What are the four internal criteria the skill uses for analysis?

The skill evaluates every analysis based on Generativity (can it explain all phenomena?), Minimality (is it irreducible?), Independence (are the forces separate?), and Predictive Power (can it forecast new phenomena?).

What does 'Rank Reduction' mean in the context of this skill?

Rank Reduction (降秩) is a process of finding the minimum number of independent 'generators' or forces that can logically explain and recreate every phenomenon within a specific domain.

Where does the skill save its results?

The output is automatically written to a timestamped .org file within the user's ~/Documents/notes/ directory for easy archival and review.

How does this output differ from a standard domain summary?

Instead of listing key points, this skill provides a continuous narrative that focuses on generative logic and how core elements interact to create complexity from simplicity.

Domain Rank Reduction Engine

Name: Domain Rank Reduction Engine
Author: lijigang

bylijigang

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3,607

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Learning & Documentation

Decomposes complex domains into their irreducible fundamental generators to reveal underlying structural logic.

The ljg-rank skill implements a rigorous 'Rank Reduction' framework designed to strip away superficial noise and identify the core independent forces that drive any given field. Unlike standard summaries, it focuses on finding 'generators' that can logically reconstruct all observed phenomena within a domain. By applying four strict criteria—generative power, minimality, independence, and predictability—the skill produces a cohesive narrative analysis and a structural ASCII visualization, allowing users to grasp the essential 'bones' of a complex subject and understand how its core elements interact.

Key Features

01Applies four rigorous criteria: Generativity, Minimality, Independence, and Predictive Power.

02Automatically exports findings to timestamped Org-mode files for local knowledge management.

03Visualizes structural relationships using pure ASCII architecture diagrams.

04Identifies irreducible fundamental generators of any domain or subject.

05Generates seamless, narrative-style prose explanations for a holistic understanding.

063,607 GitHub stars

Use Cases

01Analyzing social or psychological phenomena to identify the root forces at play.

02Simplifying technical architectures or academic fields into fundamental first principles.

03Deconstructing complex business models or industries to find their primary core drivers.

Key Features

01Applies four rigorous criteria: Generativity, Minimality, Independence, and Predictive Power.

02Automatically exports findings to timestamped Org-mode files for local knowledge management.

03Visualizes structural relationships using pure ASCII architecture diagrams.

04Identifies irreducible fundamental generators of any domain or subject.

05Generates seamless, narrative-style prose explanations for a holistic understanding.

063,607 GitHub stars

Use Cases

01Analyzing social or psychological phenomena to identify the root forces at play.

02Simplifying technical architectures or academic fields into fundamental first principles.

03Deconstructing complex business models or industries to find their primary core drivers.