graphify-windows

Name: graphify-windows
Availability: InStock
Author: shuff57

Convert a folder of files into a knowledge graph with community detection.

Updated Mar 29, 2026

Search Tags:#knowledge graph #file analysis #graph analysis #community detection #knowledge organization

Ready to run

npx skills add https://github.com/shuff57/agent-evo --skill graphify-windows-shuff57

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify-windows
Source: https://github.com/shuff57/agent-evo/tree/main/skills/graphify
Command: npx skills add https://github.com/shuff57/agent-evo --skill graphify-windows-shuff57

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires graphifyy, Whisper, pdfplumber, astor, networkx, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill transforms any collection of files, including code, documents, papers, and images, into a navigable knowledge graph, enabling you to discover connections and insights you might have missed.

Core Features & Use Cases

Knowledge Graph Creation: Turn any folder of files into a structured knowledge graph.
Community Detection: Identify clusters of related concepts within the graph.
Multiple Outputs: Generates interactive HTML, GraphRAG-ready JSON, and a plain-language audit report.
Use Case: Use it to understand the architecture of a new codebase or to organize a research corpus of papers and notes.

Quick Start

To create a knowledge graph from the current directory, run: /graphify

Frequently Asked Questions about graphify-windows

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 files?▼

You can generate a knowledge graph from a folder by running the processing command. This Skill analyzes your code, documents, and images to build a structured graph with community detection and interactive outputs.

What is community detection in graph analysis and how does it organize files?▼

Community detection identifies clusters of related concepts within your knowledge graph. The Skill applies this technique to your files, organizing code and documents into connected groups to reveal hidden architectural or topical relationships.

Does this knowledge graph tool work with code, images, and PDF papers?▼

Yes, the tool works with code, images, and PDF papers. It uses dependencies like pdfplumber for documents and Whisper for images to extract content, allowing you to build a knowledge graph from mixed file types.

Do I need Python packages installed to run file analysis for graph construction?▼

Yes, you need Python packages installed to run file analysis for graph construction. The Skill requires dependencies including networkx, graphifyy, astor, pdfplumber, and Whisper to process your files and generate the graph outputs.

What outputs are generated when converting documents into a knowledge graph?▼

Converting documents into a knowledge graph generates multiple outputs: interactive HTML for navigation, GraphRAG-ready JSON for applications, and a plain-language audit report. These outputs help you understand codebase architecture or organize research papers.