deep-dive

Trace root causes and interview to define actionable requirements.

153|12|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/jmstar85/oh-my-githubcopilot --skill deep-dive-jmstar85
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-dive
Source: https://github.com/jmstar85/oh-my-githubcopilot/tree/main/.github/skills/deep-dive
Command: npx skills add https://github.com/jmstar85/oh-my-githubcopilot --skill deep-dive-jmstar85

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates a two-stage trace-and-interview workflow to identify root causes and translate findings into actionable requirements.

Core Features & Use Cases

  • Two-stage pipeline: trace to investigate root causes and deep-interview to define concrete requirements.
  • Trace findings integration: inject insights into interview prompts to guide decisions.
  • Output preservation: saves traces and interview outputs to .omg/specs for audit and execution.

Quick Start

Provide a problem statement and the desired outcome to initiate a two-stage trace-and-interview investigation.

Frequently Asked Questions about deep-dive

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

FAQPage Schema
How do I investigate an unknown software bug root cause and translate findings into actionable requirements?

To investigate an unknown software bug root cause, you can use a two-stage trace-and-interview pipeline. It traces root causes and conducts structured interviews to inject findings into prompts, yielding concrete actionable execution requirements.

What is a trace-to-interview workflow for software engineering investigations?

A trace-to-interview workflow is a multi-agent pipeline guiding software engineering investigations through phases like Initialize, Lane Confirmation, Trace Execution, and Interview with Trace Injection to define actionable requirements.

Can I use execution agents like omg-autopilot or ralph after a root cause investigation?

Yes, you can use execution agents like omg-autopilot or ralph after a root cause investigation. The pipeline includes an Execution Bridge phase designed to support integration with these agents for downstream execution planning.

Where are trace findings and structured interview outputs stored for audit?

Trace findings and structured interview outputs are stored under the .omg/specs directory. This output preservation ensures investigation data remains accessible for audit and downstream execution planning.

How do I start a feature exploration or performance review when the root cause is unknown?

To start a feature exploration or performance review with an unknown root cause, provide a problem statement and the desired outcome. This input initiates the two-stage trace-and-interview investigation pipeline.