Model knowledge graphs as bounded n-SuperHyperGraphs with grounded uncertainty and autopoietic refinement.
npx skills add https://github.com/Zpankz/mcp-skillset --skill mega
Please help me install this Agent Skill. Skill: mega Source: https://github.com/Zpankz/mcp-skillset/tree/main/mega Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill mega
MEGA provides a structured framework to manage and reason over complex knowledge graphs by using bounded n-SuperHyperGraphs with grounded uncertainty, enabling self-refactoring and controlled complexity escalation.
Provide an initial graph and a query to trigger MEGA's escalation, resulting in a validated, resolved holon.
High-intent search queries and answers about installing and using this skill.
Manage uncertainty in complex knowledge graphs by using bounded n-SuperHyperGraphs with plithogenic attributes that track confidence, coverage, and source quality for grounded reasoning.
Self-refactoring in dynamic knowledge graph modeling uses autopoietic loops to bridge gaps, compress redundancy, and expand abstractions when structural invariants fail.
Pareto-governed complexity escalation starts at simple graphs and elevates to n-SuperHyperGraphs only when necessary to preserve tractability during multi-scale reasoning.
Yes, the framework supports deliberate integration with InfraNodus and Obsidian through defined components to enable end-to-end personal knowledge management workflows.
Yes, structured uncertainty modeling requires scipy and numpy to compute plithogenic attributes and maintain core invariants like controlled complexity escalation.
Avoid n-SuperHyperGraphs for biomedical informatics when simpler graph models suffice, as unnecessary complexity escalation violates Pareto-governed tractability invariants.
silversteinCreate and analyze graph structures with NetworkX in Python.
ZpankzOrchestrate InfraNodus workflows for knowledge graphs and Obsidian documentation.
ZpankzDesign data schemas and knowledge models for relational, document, and graph domains.
DebuggingInTearsDesign and optimize graph schemas and traversals for SurrealDB knowledge graphs.
