pov-expansion

Generate cross-domain perspectives and transferable solutions for complex problems.

6|Updated Feb 3, 2026

Search Tags:#convergence #cross-domain #POV-expansion #boundary-spanning #Rasmussen #structure-mapping

Ready to run

npx skills add https://github.com/dangeles/claude --skill pov-expansion

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pov-expansion
Source: https://github.com/dangeles/claude/tree/main/claude-config/skills/pov-expansion
Command: npx skills add https://github.com/dangeles/claude --skill pov-expansion

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

POV-expansion provides structured, boundary-spanning perspectives to surface transferable solutions for complex problems across domains.

Core Features & Use Cases

Cross-domain analysis and perspective generation using Rasmussen-inspired abstraction
Parallel perspective generation across near, mid, and far domains with convergence validation
Executive synthesis and transfer evaluation to produce actionable recommendations

Quick Start

Example: provide a problem statement and run the POV-expansion workflow to generate cross-domain perspectives. Example: pov-expansion --problem "Improve onboarding for a B2B SaaS product" --domains near,mid,far

Frequently Asked Questions about pov-expansion

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

FAQPage Schema

What is cross-domain perspective generation and when do I need boundary-spanning analysis?▼

Cross-domain perspective generation applies boundary-spanning analysis to surface transferable solutions for complex problems. You need it when a problem requires identifying structural parallels and actionable insights across near, mid, and far domains.

How do I generate cross-domain perspectives to find transferable solutions for a complex problem?▼

You generate cross-domain perspectives by providing a problem statement and running an 11-stage POV workflow. This process applies Rasmussen-inspired abstraction to produce structured perspectives, convergence validation, and transfer evaluation.

Can cross-domain analysis work for specific business contexts like improving B2B SaaS onboarding?▼

Yes, cross-domain analysis works for specific business contexts like B2B SaaS onboarding. You provide the specific problem statement and target near, mid, and far domains to generate parallel perspectives and executive synthesis.

What is the best way to validate convergence across near, mid, and far domains?▼

The best way to validate convergence is through the structured POV workflow's convergence validation stage. It evaluates parallel perspectives generated across near, mid, and far domains to ensure structural mapping produces reliable, transferable recommendations.

What are the limitations of using structure-mapping for complex problem analysis?▼

A limitation of structure-mapping for complex problem analysis is that it requires clearly defined problem statements and domain boundaries. Without proper boundary-spanning inputs, the transfer evaluation may produce superficial parallels rather than actionable executive synthesis.

Do I need specific data formats or dependencies to run the POV-expansion workflow?▼

No specific data formats or dependencies are required to run the POV-expansion workflow. You simply need a clearly articulated problem statement to initiate the boundary-spanning analysis and generate actionable cross-domain recommendations.