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graphify-windows

Convert folders of files into knowledge graphs with HTML, JSON, and reports.

Updated Apr 5, 2026
Search Tags:#docs#code#extraction#knowledge-graph#clustering#graphify
One-click install
npx skills add https://github.com/kireevkit15-sys/-1 --skill graphify-windows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify-windows
Source: https://github.com/kireevkit15-sys/-1/tree/main/skills/graphify
Command: npx skills add https://github.com/kireevkit15-sys/-1 --skill graphify-windows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turn any folder of files into a navigable knowledge graph with persistent audit trails, enabling cross-document insights and structured outputs.

Core Features & Use Cases

  • Turn stacks of code, docs, papers, and images into a graph of concepts, relationships, and clusters with outputs in HTML, JSON, and a shareable report.
  • Supports code, documents, and media for end-to-end exploration, discovery, and knowledge management across projects.

Quick Start

Drop a folder into graphify to generate a knowledge graph, an interactive HTML visualization, and JSON graph data for downstream analysis.

Frequently Asked Questions about graphify-windows

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

FAQPage Schema
How do I turn a folder of code and documents into a knowledge graph?▼

To turn a folder into a knowledge graph, you drop the directory into graphify to extract concepts, relationships, and clusters, generating interactive HTML, JSON graph data, and a shareable report.

Can I extract a knowledge graph from mixed media and papers?▼

Yes, extracting a knowledge graph from mixed media and papers is supported. The tool processes code, documents, and images to enable end-to-end exploration and structured knowledge management.

What output formats are generated when building a knowledge graph from files?▼

Building a knowledge graph from files generates outputs in HTML for interactive visualization, JSON for downstream analysis, and a shareable report, alongside persistent graph data and audit trails.

How does AST extraction work for codebase knowledge graphs?▼

AST extraction for codebase knowledge graphs works by orchestrating semantic subagents to parse folder contents, extracting structural concepts and relationships to build a navigable graph with audit trails.

Does the knowledge graph generation require any dependencies?▼

No, knowledge graph generation requires no external dependencies to run. You can customize path, mode, and outputs using optional flags without installing additional components.

What is the best way to visualize relationships across multiple project documents?▼

The best way to visualize relationships across project documents is to process the folder into a structured knowledge graph, which clusters concepts and exports an interactive HTML visualization for cross-document insights.

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