deep-dive

Trace likely causes of ambiguous problems and produce evidence-backed requirement specs.

Updated May 17, 2026
One-click install
npx skills add https://github.com/tiankong0101-byte/skills-registry --skill deep-dive-tiankong0101-byte
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-dive
Source: https://github.com/tiankong0101-byte/skills-registry/tree/main/skills/oh-my-claudecode/skills/deep-dive
Command: npx skills add https://github.com/tiankong0101-byte/skills-registry --skill deep-dive-tiankong0101-byte

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps when a problem is unclear, evidence-heavy, or caused by multiple possible factors, and you need to investigate before defining the right solution.

Core Features & Use Cases

  • Two-stage investigation flow: First traces likely causes through parallel hypotheses, then turns findings into a focused requirements interview.
  • Evidence-driven spec creation: Converts debugging or exploration results into a structured spec grounded in observed behavior, not assumptions.
  • Robust handoff to execution: Produces trace and spec artifacts that can be passed into downstream planning or implementation workflows.
  • Use cases: Root-cause analysis for bugs, understanding how a system currently works before changing it, and refining vague product ideas into actionable requirements.

Quick Start

Use the deep-dive skill to investigate this problem, confirm the likely causes, and turn the findings into a clear implementation spec.

Frequently Asked Questions about deep-dive

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

FAQPage Schema
How do I find the root cause of an ambiguous system bug?

To find the root cause of an ambiguous system bug, you investigate by tracing likely causes through parallel hypotheses and crystallizing the findings into a structured spec. This evidence-driven approach ensures conclusions are grounded in observed behavior rather than assumptions.

What is the best way to turn debugging results into actionable requirements?

The best way to turn debugging results into actionable requirements is to use a two-stage investigation flow that first traces likely causes and then converts the evidence-backed findings into a focused requirements interview, producing a structured spec for downstream execution.

How does trace investigation work for understanding a system before changing it?

Trace investigation works for system exploration by applying parallel hypotheses to map how a system currently works. It then refines these observations into a structured specification, ensuring you fully understand existing behavior before implementing changes.

Can I use root cause analysis to refine vague product ideas into specifications?

Yes, you can use root cause analysis to refine vague product ideas into specifications. By treating the vague idea as an ambiguous problem, the investigation traces likely factors and crystallizes the findings into an actionable, evidence-backed spec.

When do I need to generate a trace artifact before creating a specification?

You need to generate a trace artifact before creating a specification when a problem is unclear, evidence-heavy, or caused by multiple possible factors. This ensures the final specification is grounded in observed behavior and ready for robust handoff to execution workflows.