows that structure symptom collection, code-path tracing, and reproduction steps.
  • Hypothesis-driven analysis with explicit root-cause outputs and verification steps.
  • Rich, structured diagnostic reporting to improve post-mortems and prevent regressions.

Quick Start

Diagnose a failing feature by gathering error messages and reproducing steps, then run Phase 1 to form a root-cause hypothesis.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
How do I perform root-cause debugging for a software failure?

Root-cause debugging involves collecting symptoms, tracing code paths, and generating testable hypotheses. This Skill structures that workflow into phases to identify underlying causes rather than chasing symptoms, concluding with a formal debug report.

What is the best way to structure a debugging investigation?

The best way to structure a debugging investigation is using a phase-based workflow. This approach sequentially guides you through symptom collection, code-path tracing, reproduction steps, and hypothesis verification to ensure systematic defect diagnosis.

Can I use this investigation workflow for production environment failures?

Yes, you can use this investigation workflow for production environment failures. It applies to debugging sessions, error reports, and failures encountered in both development and production environments to help diagnose software defects.

How do I generate a testable hypothesis from a stack trace?

To generate a testable hypothesis from a stack trace, gather the error messages and reproduction steps, then run the investigation phases to trace the code paths. This forms an explicit root-cause hypothesis for verification.

Why does my debugging process keep chasing symptoms instead of finding the root cause?

Your debugging process may keep chasing symptoms because it lacks hypothesis-driven analysis. By applying structured root-cause investigation with explicit outputs and verification steps, you can identify underlying causes and prevent future regressions.