gstack-openclaw-investigate

Diagnose software issues through a phase-based debugging workflow and output a structured report.

Updated May 6, 2026
One-click install
npx skills add https://github.com/stayconnectquick/gstack --skill gstack-openclaw-investigate-stayconnectquick
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/stayconnectquick/gstack/tree/main/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/stayconnectquick/gstack --skill gstack-openclaw-investigate-stayconnectquick

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured, phase-driven approach to debugging, root-cause analysis, and verification to reliably diagnose and fix software issues without guesswork.

Core Features & Use Cases

  • Phase-based investigation: Systematically collects symptoms, reads code paths, and identifies potential causes before forming a hypothesis.
  • Pattern & evidence analysis: Checks for common failure patterns, cross-references recent changes, and gathers reproducible steps.
  • Structured verification: Guides hypothesis testing, fixes application, and generates a formal verification report with evidence.

Quick Start

Collect symptoms and reproduce steps from the user report, then trace the code path to form a root-cause hypothesis and begin systematic debugging.

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 systematic root-cause analysis for software issues?

Systematic root-cause analysis follows a phase-based workflow: gather symptoms, inspect code paths, reproduce the issue, test hypotheses, and implement fixes. This structured approach eliminates guesswork by cross-referencing evidence and recent changes to reliably diagnose software issues.

What is the best way to debug errors across staging and production environments?

Debugging across staging and production requires collecting reproducible steps and tracing code paths to form a root-cause hypothesis. A structured method verifies failure patterns across environments and generates a formal debug report with supporting evidence for the fix.

How do I structure a debug report after fixing unexpected software behavior?

A structured debug report documents gathered symptoms, the root-cause hypothesis, tested hypotheses, and the applied fix. It enforces verification by including evidence gathered during reproduction and pattern analysis to confirm the unexpected behavior is fully resolved.

Can I use hypothesis testing to fix stack traces without guesswork?

Yes, hypothesis testing fixes stack traces without guesswork by systematically inspecting code paths and cross-referencing recent changes. You form a root-cause hypothesis based on collected symptoms and verify it against reproduced steps before applying actual code fixes.

Does phase-based debugging work for reproducibility challenges in production?

Phase-based debugging works for reproducibility challenges by systematically collecting symptoms and cross-referencing recent changes to identify potential causes. It enforces gathering reproducible steps before forming a hypothesis, ensuring reliable diagnosis even in complex production contexts.