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investigate

Investigate software bugs through four structured root-cause analysis phases.

Updated Mar 21, 2026
Search Tags:#workflow#investigation#debug#grep#reproduce#hypothesis#root-cause
One-click install
npx skills add https://github.com/studyzy/dev-agent-protocol --skill investigate-studyzy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/studyzy/dev-agent-protocol/tree/main/.claude/skills/gstack/investigate
Command: npx skills add https://github.com/studyzy/dev-agent-protocol --skill investigate-studyzy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured approach to debugging by guiding users through four phases: investigate, analyze, hypothesize, and implement, ensuring fixes are grounded in root-cause analysis rather than symptoms.

Core Features & Use Cases

  • Four-phase root-cause investigation workflow: identify symptoms, analyze code paths, generate testable hypotheses, and implement targeted fixes.
  • Proactive guidance: suggests next steps when users report errors or unexpected behavior to accelerate resolution.
  • Reproducible debugging: records observations and decisions to build a traceable debugging narrative for teams.
  • Use Case: When a bug is reported, walk through a disciplined process to isolate root cause before proposing a fix.

Quick Start

Explain the issue you’re seeing, and I’ll guide you through root-cause investigation in four phases.

Frequently Asked Questions about investigate

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

FAQPage Schema
How do I systematically debug a software bug to find the root cause?▼

To debug systematically, follow a four-phase root-cause investigation workflow: identify symptoms, analyze code paths, generate testable hypotheses, and implement targeted fixes.

What is the best way to structure a debugging workflow for unexpected crashes?▼

A structured debugging workflow isolates the root cause before proposing a fix by recording observations and decisions to build a traceable debugging narrative across your codebase.

How do I generate and test hypotheses when debugging errors across services?▼

When debugging errors across services, generate testable hypotheses during the analysis phase to evaluate code paths and integration points before implementing a fix.

Can I use a systematic investigation workflow for any codebase or integration point?▼

Yes, you can apply this systematic investigation workflow to debug errors, crashes, or unexpected behavior across any codebases, services, or integration points.

Why should I track root causes instead of fixing symptoms during codebase debugging?▼

Tracking root causes during codebase debugging ensures fixes are grounded in root-cause analysis rather than symptoms, preventing recurring issues and accelerating resolution.

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