investigate

Guide structured investigation, hypothesis, and verification to isolate software bug root causes.

Updated May 11, 2026

Search Tags:#debug #investigate #root-cause-analysis #incident-response #bug-triage #gstack

Ready to run

npx skills add https://github.com/cloudofgeorge/AI-hands --skill investigate-cloudofgeorge

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging has often been ad-hoc, leading to incomplete root-cause analysis and non-repeatable fixes. This skill provides a disciplined framework to identify the underlying cause by guiding an investigate → analyze → hypothesize → implement loop, ensuring traceable steps and reliable outcomes.

Core Features & Use Cases

Structured root-cause analysis workflow that standardizes investigation steps across codebases and services.
Hypothesis-driven debugging with explicit validation, logging, and artifact management to accelerate resolution during incidents.
Use cases include debugging hard-to-reproduce bugs, performance regressions, and post-incident reviews.

Quick Start

Start by triggering the investigate workflow on the failing component and follow the four phases to locate the root cause and validate the fix.

Frequently Asked Questions about investigate

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

FAQPage Schema

What is root-cause analysis and how does systematic debugging work?▼

Root-cause analysis identifies the underlying cause of software bugs by enforcing a structured investigate, analyze, hypothesize, and implement loop, ensuring traceable steps and repeatable fixes across codebases.

How do I debug hard-to-reproduce bugs step by step?▼

Debug hard-to-reproduce bugs by triggering a structured investigation workflow on the failing component, then following guided phases to formulate hypotheses, validate fixes, and manage artifacts for traceable resolution.

Does this debugging workflow work for post-incident reviews and performance regressions?▼

Yes, this debugging workflow applies to post-incident reviews and performance regressions by standardizing investigation steps with explicit validation and logging across affected codebases and services.

What's the best way to isolate the root cause of a software bug during an incident response?▼

The best way to isolate a root cause during incident response is using a hypothesis-driven debugging framework with structured phases and artifact management to accelerate reliable resolution.

Why should I use a structured debugging workflow instead of ad-hoc investigation?▼

You should use a structured debugging workflow instead of ad-hoc investigation to avoid incomplete root-cause analysis and non-repeatable fixes, ensuring reliable outcomes through disciplined logging and validation.

Can I use this root-cause analysis workflow across multiple services and codebases?▼

Yes, you can use this root-cause analysis workflow across multiple services and codebases because it standardizes investigation steps, logging, and artifact management for consistent regression investigations.