ljg-rank

Decompose complex domains into ranked independent generators explaining observed phenomena.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/Dante-dan/dan-skills --skill ljg-rank-dante-dan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ljg-rank
Source: https://github.com/Dante-dan/dan-skills/tree/main/vendor-backup/ljg-rank
Command: npx skills add https://github.com/Dante-dan/dan-skills --skill ljg-rank-dante-dan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users reduce complex domains into a small set of independent generators that explain and recreate observed phenomena.

Core Features & Use Cases

  • Domain Decomposition: Identifies the minimum set of underlying forces that support an entire field or topic.
  • Generative Analysis: Tests candidate generators through completeness, minimality, independence, and prediction criteria.
  • Use Case: Analyze a business model, technology field, or research area to discover the few fundamental mechanisms driving its visible patterns.

Quick Start

Ask the ljg-rank skill to find the irreducible generators behind the domain of artificial intelligence.

Frequently Asked Questions about ljg-rank

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

FAQPage Schema
What is domain decomposition and how does it identify irreducible forces?

Generative analysis tests candidate generators through completeness, minimality, independence, and prediction criteria. This structured evaluation identifies the few fundamental mechanisms driving visible patterns, ensuring theoretical soundness in conceptual decomposition and theory building tasks.

How do I find the foundational mechanisms driving a complex research area?

You can analyze business models, technology fields, or research areas to discover fundamental mechanisms. The skill applies generative analysis to evaluate independent generators, producing a ranked domain analysis that explains the driving forces behind any specified topic.

When do I need to use generative analysis for conceptual decomposition?

Generative analysis is needed when reducing complex domains into independent generators for theory building. It applies when you must test candidate forces through completeness, minimality, independence, and prediction criteria to explain observed phenomena.

Can I use domain analysis to evaluate a business model or technology field?

Domain analysis suits any analytical task involving conceptual decomposition and theory building. It is effective for evaluating business models, technology fields, and research areas by identifying the minimum set of underlying forces that support the entire topic.

What are the limitations of reducing a field to independent generators?

A limitation is the strict requirement for minimality and independence. If candidate forces fail the completeness or prediction criteria, the resulting decomposition may not fully explain or recreate the complex observed phenomena within the target domain.