graphify

Convert documents and code into a structured knowledge graph with cluster detection.

100|18|Updated Apr 3, 2026

Search Tags:#knowledge graph #codebase analysis #document analysis #graph analysis #information organization

Ready to run

npx skills add https://github.com/Mybono/ai-orchestrator --skill graphify-mybono

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/Mybono/ai-orchestrator/tree/main/skills/graphify
Command: npx skills add https://github.com/Mybono/ai-orchestrator --skill graphify-mybono

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires graphifyy, python, whisper, pdfplumber, astor, neo4j, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill converts various inputs like code, documents, papers, and images into a navigable knowledge graph, enabling you to uncover previously unseen connections and insights.

Core Features & Use Cases

Knowledge Graph Creation: Automatically generate a graph from diverse inputs such as code, documents, papers, and images.
Community Detection: Identify clusters of related concepts within the graph.
Multiple Outputs: Provide interactive HTML, JSON, and a plain-language audit report.
Use Case: Ideal for organizing research notes, understanding complex codebases, or structuring extensive documentation.

Quick Start

Run the 'graphify' skill to create a knowledge graph from the current directory contents.

Frequently Asked Questions about graphify

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

FAQPage Schema

How do I generate a knowledge graph from a codebase?▼

You can build a knowledge graph from a codebase by converting source files and documents into a structured graph, which identifies clusters of related concepts and generates visual outputs.

Can I create a knowledge graph from PDF documents and images?▼

Yes, you can create a knowledge graph from PDFs and images by extracting content with tools like pdfplumber and whisper, then transforming that text into a navigable graph structure.

What is the best way to analyze complex codebases and uncover hidden connections?▼

Analyzing complex codebases is best achieved by converting source code into a structured knowledge graph, which automatically identifies clusters of related concepts and generates interactive visual representations.

Does graph generation require Neo4j to store and visualize the knowledge graph?▼

Graph generation uses Neo4j as a dependency to construct and store the knowledge graph, while also providing interactive HTML and JSON outputs for immediate visual representation.

What output formats are produced when converting documents into a knowledge graph?▼

Converting documents into a knowledge graph produces multiple outputs including interactive HTML for visualization, JSON for data integration, and a plain-language audit report summarizing the findings.