graphify

Build and analyze codebase dependency graphs with NetworkX.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/muskie9/agents --skill graphify-muskie9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/muskie9/agents/tree/main/skills/graphify
Command: npx skills add https://github.com/muskie9/agents --skill graphify-muskie9

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables you to analyze and understand your codebase through graph-based visualization and analysis.

Core Features & Use Cases

  • Graph Building: Automatically build a graph of your codebase based on source files, dependencies, and relationships.
  • Graph Analysis: Perform various analyses on the graph, such as finding most connected nodes (god nodes), surprising connections (cross-community edges), and suggesting questions for further exploration.
  • Use Case: Imagine you have a complex codebase with multiple interdependencies. Use this Skill to visualize the relationships between different modules and identify potential bottlenecks or issues.

Quick Start

Load your codebase into graphify and run 'graphify analyze' to generate insights.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I visualize codebase dependencies to identify architectural bottlenecks?

You can visualize codebase dependencies by constructing a graph of your source files and relationships. This graph analysis reveals highly connected nodes and cross-community edges, highlighting potential architectural bottlenecks and surprising connections for further exploration.

What is codebase graph analysis and how does it help with software architecture visualization?

Codebase graph analysis models your software architecture as a network of dependencies. It helps software architecture visualization by automatically mapping relationships between modules, identifying god nodes, and suggesting questions to guide further exploration.

Do I need Python and NetworkX to analyze my codebase dependencies?

Yes, you need Python 3.8 or higher and the NetworkX library to analyze codebase dependencies. These dependencies are required to automatically model and visualize code relationships.

What's the best way to find god nodes and cross-community edges in a complex codebase?

The best way to find god nodes and cross-community edges is to run automated graph analysis on your codebase. This process maps source files as a network, highlighting highly connected nodes and surprising connections that indicate architectural issues.

Can I debug software architecture issues using codebase visualization?

Yes, you can debug software architecture issues using codebase visualization by mapping interdependencies. Visualizing relationships between different modules helps identify potential bottlenecks, god nodes, and unexpected cross-community connections.