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graphify

Convert a folder of code, documents, papers, or images into a queryable knowledge graph.

Updated Jul 5, 2026
Search Tags:#data visualization#knowledge graph#information retrieval#graph generation#corpus analysis
One-click install
npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill graphify-prince3626ezechiel-lang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir/tree/main/skills/graphify
Command: npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill graphify-prince3626ezechiel-lang

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms a folder of code, documents, papers, or images into a queryable knowledge graph, providing a structured way to explore and interact with the information contained within.

Core Features & Use Cases

  • Knowledge Graph Generation: Converts a folder of content into a graph that can be queried.
  • Data Visualization: Outputs JSON, HTML, Obsidian vault, and plain-language reports.
  • Use Case: If you have a collection of research papers, code repositories, or personal notes, this Skill can help you create a graph that allows you to easily find connections and insights.

Quick Start

Use the graphify skill to create a knowledge graph from the 'research_papers' folder.

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 research papers and code?▼

To create a knowledge graph from a folder of research papers or code, use this Skill to convert your corpus into a queryable graph structure that maps relationships and insights across documents.

What output formats are supported for visualizing a generated knowledge graph?▼

Knowledge graph visualization outputs include JSON for data interchange, HTML for interactive web viewing, an Obsidian vault for networked note-taking, and plain-language reports for textual summaries.

Do I need Python to generate a knowledge graph from my documents?▼

Yes, you need Python and specific libraries installed in your environment to process the corpus and generate the knowledge graph, as the Skill relies on Python for its core processing and visualization logic.

Can I build a knowledge graph from a folder containing images and code files together?▼

Yes, you can build a knowledge graph from a mixed folder containing images, code files, documents, and papers, allowing you to query connections across diverse file types within a single repository.

What is the best way to analyze connections across a large corpus of documents?▼

The best way to analyze connections across a large corpus is by transforming the folder into a queryable knowledge graph, which structurally maps the relationships between files for easier information retrieval.

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