Can Shadow Goblin help with scientific research documentation?

Yes, it integrates with a bib.duckdb system containing hundreds of citations, helping Claude provide contextually relevant bibliographic references for scientific tasks.

How does this skill handle graph data?

It utilizes NetworkX as a universal hub, allowing Claude to manipulate and analyze complex network structures within a standardized scientific framework.

What is the primary purpose of the Shadow Goblin skill?

Shadow Goblin provides Claude with specialized mathematical and scientific capabilities, specifically focusing on topological graph theory, bicomodule structures, and compositional coherence in complex systems.

What is GF(3) Naturality in this context?

GF(3) Naturality is a mathematical constraint used by the skill to ensure that triads within the system satisfy specific algebraic properties, maintaining structural integrity across the Cat# equipment structure.

Shadow Goblin

Name: Shadow Goblin
Author: plurigrid

byplurigrid

•

Data Science & ML

Integrates advanced topological graph theory and bicomodule structures into Claude for complex scientific computing and algebraic modeling.

Shadow Goblin is a specialized scientific skill designed for the K-Dense-AI ecosystem, enabling Claude to perform sophisticated tasks involving topological graph theory and Category Theory (Cat#). By leveraging NetworkX as a universal graph hub and implementing GF(3) naturality, this skill ensures compositional coherence across complex scientific workflows. It is particularly useful for researchers and developers working with 'topological chemputers' or algebraic equipment structures that require rigorous mathematical naturality and ergodic processing.

Key Features

01Automated bibliographic referencing via bib.duckdb integration

02Bicomodule mapping for Cat# equipment structure management

032 GitHub stars

04Ergodic trit processing for multi-state algebraic systems

05Seamless integration with NetworkX for advanced graph theory operations

06GF(3) naturality verification to ensure compositional coherence

Use Cases

01Managing large-scale scientific bibliography data for research automation

02Enforcing Category Theory constraints in scientific software architecture

03Modeling complex chemical or biological systems as topological graphs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi shadow-goblin

For use in Claude.ai and ChatGPT

Download Skill