rpp
CommunityGenerates 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 requiredComponents
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.
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