What is GF(3) triadic selection?

It is a ternary logic system used by this skill to categorize diagrams into three states: Minus (validation/constraints), Ergodic (neutral flows), and Plus (generation/composition) to ensure balanced visual feedback.

How does this skill retrieve diagrams?

The skill queries a local DuckDB database (~/mermaid_diagrams.duckdb) containing hundreds of pre-defined Mermaid templates, selecting them based on the current conversation's context.

When does Claude trigger a bmorphism diagram?

Diagrams are automatically interleaved during architecture discussions, protocol design, data modeling, or when loading specific scientific skill dependencies.

Which Mermaid diagram types are supported?

It supports a comprehensive suite of Mermaid types including graphs, flowcharts, state diagrams, sequence diagrams, class diagrams, pie charts, and ER diagrams.

Bmorphism Diagrams

Name: Bmorphism Diagrams
Author: plurigrid

byplurigrid

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Ciencia de Datos y ML

Interleaves context-aware Mermaid diagrams into interactions using GF(3) triadic selection logic.

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Bmorphism Diagrams is a specialized Claude Code skill designed to enhance technical discourse through mathematical visualization. It leverages a DuckDB-backed library of over 250 Mermaid diagrams to provide visual context during architecture, protocol design, and data modeling tasks. By utilizing a GF(3) triadic selection protocol—categorizing diagrams into validation (minus), neutral (ergodic), and generative (plus) states—it ensures that visual feedback is both contextually relevant and logically balanced. This skill is ideal for developers working with complex systems who require rigorous, topological representations of their software logic and dependencies.

Características Principales

Contextual interleaving of Mermaid flowcharts, sequence diagrams, and state machines
GF(3) triadic logic for balanced presentation of constraints and generative flows
DuckDB integration for high-performance retrieval of architectural templates
2 GitHub stars
Entropy-seeded selection for inspiration during system design and modeling
Scientific skill mapping via Cat# equipment structures and bicomodules

Casos de Uso

Visualizing complex microservices architectures and dependency graphs
Modeling data relationships and type hierarchies using class and ER diagrams
Documenting protocol designs and state machine transitions in real-time

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Características Principales

Contextual interleaving of Mermaid flowcharts, sequence diagrams, and state machines
GF(3) triadic logic for balanced presentation of constraints and generative flows
DuckDB integration for high-performance retrieval of architectural templates
2 GitHub stars
Entropy-seeded selection for inspiration during system design and modeling
Scientific skill mapping via Cat# equipment structures and bicomodules

Casos de Uso

Visualizing complex microservices architectures and dependency graphs
Modeling data relationships and type hierarchies using class and ER diagrams
Documenting protocol designs and state machine transitions in real-time