graphify-windows

To convert a codebase into a knowledge graph, run `/graphify <path>` in your project directory. The tool extracts semantic components and dependencies to build a persistent, queryable graph for architecture exploration.

A knowledge graph maps your project's code, documents, and media into interconnected nodes. It helps with project visualization by identifying key components, community clusters, and complex dependencies for easier navigation.

Yes, you need Python and specific libraries installed to build a persistent knowledge graph from code and documents. The Skill relies on these dependencies to perform semantic extraction and community detection.

Yes, you can analyze images and videos as part of your project knowledge graph. The tool supports multi-format inputs, extracting semantic content from visual media alongside code and documents.

The best way to visualize complex software dependencies is using a persistent knowledge graph with community detection. This approach identifies key architectural components and clusters, making large project navigation significantly easier.

Code analysis fails to capture high-level architecture when it lacks semantic extraction and community detection. Building a knowledge graph solves this by mapping relationships and creating god nodes for overarching project visualization.