investigate

Investigate software defects through characterize, isolate, hypothesize, and test steps.

399|31|Updated Mar 11, 2026

Search Tags:#performance #debugging #troubleshooting #root cause analysis #bug fixing #error investigation

Ready to run

npx skills add https://github.com/tobihagemann/turbo --skill investigate-tobihagemann

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/tobihagemann/turbo/tree/main/skills/investigate
Command: npx skills add https://github.com/tobihagemann/turbo --skill investigate-tobihagemann

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured methodology to systematically investigate and diagnose the root cause of bugs, test failures, build errors, performance issues, or unexpected behavior in software.

Core Features & Use Cases

Systematic Debugging: Follows a defined cycle of characterize, isolate, hypothesize, and test to pinpoint issues.
Root Cause Analysis: Focuses on identifying the fundamental reason for a problem, not just applying a quick fix.
Use Case: When a critical test fails in your CI pipeline, use this Skill to trace the failure, form hypotheses about its cause, and test them until the root cause is identified.

Quick Start

Use the investigate skill to find the root cause of the following error message: "TypeError: Cannot read properties of undefined (reading 'name')".

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 failing test in my CI pipeline?▼

To debug a failing test, systematically cycle through characterize, isolate, hypothesize, and test steps. This structured approach ensures you gather evidence and form falsifiable hypotheses to pinpoint the exact failure cause.

What's the best way to find the root cause of a runtime error?▼

Finding the root cause of a runtime error requires structured evidence gathering and git archaeology. By isolating the failure and testing falsifiable hypotheses, you can identify the fundamental reason for the unexpected behavior.

Can I use a systematic investigation methodology for performance degradation issues?▼

Yes, this systematic investigation methodology applies directly to performance degradation. It guides you through characterizing the issue, isolating variables, and testing hypotheses to discover the underlying root cause.

How do I trace unexpected application behavior back to its source?▼

To trace unexpected application behavior, use a defined cycle of characterizing the symptoms, isolating the component, hypothesizing the cause, and testing. This ensures your root cause analysis relies on structured evidence rather than guesswork.

Does root cause analysis require git archaeology to find build issues?▼

Yes, root cause analysis for build issues often requires git archaeology to trace recent changes. Combining this with structured evidence gathering and hypothesis testing isolates the specific commit or configuration causing the failure.