rpp

Community

Generates four-level Pareto graphs

AuthorZpankz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Generates compact, four-level knowledge graphs from domain content to support scalable ontology design and reasoning.

Core Features & Use Cases

  • Four-level architecture (L0-L3) with Pareto compression to ground 80% of content in 4% of nodes.
  • Bidirectional construction and cross-level edge support for coherent hierarchy.
  • Topology validation with η≥4, clustering, bridges, and small-world checks for robust structures.
  • Integrates with graph, abduct, mega, and infranodus workflows for refinement and analysis.

Quick Start

Provide a domain corpus and run the RPP generator to produce a four-level, Pareto-compressed knowledge graph.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: rpp
Download link: https://github.com/Zpankz/mcp-skillset/archive/main.zip#rpp

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.