graphify

Construct knowledge graphs from structured data in local directories.

42|7|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Rootly-AI-Labs/rootly-graphify-importer --skill graphify-rootly-ai-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/Rootly-AI-Labs/rootly-graphify-importer/tree/main/graphify
Command: npx skills add https://github.com/Rootly-AI-Labs/rootly-graphify-importer --skill graphify-rootly-ai-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables users to build a persistent, structured knowledge graph from their local files, facilitating deeper semantic analysis and information retrieval.

Core Features & Use Cases

  • Knowledge Graph Construction: Automatically create a graph from local files, including incidents, alerts, and service catalogs.
  • Semantic Analysis: Perform detailed analysis on the graph to uncover patterns, relationships, and insights.
  • Use Case: For a cybersecurity team, this Skill can be used to analyze incident reports and alerts, building a graph that reveals potential vulnerabilities and helps with decision-making.

Quick Start

Use the graphify skill to build a knowledge graph from the 'incidents' folder.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I build a knowledge graph from local files for semantic analysis?

To build a knowledge graph from local files, you parse structured data within local directories to construct a queryable graph, enabling semantic analysis and the discovery of patterns and relationships across your information.

What is knowledge graph construction used for in cybersecurity incident analysis?

Knowledge graph construction in cybersecurity incident analysis aggregates incident reports and alerts into a structured graph, revealing potential vulnerabilities and relationships to facilitate deeper information retrieval and decision-making.

Can I visualize knowledge graph patterns and relationships from local directories?

Yes, you can visualize knowledge graph patterns and relationships from local directories. The process requires libraries for parsing, indexing, and visualization of graph structures to represent your local data.

Does graphify require external dependencies to parse and index structured data?

Graphify requires no external dependencies to parse and index structured data. It internally leverages libraries for parsing, indexing, and visualization of graph structures to transform local directories into a queryable format.

What is the best way to perform semantic analysis on a local service catalog?

The best way to perform semantic analysis on a local service catalog is constructing a persistent knowledge graph from the structured data, which uncovers patterns and relationships for deeper information retrieval.