investigate

Automate root cause investigation and debugging workflows for software and system errors.

2|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/az9713/paperclip-gstack-company --skill investigate-az9713
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: investigate
Source: https://github.com/az9713/paperclip-gstack-company/tree/main/gstack/investigate
Command: npx skills add https://github.com/az9713/paperclip-gstack-company --skill investigate-az9713

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bash, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill assists engineers in identifying the root cause of issues and conducting systematic debugging to address software or system errors effectively.

Core Features & Use Cases

  • Root Cause Investigation: Offers a structured approach to debugging by systematically gathering information, analyzing code, and determining the underlying cause of a problem.
  • Pattern Analysis: Identifies and checks for known patterns in issues to simplify debugging and provide quicker resolutions.
  • Automated Debugging Commands: Provides a series of pre-defined commands that streamline the debugging process.
  • Context Recovery: Assists in recovering context from previous sessions and related artifacts to aid in ongoing debugging tasks.

Quick Start

Start a debug session with the /investigate command followed by specific instructions like "/investigate this error".

Frequently Asked Questions about investigate

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

FAQPage Schema
How do I perform systematic root cause analysis for software errors?

Systematic root cause analysis automates information gathering, code inspection, and pattern checking to identify underlying software issues. It structures the debugging workflow into defined steps to resolve errors effectively rather than relying on manual troubleshooting.

Can I use bash and python scripts to automate debugging workflows?

Yes, bash and python scripts are required to automate debugging workflows. They execute pre-defined commands, manage the investigation process, and handle context recovery from previous sessions to streamline error resolution.

What is the best way to start an automated debugging session?

The best way to start an automated debugging session is to invoke the /investigate command followed by specific instructions, such as '/investigate this error'. This triggers the structured analysis process to begin root cause identification.

How does pattern analysis help with issue resolution in software engineering?

Pattern analysis helps issue resolution by identifying and checking for known error patterns within the system. This simplifies the debugging process, allowing engineers to apply quicker resolutions instead of analyzing the code from scratch.

Do I need to install bash and python before using this debugging tool?

Yes, you need bash and python installed in your environment. These dependencies are required to execute the scripts that automate the root cause investigation and manage the structured debugging tasks.

Why does systematic investigation recover context from previous debugging sessions?

Systematic investigation recovers context from previous sessions to aid ongoing debugging tasks. This feature ensures engineers can access related artifacts and historical data, maintaining continuity and avoiding redundant information gathering.