What is a HyJAX pattern?

HyJAX is a pattern-matching framework used for relational analysis, allowing the skill to identify and map complex structures within unstructured text data.

Do I need a specific database to use this?

The skill uses an integrated DuckDB workflow to store and query thread data locally, ensuring fast and persistent relational analysis without external infrastructure.

What are Colored S-expressions?

They are a method for representing hierarchical, categorized data visually using Lisp-style syntax with designated color codes for different data types, improving human readability of complex relations.

Is this compatible with other scientific coding tools?

Yes, it is designed to interoperate with the K-Dense-AI ecosystem, including tools for autodiff, category theory modeling (Cat#), and algebraic databases.

How does this help with large conversation histories?

It maps messages to a relational schema (ACSets), making it easy to query multi-hop relationships and identify the most important hub concepts that link different parts of a conversation.

HyJAX Relational Thread Analyzer

Name: HyJAX Relational Thread Analyzer
Author: plurigrid

byplurigrid

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数据科学与机器学习

Analyzes conversation threads and concept networks using relational ACSet patterns and HyJAX structures.

This skill empowers Claude to transform unstructured conversation history into structured relational databases using Category Theory principles like ACSets. It extracts hub concepts, identifies multi-hop relationship paths between ideas, and generates colored S-expressions for visual representation. By leveraging DuckDB for persistence and HyJAX for pattern matching, it allows users to perform sophisticated semantic analysis on complex dialogue threads, calculating metrics like concept entropy and information gain to optimize knowledge extraction and thread mapping.

主要功能

01Colored S-expression generation for hierarchical data visualization

02Automated concept extraction and hub-score analysis via DuckDB

03Multi-hop concept path discovery and relationship weight tracking

04Information entropy and efficiency metrics for thread content analysis

058 GitHub stars

06ACSet-based relational mapping for threads, messages, and concepts

使用场景

01Identifying central themes and hub concepts across multiple communication channels

02Analyzing information density and concept distribution in technical documentation

03Building a persistent knowledge graph from long AI-human chat histories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi hyjax-relational

For use in Claude.ai and ChatGPT

Download Skill