investigate

Systematically debugs software errors by tracing root causes before implementing fixes.

Updated May 22, 2026
One-click install
npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill investigate-shekerkamma
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/shekerkamma/peopletech-marketplace/tree/main/plugins/gstack/investigate
Command: npx skills add https://github.com/shekerkamma/peopletech-marketplace --skill investigate-shekerkamma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the pervasive problem of whack-a-mole debugging, where teams fix symptoms instead of root causes, leading to recurring defects, wasted engineering time, and degraded user experience. It enforces a disciplined, systematic approach to ensure every fix addresses the underlying issue.

Core Features & Use Cases

  • 4-Phase Systematic Workflow: Guides you through investigate, analyze, hypothesize, and implement steps to ensure no fixes are applied before root cause is confirmed.
  • Proactive Invocation: Automatically triggers when users report errors, stack traces, 500 errors, or unexpected behavior, so you never miss a debugging opportunity.
  • Built-in Guardrails: Enforces the Iron Law of "no fixes without root cause" and integrates with session tracking, learnings, and telemetry to improve debugging over time.
  • Use Case: If a user reports that the checkout flow started throwing 500 errors after a recent deploy, this Skill guides you to check recent changes to the checkout code, reproduce the issue, trace the error to the exact misconfigured environment variable, and fix the root cause instead of just adding a temporary error handler.

Quick Start

Use the investigate skill to debug the 500 error the user is seeing on the checkout page after the latest deploy.

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 instead of just patching the symptom?

Systematic root cause debugging enforces a four-phase workflow—investigate, analyze, hypothesize, implement—ensuring you verify the underlying issue via stack trace analysis and runtime logs before applying any code changes, thereby eliminating recurring defects caused by patching symptoms.

What is the best way to systematically debug a regression introduced in a recent deploy?

Systematic regression debugging involves checking version control history for recent changes, reproducing the unexpected behavior, and tracing the error to its exact origin to ensure the fix addresses the actual misconfiguration rather than adding temporary error handlers.

What do I need to trace execution paths and investigate unexpected behavior in web applications?

To trace execution paths and investigate unexpected behavior, you need access to code repositories, version control history, and runtime logs to validate root cause hypotheses and implement verified fixes with full context retention.

Can I use this systematic debugging workflow for APIs and internal engineering tooling?

Yes, systematic debugging applies to error investigation, stack trace analysis, and unexpected behavior troubleshooting for web applications, APIs, and internal engineering tooling, enforcing root cause validation before any fix implementation.

Why do my software fixes keep failing and causing the same bugs to recur?

Recurring bugs happen when teams practice whack-a-mole debugging by fixing symptoms instead of root causes, wasting engineering time and degrading user experience, which a disciplined root cause investigation workflow prevents.