graphify-windows

Convert source code, documentation, and media files into knowledge graphs.

Updated Feb 26, 2026

Search Tags:#code analysis #knowledge graph #document analysis #community detection #graph construction

Ready to run

npx skills add https://github.com/Tristan-stack/stat-tracker --skill graphify-windows-tristan-stack

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify-windows
Source: https://github.com/Tristan-stack/stat-tracker/tree/main/.claude/skills/graphify
Command: npx skills add https://github.com/Tristan-stack/stat-tracker --skill graphify-windows-tristan-stack

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users build and explore knowledge graphs from a variety of sources including code, documents, and media files, making complex data more accessible and understandable.

Core Features & Use Cases

Graph Construction: Convert codebases, documentation, papers, images, and videos into knowledge graphs.
Semantic Extraction: Extract entities, relationships, and knowledge from the graph data.
Community Detection: Identify and visualize communities within the graph.
Query and Analysis: Perform searches, traverse paths, and get explanations about the graph.
Use Case: With this Skill, a developer could upload a codebase and quickly understand the relationships between different components, the flow of data, and the overall architecture.

Quick Start

Use the graphify-windows skill with the command: /graphify /path/to/your/project

Frequently Asked Questions about graphify-windows

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

FAQPage Schema

How do I build a knowledge graph from a codebase to understand component relationships?▼

To build a knowledge graph from a codebase, you can use this Skill to convert source code into a graph structure. It extracts entities and relationships, enabling you to explore the overall architecture and data flow between different components.

Can I extract entities and relationships from documents and media files for graph construction?▼

Yes, you can extract entities and relationships from documents and media files for graph construction. This Skill parses documentation, papers, images, and videos, converting them into a queryable knowledge graph for semantic analysis.

Does this knowledge graph tool support community detection and path traversal?▼

Yes, this knowledge graph tool supports community detection and path traversal. It identifies and visualizes communities within the graph data, allowing users to perform searches, traverse paths, and get explanations about complex relationships.

Do I need Python libraries like networkx to parse code and visualize graph data?▼

Yes, you need Python libraries like networkx to parse code and visualize graph data. This Skill requires various Python dependencies, including networkx and python-llm, to handle the extraction, visualization, and semantic analysis tasks.

What is the best way to analyze complex relationships in source code and documentation?▼

The best way to analyze complex relationships in source code and documentation is converting them into a knowledge graph. This approach extracts semantic connections, making complex data structures more accessible and understandable through visual querying.