skills.rest
PatientVibes
PatientVibesCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

graphify

Converts files in a directory into a queryable knowledge graph using Python.

Updated May 10, 2026
Search Tags:#code analysis#knowledge graph#data analysis#document analysis#graph visualization
One-click install
npx skills add https://github.com/PatientVibes/agent-skills --skill graphify-patientvibes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/PatientVibes/agent-skills/tree/main/plugins/graphify/skills/graphify
Command: npx skills add https://github.com/PatientVibes/agent-skills --skill graphify-patientvibes

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns any folder of files into a knowledge graph, making it easier to navigate and understand complex information.

Core Features & Use Cases

  • Knowledge Graph Creation: Convert code, documents, papers, images, or videos into a graph that can be queried.
  • Community Detection: Identify and visualize communities of related information within the graph.
  • Querying: Ask questions about the content and get answers based on the graph.
  • Use Case: Imagine you have a large codebase and want to understand the relationships between different components. Use this Skill to create a graph that shows how the components are connected and ask questions to explore the relationships.

Quick Start

Use the graphify skill to create a knowledge graph from the current directory with the command '/graphify'.

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 code and documents?▼

You can generate a knowledge graph from a local folder by running a command that analyzes your files to map relationships and connections between entities. This transforms static documents and code into a queryable graph structure.

Can I transcribe video files and add them to a knowledge graph?▼

Yes, you can transcribe video files and add them to a knowledge graph. The system supports video transcription to extract audio content, converting it into text data that becomes a navigable node within your graph.

Does generating a knowledge graph from files require Python?▼

Generating a knowledge graph from local files requires Python for execution. You must have a Python environment configured to run the necessary scripts and process your directory contents into the graph structure.

How do I visualize communities within a complex codebase?▼

To visualize communities within a complex codebase, you can convert the source code into a knowledge graph. This process identifies and highlights clusters of related components, making it easier to navigate structural relationships.

What is the best way to query relationships across different file types?▼

The best way to query relationships across mixed file types is to transform the directory into a knowledge graph. This allows you to ask questions about the content and get answers based on the connections between documents, code, and images.

Related Skills

Explore More Software Engineering Skills→
abatiloabatilo
10

repo-explore

Clone and analyze GitHub repositories with version-aware code exploration.

Community
Basic
Estrella-231Estrella-231

networkx

Create and analyze graph models in Python with NetworkX.

Community
Intermediate
jacardljacardl

whisper

Convert spoken language into text using local Whisper transcription.

Community
Intermediate
AribSudiaAribSudia
2

arib-graph

Generate a JSON import graph of monorepo file dependencies using ripgrep.

Community
Intermediate