investigate

Systematically debugs errors through four phases: investigate, analyze, hypothesize, implement.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/bizzybae/qstack --skill investigate-bizzybae
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/bizzybae/qstack/tree/main/gstack-original/investigate
Command: npx skills add https://github.com/bizzybae/qstack --skill investigate-bizzybae

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with root cause investigation helps identify the true cause of bugs before applying any fix, reducing cycle time and guesswork.

Core Features & Use Cases

  • Guided workflow through four phases: investigate, analyze, hypothesize, implement, to surface root causes.
  • Reproduction and evidence collection using Read, Grep, and structured notes to validate hypotheses.
  • Ideal for debugging errors, stack traces, or unexpected behavior across codebases and environments.

Quick Start

Describe the error, collect symptoms, read the code, and begin root-cause investigation.

Frequently Asked Questions about investigate

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

FAQPage Schema
What is the best way to find the root cause of a stack trace or unexpected behavior?

Root-cause debugging identifies the true cause of errors before applying fixes. It uses a structured workflow to investigate symptoms, analyze code, form a hypothesis, and implement a verified fix, reducing cycle time and guesswork.

How do I debug code paths when I have trouble reproducing issues?

Debug reproduction issues by collecting symptoms and tracing code paths using Read and Grep. This structured investigation gathers evidence across the codebase to validate hypotheses and surface the actual root cause of the error.

Can I use a systematic debugging workflow for any environment or codebase?

Yes, systematic debugging applies across codebases and environments when users report errors or unexpected behavior. It requires collecting symptoms, reading code, and forming a hypothesis to identify the root cause before implementing a fix.

Does root-cause investigation help reduce debugging cycle time compared to guessing fixes?

Root-cause investigation reduces cycle time by identifying the true cause of bugs before applying any fix. This four-phase approach—investigate, analyze, hypothesize, implement—eliminates guesswork and ensures you ship verified fixes.

Why does my code work locally but fail with errors in another environment?

Investigating environment-specific errors requires collecting symptoms and tracing code paths to form a hypothesis. By reading code and gathering evidence systematically, you can identify the root cause and implement a fix for the unexpected behavior.