graphify

Convert files into a knowledge graph with community detection and generate HTML, JSON, and audit reports.

1|Updated Feb 2, 2026

Search Tags:#data visualization #knowledge graph #file analysis #community detection #graph construction

Ready to run

npx skills add https://github.com/samChang72/custom-skills --skill graphify-samchang72

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/samChang72/custom-skills/tree/main/claude-config/skills/graphify
Command: npx skills add https://github.com/samChang72/custom-skills --skill graphify-samchang72

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires graphifyy, whisper, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns any collection of files (code, documents, images) into a structured knowledge graph, revealing connections and enabling deeper understanding.

Core Features & Use Cases

Knowledge Graph Creation: Converts files into a graph with interconnected nodes and relationships.
Community Detection: Identifies clusters of related concepts within the graph.
Multiple Outputs: Generates interactive HTML, JSON, and an audit report.
Use Case: Use this Skill to organize a research corpus or understand the architecture of a new codebase.

Quick Start

Run the graphify skill on the current directory with the command: /graphify

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?▼

To create a knowledge graph from a folder of code and documents, you can use a tool that extracts entities and relationships from files. This process converts your collection into a navigable graph with community detection to reveal connections.

What is community detection in knowledge graph construction?▼

Community detection in knowledge graph construction is the process of identifying clusters of related concepts within interconnected nodes. It helps reveal hidden connections and structure within a collection of code, documents, or images.

Do I need Python to extract entities and relationships from files?▼

Yes, you need Python installed to extract entities and relationships from files. The process requires Python and specific libraries for parsing different file types and constructing the graph structure from your code, documents, and images.

Can I generate an interactive HTML visualization from a directory of files?▼

Yes, you can generate an interactive HTML visualization from a directory of files. The graph construction process outputs interactive HTML, JSON data, and an audit report to help you navigate and understand the extracted relationships.

What is the best way to analyze a new codebase architecture?▼

The best way to analyze a new codebase architecture is by converting the source files into a structured knowledge graph. This approach extracts entities and detects related clusters, giving you a clear visual map of the system's connections.

Does file analysis for graph construction work with images?▼

Yes, file analysis for graph construction works with images. The process is designed to extract entities and relationships from code, documents, and image files, turning them into interconnected nodes within the graph.