investigate

Investigate bugs and errors to identify root causes before fixes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/abrahamgreyson/skills --skill investigate-abrahamgreyson
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/abrahamgreyson/skills/tree/main/gstack/investigate
Command: npx skills add https://github.com/abrahamgreyson/skills --skill investigate-abrahamgreyson

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you diagnose broken behavior systematically instead of guessing, so you can find the real cause of an error, regression, or unexpected result before making changes.

Core Features & Use Cases

  • Root Cause Investigation: Follows a disciplined debug workflow that starts with evidence, narrows the failure domain, and avoids premature fixes.
  • Error and Regression Triage: Useful for stack traces, 500 errors, failed commands, flaky behavior, and cases where something “worked yesterday.”
  • Safe Fix Planning: Encourages hypothesis-driven analysis so you understand why a problem happened and what change will actually address it.

Quick Start

Use the investigate skill to trace the broken behavior and identify the root cause before making any 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 500 error before attempting a fix?

Root cause investigation requires disciplined evidence gathering and hypothesis testing to narrow the failure domain. By analyzing stack traces and error logs systematically, you identify exactly why the regression happened before attempting any safe fix planning.

What is the best way to troubleshoot regressions when something worked yesterday?

Troubleshooting regressions involves applying a structured debug workflow to trace broken behavior and identify the root cause. By systematically testing hypotheses against evidence instead of guessing, you understand why the stopped working behavior occurred before planning safe implementation changes.

How do I debug stack traces without making premature code changes?

Debugging stack traces without premature changes requires a disciplined workflow that starts with evidence gathering and narrows the failure domain. By applying hypothesis-driven analysis, you understand the unexpected behavior and establish guardrails against premature fixes before planning safe implementation changes.

Can I use systematic investigation for failing commands and flaky behavior?

Systematic investigation applies to failing commands and flaky behavior by following a structured debug workflow. It gathers evidence, tests hypotheses, and narrows the failure domain to identify the root cause of the unexpected result before planning any safe implementation changes.

What are the limitations of hypothesis-driven troubleshooting for unexpected errors?

Hypothesis-driven troubleshooting requires disciplined evidence gathering and cannot provide immediate fixes for unexpected errors. It focuses on understanding why the problem happened and planning safe implementation guidance with guardrails against premature changes, which means it may take longer than applying a quick patch.