graphify

Convert code, documents, papers, images, and videos into a structured knowledge graph.

Updated Jun 21, 2026
One-click install
npx skills add https://github.com/infantesromeroadrian/arca-agent --skill graphify-infantesromeroadrian
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/infantesromeroadrian/arca-agent/tree/main/template/skills/graphify
Command: npx skills add https://github.com/infantesromeroadrian/arca-agent --skill graphify-infantesromeroadrian

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill converts a wide variety of input types (code, documents, papers, images, videos) into a navigable knowledge graph, enabling users to ask questions and receive in-depth answers about the content.

Core Features & Use Cases

  • Knowledge Graph Creation: Generate a graph from code, documents, papers, images, or videos.
  • Queryable Knowledge Base: Perform queries on the graph to gain insights and answer questions.
  • Community Detection: Identify cross-document connections and related concepts.
  • Usage Scenarios: Ideal for analyzing codebases, project content, or academic papers, offering a deeper understanding of the material.

Quick Start

Use the graphify skill to create a knowledge graph from the current directory.

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 my codebase?

You can generate a knowledge graph from your codebase by running the Skill against your current project directory. It converts source code into a structured, queryable graph to help you understand relationships and answer questions.

What types of input data can be converted into a knowledge graph?

You can convert code, documents, academic papers, images, and videos into a knowledge graph. The Skill structures these diverse inputs to enable cross-document correlation, community detection, and queryable insights.

Do I need Python to generate a knowledge graph from documents and images?

Yes, Python is required for data processing and visualization libraries when generating a knowledge graph. It handles the backend conversion of your inputs into a structured, navigable format.

Can I query a knowledge graph to find connections across academic papers?

Yes, you can query the generated knowledge graph to identify cross-document connections and related concepts across academic papers. This feature allows you to extract insights and answer questions about your research material.

What is the best way to analyze project content and document correlations?

Converting project content into a navigable knowledge graph is an effective way to analyze document correlations. This approach identifies cross-document connections and related concepts for deeper understanding.