investigate

Traces root causes of bugs and malfunctions across code, configs, and data using a four-phase approach.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with structured root-cause investigation. The skill defines four phases (investigate, analyze, hypothesize, implement) to ensure fixes address the actual cause, not just symptoms.

Core Features & Use Cases

  • Four-phase workflow: investigate, analyze, hypothesize, implement, to guide debugging from discovery to resolution.
  • Context-driven tooling: leverages Bash, Read, Write, Edit, Grep, Glob, AskUserQuestion, WebSearch to gather evidence and propose remedies.
  • Use Case: when a production issue presents with errors, stack traces, or regression, apply the skill to diagnose and outline corrective actions.

Quick Start

Kick off by asking me to debug this issue and I will guide you through the four phases to identify the root cause and implement a fix.

Frequently Asked Questions about investigate

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

FAQPage Schema
How do I find the root cause of a runtime error or failed deployment?

To find the root cause of a runtime error or failed deployment, use a four-phase debugging method: investigate, analyze, hypothesize, and implement. This systematically traces issues across code, configs, and data to ensure fixes address the actual cause.

What is the best way to troubleshoot performance regressions in multi-service setups?

Troubleshooting performance regressions in multi-service setups requires systematically gathering context across services using tools like Bash, Grep, and Glob. A structured investigation method helps trace malfunctions through code and configurations to pinpoint the underlying issue.

How does a structured root-cause debugging method work?

A structured root-cause debugging method works through four phases: investigating to gather evidence, analyzing the context, forming a hypothesis about the bug, and implementing a proposed fix. This prevents patching symptoms and ensures the actual cause is resolved.

Can I use this method to debug flaky integrations?

Yes, you can debug flaky integrations using this method. The investigation process applies to runtime errors, failed deployments, and integration issues by leveraging Bash, Read, Grep, and WebSearch to gather evidence across your codebase and propose corrective actions.

Why does my quick fix keep failing to resolve the underlying bug?

Quick fixes fail when they address symptoms rather than the root cause. By applying a four-phase investigation—gathering evidence, analyzing, hypothesizing, and implementing—you ensure the actual source of the bug is identified and corrected.

Do I need specific environment setup to troubleshoot code and data configurations?

No special environment setup is required to troubleshoot code and data configurations. The method leverages standard command-line tools like Bash, Read, Write, Edit, Grep, and Glob to gather context and propose remedies directly within your existing workspace.