gstack-openclaw-investigate

Enforces a four-phase root cause workflow for web and backend system debugging.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Chang-Shih-Yung/nexus-finance --skill gstack-openclaw-investigate-chang-shih-yung
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-investigate
Source: https://github.com/Chang-Shih-Yung/nexus-finance/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-investigate
Command: npx skills add https://github.com/Chang-Shih-Yung/nexus-finance --skill gstack-openclaw-investigate-chang-shih-yung

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the common pitfall of whack-a-mole debugging, where temporary symptom-only fixes lead to recurring bugs and increasing technical debt, by enforcing mandatory root cause investigation before any code changes are made.

Core Features & Use Cases

  • Structured 4-phase workflow: Guides users through root cause investigation, pattern analysis, hypothesis testing, and implementation in a logical, repeatable process.
  • Built-in guardrails: Includes a 3-strike rule for failed hypotheses, mandatory regression test requirements, and blast radius checks for changes touching more than 5 files.
  • Use case: Ideal for investigating production incidents, regressions after recent code changes, intermittent errors, or any scenario where a user reports unexpected behavior or a broken feature.

Quick Start

Use the gstack-openclaw-investigate skill to debug the intermittent 500 error appearing in the user dashboard after the latest deployment.

Frequently Asked Questions about gstack-openclaw-investigate

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

FAQPage Schema
What is root cause analysis in software debugging and why is it important?

Root cause analysis in software debugging identifies the fundamental origin of an error rather than just addressing surface symptoms. It is important because it prevents recurring bugs, eliminates whack-a-mole fixes, and stops the accumulation of technical debt in web and backend systems.

How do I debug an intermittent 500 error in a production incident response?

To debug an intermittent 500 error during a production incident response, apply a structured four-phase workflow: investigate the root cause, analyze patterns, test hypotheses, and implement the fix. This process enforces mandatory regression testing and blast radius checks for code changes.

What is the best way to troubleshoot a software regression after a recent deployment?

The best way to troubleshoot a software regression is to follow a systematic root cause investigation process. This requires verifying the root cause before code changes, applying a 3-strike rule for failed hypotheses, and implementing mandatory regression tests to ensure the fix is permanent.

Does this debugging workflow work for backend systems and web applications?

Yes, this debugging workflow works for backend systems and web applications. It is designed for software debugging scenarios including error investigation, regression troubleshooting, and production incident response, ensuring structured root cause verification across these environments.

What are the limitations of symptom-only bug fixes in software troubleshooting?

Symptom-only bug fixes in software troubleshooting are limited because they lead to recurring bugs and increasing technical debt. Without mandatory root cause investigation and hypothesis testing guardrails, they fail to permanently resolve the unexpected behavior or broken features reported by users.