investigate

Guide root-cause debugging through investigate, analyze, hypothesize, and implement phases.

Updated Mar 11, 2026

Search Tags:#debugging #root cause #troubleshooting #stack trace #investigate #reproduce

Ready to run

npx skills add https://github.com/kinetas/ai_coding_web --skill investigate-kinetas

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with root cause investigation to ensure fixes address the actual failure rather than symptoms.

Core Features & Use Cases

Four-phase workflow: investigate, analyze, hypothesize, implement.
Guardrails to capture evidence (error messages, logs, stack traces) and reproduce steps.
Proactive root-cause detection during troubleshooting requests like "debug this" or "why is this broken" and generate actionable fixes.

Quick Start

Describe the error, reproduce the steps, and identify recent changes to locate the root cause.

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 software bug instead of just fixing symptoms?▼

Root cause debugging requires systematically investigating error messages, stack traces, and code paths. You gather evidence, reproduce the failure, hypothesize the true cause, and validate it before implementing a fix to ensure the actual issue is resolved.

What is the best way to troubleshoot application errors using stack traces?▼

Troubleshooting with stack traces involves analyzing the call sequence to locate the exact failure point. You trace the error through the code paths, reproduce the steps consistently, and identify recent changes that triggered the exception.

Can I reproduce and validate software bugs before attempting a code fix?▼

Yes, reproducing and validating bugs is essential before fixing. You capture deterministic reproduction steps and error evidence, then verify your hypothesis against the actual failure conditions to ensure the fix addresses the true root cause.

Does root cause debugging work for troubleshooting intermittent failures?▼

Root cause debugging supports intermittent failures by enforcing evidence capture and deterministic reproduction workflows. You analyze logs and stack traces to find consistent patterns, then validate hypotheses against edge cases before implementing the fix.

Why should I use a four phase debugging workflow instead of directly patching errors?▼

A four phase workflow—investigate, analyze, hypothesize, implement—prevents patching symptoms. It enforces evidence gathering and root cause validation, ensuring your fix resolves the actual failure and captures learnings for future troubleshooting.