What problem does it solve?
Deep Dive helps teams uncover why a problem or unexpected behavior occurred and turns investigative findings into a clear, evidence-backed requirements specification so downstream planners and implementers can act without guessing.
Core Features & Use Cases
- Two-stage pipeline: run a 3-lane causal trace followed by an interactive deep interview that crystallizes requirements.
- 3-point trace→interview injection: injects trace synthesis, codebase context, and per-lane critical unknowns into the interview without treating data as executable instructions.
- Artifact persistence & execution bridge: saves trace and spec artifacts, persists state for resume, and hands off spec files to omc-plan, autopilot, ralph, or team for execution.
- Use Cases: bug root-cause investigations, ambiguous feature exploration, brownfield impact analysis, and preparing handoff-ready specs for autonomous execution.
Quick Start
Invoke the skill with a concise problem statement such as: /deep-dive "Production DAG fails intermittently on transformation step"