deep-dive

Orchestrate parallel trace lanes and an injected interview to crystallize a specification.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/jimmi2051/oh-my-copilot --skill deep-dive-jimmi2051
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-dive
Source: https://github.com/jimmi2051/oh-my-copilot/tree/main/plugins/omc-copilot/skills/deep-dive
Command: npx skills add https://github.com/jimmi2051/oh-my-copilot --skill deep-dive-jimmi2051

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep-dive orchestrates a two-phase workflow that couples parallel trace exploration with an injection-based interview to crystallize a precise specification, reducing ambiguity and rework.

Core Features & Use Cases

  • 3-parallel-trace lanes: Run three evidence-gathering paths simultaneously to surface root causes.
  • Trace-to-spec injection: Inject trace findings into the interview prompt to seed targeted questions and context.
  • Spec crystallization: Generate a standard deep-interview style spec document ready for downstream planning and execution.
  • Execution bridge: Produce a path to omc-plan and autopilot, enabling end-to-end delivery from problem to working code.

Quick Start

Initiate a deep-dive by describing the problem, then confirm hypotheses and start the trace-interview pipeline to generate a spec.

Frequently Asked Questions about deep-dive

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

FAQPage Schema
How do I investigate ambiguous problems to crystallize a precise specification?

To investigate ambiguous problems and crystallize a precise specification, you orchestrate parallel trace lanes and an injection-based interview. This process synthesizes gathered evidence to convert undefined root causes into a standard deep-interview spec document.

What is the best way to identify root causes in brownfield projects before writing requirements?

The best way to identify root causes in brownfield projects before writing requirements is running three parallel evidence-gathering trace lanes. Simultaneous exploration surfaces underlying issues, enabling you to define accurate requirements with reduced ambiguity and rework.

How do I start a deep problem investigation workflow?

To start a deep problem investigation workflow, you describe the problem to initiate the process. You then confirm hypotheses and start the trace-interview pipeline, which generates a specification ready for downstream planning and execution flows.

Does deep problem investigation work for greenfield projects?

Yes, deep problem investigation works for both greenfield and brownfield projects. It applies parallel trace lanes and evidence synthesis to identify root causes before requirements generation, ensuring precise specifications across any project context.

How does trace-to-spec injection work during an interview?

Trace-to-spec injection works by feeding trace findings directly into the interview prompt. This seeds targeted questions and context, allowing the interview to crystallize a precise specification from the synthesized evidence gathered during the parallel trace exploration.

Can I bridge the generated specification directly into planning and autopilot flows?

Yes, you can bridge the generated specification directly into planning and autopilot flows. The execution bridge produces a path to omc-plan and autopilot, enabling end-to-end delivery from problem investigation to working code.