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Ritabrata-Chakraborty
Ritabrata-ChakrabortyCOMMUNITY
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graphify

Convert diverse inputs into a queryable knowledge graph with community detection.

Updated Jun 6, 2026
Search Tags:#code analysis#knowledge graph#document analysis#graph query#community detection
One-click install
npx skills add https://github.com/Ritabrata-Chakraborty/Claude-Setup --skill graphify-ritabrata-chakraborty
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/Ritabrata-Chakraborty/Claude-Setup/tree/main/skills/graphify
Command: npx skills add https://github.com/Ritabrata-Chakraborty/Claude-Setup --skill graphify-ritabrata-chakraborty

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools, enabling in-depth analysis and exploration of complex information structures.

Core Features & Use Cases

  • Knowledge Graph Creation: Converts diverse inputs into a structured graph.
  • Community Detection: Identifies and surfaces cross-document connections.
  • Query Tools: Enables users to ask questions about the graph, find paths, and get explanations.
  • Use Case: Use this Skill to analyze a software project's codebase and documentation, creating a graph that can be queried to answer questions like "What is the relationship between this function and its callers?" or "What are the main components of this system?"

Quick Start

Use the /graphify command to process a local directory or a GitHub repository and generate a knowledge graph.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I generate a knowledge graph from a codebase and documentation?▼

To generate a knowledge graph from a codebase, use the /graphify command to process a local directory or GitHub repository, converting code and documents into a structured, persistent graph with community detection.

What is community detection in knowledge graphs and how does it help code analysis?▼

Community detection in a knowledge graph identifies and surfaces cross-document connections, helping you analyze relationships like how a function relates to its callers or mapping out the main components of a software system.

Do I need Python installed to build a knowledge graph from documents and videos?▼

Yes, you need Python installed to build a knowledge graph from documents and videos, as Python is required for the extraction and graph construction processes to function correctly.

Can I query a knowledge graph to find paths and explain relationships between components?▼

Yes, you can query a knowledge graph to find paths and explain relationships between components using built-in query tools, allowing you to ask questions and get explanations about complex information structures.

Does graph creation support incremental updates for new documents and images?▼

Yes, graph creation supports incremental updates, allowing you to add new documents, images, and videos to an existing persistent knowledge graph without rebuilding the entire structure from scratch.

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