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problem-definition

Generate a complete problem definition using the RO-PNA 6-Phase framework.

17|1|Updated Feb 3, 2026
Search Tags:#reasoning#5-whys#scqa#problem-definition#mece#xyz#tdcc
One-click install
npx skills add https://github.com/Adelie-Squad/solosquad --skill problem-definition-adelie-squad
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: problem-definition
Source: https://github.com/Adelie-Squad/solosquad/tree/main/skills/problem-definition
Command: npx skills add https://github.com/Adelie-Squad/solosquad --skill problem-definition-adelie-squad

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Automates PM's self-reasoning chain to autonomously execute the RO-PNA 6-Phase (SCQA→5-Whys→MECE→TDCC→XYZ→1-pager) using context from archive/memory/OKRs, and appends unresolved items to open_questions[].

Core Features & Use Cases

  • Autonomous six-phase reasoning: SCQA extraction, root-cause analysis (5-Whys), MECE decomposition, TDCC mapping, XYZ hypothesis, and 1-pager PRD synthesis.
  • Context-driven output: produces structured outputs for downstream skills and decision making.
  • Open questions handling: flags data gaps for operator review and future data integration.

Quick Start

Provide the Chief’s brief and the 9-layer JIT context; the skill will autonomously execute the 6-Phase sequence and return a structured output including open_questions[] if needed.

Frequently Asked Questions about problem-definition

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

FAQPage Schema
How do I automate problem definition using SCQA and 5-Whys for product management?▼

The 6-Phase framework runs SCQA extraction, 5-Whys root-cause analysis, MECE decomposition, TDCC mapping, XYZ hypothesis, and 1-pager synthesis. It autonomously chains these reasoning steps using archived data and OKRs to output a complete problem definition.

What inputs do I need to generate a MECE-decomposed problem definition?▼

Generating a MECE-decomposed problem definition requires inputs supplying SCQA fields, 5-Whys data, and TDCC mappings. Providing the Chief's brief and 9-layer JIT context enables the autonomous 6-Phase sequence execution.

How does this approach handle incomplete data during root-cause analysis?▼

When data is incomplete during root-cause analysis, the framework flags information gaps and appends them to an open_questions array. This MECE-decomposed analysis identifies open questions for operator review and future data integration.

Can I use this problem-definition chain for downstream processing and PRD synthesis?▼

Yes, the problem-definition chain outputs a structured JSON object ready for downstream processing and decision making. It autonomously synthesizes a 1-pager PRD alongside the MECE-decomposed analysis for subsequent skills.

What is the best way to structure PM decision loops using the RO-PNA framework?▼

Structuring PM decision loops is best achieved by applying the RO-PNA 6-Phase framework to produce a self-contained, MECE-decomposed analysis. It sequences SCQA, 5-Whys, MECE, TDCC, and XYZ to output structured JSON for decision making.

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