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MohammedSaudAlsahli
MohammedSaudAlsahliCOMMUNITY
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𝕏@MohammedDentalHGitHub

graphify

Convert code, documents, papers, images, and videos into knowledge graphs.

Updated Mar 11, 2025
Search Tags:#code analysis#knowledge graph#data exploration#document analysis#graph visualization
One-click install
npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill graphify-mohammedsaudalsahli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/MohammedSaudAlsahli/dotfiles/tree/main/ai/agents-skills/graphify
Command: npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill graphify-mohammedsaudalsahli

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms codebases, documents, papers, images, and videos into navigable knowledge graphs, enabling deep analysis and exploration of complex relationships and data.

Core Features & Use Cases

  • Knowledge Graph Creation: Turn folders of code, docs, papers, images, or videos into persistent knowledge graphs.
  • Query and Traversal: Explore the graph using natural language queries or by traversing paths between concepts.
  • Visualization: Generate visual representations of the graph, suitable for embedding in documents or sharing.
  • Export: Export the graph to various formats, including JSON, SVG, and GraphML for further analysis with other tools.
  • Use Case: Imagine you have a large codebase with multiple components. Use this Skill to create a knowledge graph that visually represents the relationships between different components, making it easier to understand the system's architecture and navigate complex dependencies.

Quick Start

Run /graphify /path/to/directory to generate a knowledge graph for a given directory.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I convert a directory of code and documents into a knowledge graph?▼

To convert a directory of code and documents into a knowledge graph, run `/graphify /path/to/directory`. This transforms folders of code, docs, papers, images, or videos into persistent graphs for deep analysis and exploration.

What is the best way to visualize relationships within a large codebase?▼

The best way to visualize relationships within a large codebase is generating a knowledge graph. This creates visual representations of component dependencies, making it easier to understand system architecture and navigate complex structures.

Can I export knowledge graphs to JSON or GraphML for further analysis?▼

Yes, you can export knowledge graphs to JSON, SVG, and GraphML formats. This allows you to extract the generated graph data for further analysis or visualization using other external tools.

Do I need Python libraries like networkx and pandas to generate graph visualizations?▼

Yes, you need Python libraries including graphifyy, networkx, pandas, and requests installed. These dependencies are required to process content and render the graph visualizations properly.

Does graphify support querying and traversing paths between concepts in documents?▼

Graphify supports querying and traversing paths between concepts in documents. You can explore the generated graph using natural language queries or by traversing paths to discover complex data relationships.

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