Does it include support for graph analytics?

Absolutely. It covers core graph algorithms such as PageRank for influence, Louvain for community detection, and various centrality measures for bottleneck analysis.

Which graph databases does this skill support?

This skill provides guidance and query patterns for Neo4j (Cypher), RDF stores (SPARQL), and various property graph implementations using Gremlin.

How does it handle temporal or time-series data in graphs?

The skill includes patterns for versioning nodes and applying temporal properties to relationships to track how connections change over time.

Can this skill help with database migrations?

Yes, it provides logic for mapping traditional relational tables into graph-based entity-relationship models, including entity resolution and schema definition.

Knowledge Graph Builder

Name: Knowledge Graph Builder
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Database Management

Architects and implements sophisticated knowledge graphs using semantic relationships and advanced query patterns for Neo4j, RDF, and property graphs.

The Knowledge Graph Builder skill empowers Claude to design and query complex data structures that capture the rich, semantic connections between entities. It provides structured guidance on graph data modeling, ontology design, and the implementation of industry-standard query languages like Cypher, SPARQL, and Gremlin. Ideal for developers building recommendation engines, fraud detection systems, or enterprise knowledge bases, this skill ensures that graph architectures are optimized for both performance and deep relational reasoning, enabling users to move beyond the limitations of traditional relational databases.

Key Features

01Implementation of graph algorithms like PageRank, Louvain, and Pathfinding

022 GitHub stars

03Advanced ontology design including hierarchical and categorical taxonomies

04Comprehensive graph modeling for nodes, typed relationships, and properties

05Optimized Cypher, SPARQL, and Gremlin query pattern generation

06Entity resolution and temporal modeling for evolving data structures

Use Cases

01Developing real-time recommendation systems based on multi-hop relationship traversals

02Building fraud detection engines that identify suspicious network patterns and clusters

03Creating semantic knowledge management layers to unify disparate enterprise data sources

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills knowledge-graph-builder

For use in Claude.ai and ChatGPT

Download Skill