graphify

Generate and query knowledge graphs of codebases using graph theory and machine learning.

Updated Apr 19, 2026

Search Tags:#code analysis #knowledge graph #codebase #software architecture #graphify

Ready to run

npx skills add https://github.com/vathymut/copilot-skills --skill graphify-vathymut

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/vathymut/copilot-skills/tree/main/.github/skills/graphify
Command: npx skills add https://github.com/vathymut/copilot-skills --skill graphify-vathymut

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill transforms codebases into interactive knowledge graphs, enabling users to ask questions about code architecture, file relationships, and project content.

Core Features & Use Cases

Knowledge Graph Construction: Automatically generate a graph that represents the relationships between files, functions, and modules in a codebase.
Graph Exploration: Query the graph to find connections, dependencies, and other relationships within the codebase.
Documentation Generation: Generate documentation for the codebase by analyzing the graph and the code itself.

Quick Start

Run the graphify skill with the command: /graphify /path/to/repo

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 my codebase to visualize software architecture?▼

You can generate a knowledge graph from a codebase by running an analysis tool that uses graph theory to map file, function, and module relationships. This process creates an interactive graph representing your software architecture for exploration.

What's the best way to analyze code dependencies and file relationships in a large repository?▼

Analyzing code dependencies is best done by querying a generated codebase knowledge graph. This method maps connections between files and modules, allowing you to explore project relationships and architecture without manually tracing dependencies.

Does generating a code knowledge graph require a specific Python environment or machine learning library?▼

Yes, generating a code knowledge graph requires Python, a compatible machine learning library, and the graphify package. These dependencies support the graph theory and machine learning techniques used to construct and query the codebase structure.

Can I automatically generate documentation by analyzing my codebase architecture?▼

Yes, you can generate documentation automatically by analyzing a codebase knowledge graph. The tool examines the graph and the underlying code to produce documentation that reflects file relationships and software architecture.

How do I query a codebase knowledge graph to find connections between specific modules?▼

You query a codebase knowledge graph by using graph exploration features to search for specific modules. This allows you to find direct connections, dependencies, and other structural relationships within your software architecture.

What is a codebase knowledge graph and when do I need one for software development?▼

A codebase knowledge graph is a navigable representation of relationships between files, functions, and modules. You need one during software development or architecture analysis to understand project structure, query dependencies, and generate documentation.