Verified:GitHub

investigate

Diagnose failures through systematic root-cause investigation across four phases.

1|Updated May 5, 2026

Search Tags:#debugging #root cause analysis #bug fixing #stack trace #software reliability #error investigation #systematic troubleshooting

Ready to run

npx skills add https://github.com/yashs33244/my-mac-claude --skill investigate-yashs33244

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/yashs33244/my-mac-claude/tree/main/skills/gstack/investigate
Command: npx skills add https://github.com/yashs33244/my-mac-claude --skill investigate-yashs33244

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you stop guessing and instead systematically identify why software, services, or workflows break, so you fix the actual root cause rather than masking symptoms.

Core Features & Use Cases

Four-phase investigation: guides you through investigate, analyze, hypothesize, and implement to reach a grounded conclusion.
Iron Law guardrail: enforces no fixes without a demonstrated root cause, reducing regressions and recurring bugs.
Error-driven activation: optimized for debugging prompts like “why is this broken”, “fix this bug”, stack traces, 500s, and unexpected behavior after something used to work.

Quick Start

Use the investigate skill when you want the AI to perform root cause analysis, using the evidence you provide, and then propose a fix only after the cause is justified.

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 masking symptoms?▼

To find the root cause of a software bug, you need systematic troubleshooting that gathers evidence and forms hypotheses before applying fixes, ensuring you resolve the actual failure rather than treating symptoms.

What is systematic root cause investigation for debugging?▼

Systematic root cause investigation is a structured debugging process spanning investigate, analyze, hypothesize, and implement phases, with an explicit constraint that no fixes are applied without a demonstrated cause.

How do I fix unexpected errors and 500 responses after a regression?▼

To fix unexpected errors and 500 responses after a regression, use a four-phase investigation method to analyze stack traces and evidence, ensuring the fix is grounded in the identified root cause.

What's the best way to debug a stack trace without causing recurring bugs?▼

The best way to debug a stack trace without recurring bugs is enforcing an iron law guardrail: no fixes without root cause, which reduces regressions by requiring evidence-backed analysis before implementation.

Can I use this debugging approach for any unexpected behavior where something used to work?▼

Yes, you can use this debugging approach for unexpected behavior where something used to work, as it is optimized for error-driven activation across regressions, unknown breakage, and general software reliability issues.