investigate

Name: investigate
Availability: InStock
Author: kit4some

Guide staged debugging with hypothesis testing and code-path tracing.

4|Updated Mar 21, 2026

Search Tags:#debugging #verification #memory #root-cause #reproduction #tracer

Ready to run

npx skills add https://github.com/Kit4Some/Oh-my-ClaudeClaw --skill investigate-kit4some

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/Kit4Some/Oh-my-ClaudeClaw/tree/main/skills/investigate
Command: npx skills add https://github.com/Kit4Some/Oh-my-ClaudeClaw --skill investigate-kit4some

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging process to uncover root causes before applying fixes, reducing wasted effort and repeated issues.

Core Features & Use Cases

Stage-driven investigation (symptom collection, reproducibility, and code-path tracing)
Hypothesis testing with controlled reproduction and memory context loading
Guardrails and scope control to prevent unintended changes during debugging
Use Case: debugging intermittent failures in a service integration or API call

Quick Start

Describe a failing behavior and run the investigate skill to begin root-cause tracing.

Frequently Asked Questions about investigate

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

FAQPage Schema

What is root-cause debugging and how does it prevent recurring software bugs?▼

Root-cause debugging is a systematic investigation process that uncovers underlying causes before applying fixes. By gathering evidence and tracing code paths, it reduces wasted effort and prevents repeated issues across software repositories and environments.

How do I debug an intermittent API call or service integration failure?▼

To debug an intermittent integration failure, describe the failing behavior to initiate stage-driven investigation. The process guides symptom collection, reproducibility testing, and code-path tracing to isolate the root cause across affected environments.

What is the best way to systematically trace a software bug across multiple repositories?▼

The best way to trace bugs across repositories is using a staged investigation process. This involves disciplined evidence collection, controlled reproduction, and hypothesis testing to safely verify fixes without causing unintended changes during debugging.

Can I use this systematic debugging approach for integration failures in different deployment environments?▼

Yes, this systematic debugging approach applies to software bugs, integration failures, and reproducible issues across various repositories, environments, and deployments. It uses memory context integration to ensure verifiable fixes in any environment.

How do I test debugging hypotheses without making unintended changes to my codebase?▼

You test debugging hypotheses using controlled reproduction and built-in guardrails for scope control. This staged process freezes code paths during investigation, preventing unintended changes while you verify the root cause of the failure.

Why does my software bug keep reappearing after applying a fix?▼

Software bugs reappear when fixes address symptoms rather than root causes. Systematic debugging solves this by enforcing staged evidence gathering, hypothesis testing, and code-path tracing to ensure the underlying issue is verifiably resolved.