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graphify

Create knowledge graphs from input files and export to Neo4j.

Updated May 18, 2026
Search Tags:#code analysis#knowledge graph#data analysis#graph visualization#graph creation
One-click install
npx skills add https://github.com/shawn-sandy/claude-settings-backup --skill graphify-shawn-sandy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/shawn-sandy/claude-settings-backup/tree/main/skills/graphify
Command: npx skills add https://github.com/shawn-sandy/claude-settings-backup --skill graphify-shawn-sandy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill converts diverse inputs such as code, documentation, research papers, and images into a knowledge graph, facilitating the discovery of hidden connections and insights.

Core Features & Use Cases

  • Knowledge Graph Creation: Turn a folder of files into a structured knowledge graph.
  • Community Detection: Identify clusters of related concepts within the graph.
  • Output Generation: Generate HTML, JSON, and a plain-language audit report for easy access and understanding.
  • Use Case: Imagine you have a folder containing code, papers, and notes on a specific project. Use this Skill to create a graph that visualizes the relationships between different components, aiding in understanding the project's architecture.

Quick Start

Use the graphify skill on your current directory by running /graphify or on a specific path by running /graphify <path>.

Frequently Asked Questions about graphify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a knowledge graph from a folder of code and documents?▼

You can create a knowledge graph from a folder of code and documents by running /graphify on your current directory or specifying a target path to transform the input files into a structured graph.

What is knowledge graph visualization used for in data analysis?▼

Knowledge graph visualization is used in data analysis to identify clusters of related concepts and discover hidden connections within diverse input files, helping analysts understand complex project architectures.

Can I export my knowledge graph to a Neo4j database?▼

Yes, you can export your knowledge graph directly to a Neo4j database, while also generating HTML, JSON, and a plain-language audit report for accessible visualization and incremental updates.

What file formats are supported for knowledge graph creation and output?▼

Knowledge graph creation accepts diverse inputs like code, documentation, research papers, and images, generating structured outputs in HTML, JSON, and plain-language audit report formats.

Does this knowledge graph tool support incremental updates?▼

Yes, the knowledge graph tool supports incremental updates, allowing you to continuously add new input files and documents to an existing graph structure without rebuilding it from scratch.

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