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.