create-ontology

Plan ontology class changes in Stratio Governance via interactive Markdown workflows.

4|10|Updated Feb 20, 2026

Search Tags:#planning #ontology #governance #domain-modeling #data-architecture #semantic-layer #markdown-plans

Ready to run

npx skills add https://github.com/Stratio/genai-agents --skill create-ontology

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: create-ontology
Source: https://github.com/Stratio/genai-agents/tree/main/shared-skills/create-ontology
Command: npx skills add https://github.com/Stratio/genai-agents --skill create-ontology

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates, extends or deletes ontology classes in Stratio Governance through an interactive planning workflow that starts from user-provided reference data and ends with a reviewed Markdown plan ready for MCP execution.

Core Features & Use Cases

Interactive planning loop: proposes ontology classes, data properties and relationships, iterates with the user for approval.
Reference-driven seeding: reads local reference files like .owl, .ttl, CSVs or business docs to seed proposals.
Safe change management: supports create, update (ADD), and delete operations with safeguards around Published views and destructive actions.

Quick Start

Supply an optional technical domain and start the interactive planning session to model or extend an ontology, then review and execute the generated Markdown plan.

Frequently Asked Questions about create-ontology

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

FAQPage Schema

How do I create an ontology from existing OWL or CSV reference files?▼

To create an ontology from reference files, you supply local .owl, .ttl, CSVs, or business docs to seed the interactive planning workflow. The tool reads these inputs to propose ontology classes, data properties, and relationships for your review and approval.

How does interactive ontology planning work for domain modeling?▼

Interactive ontology planning works through a user-guided loop that proposes domain classes and properties, iterates with you for approval, and produces a reviewable Markdown plan. This ensures formal domain ontologies are accurately modeled before any changes are executed.

Can I safely delete ontology classes in Stratio Governance without breaking published views?▼

You can safely delete ontology classes in Stratio Governance because the workflow includes safeguards around Published views and destructive actions. It requires user confirmation and skips destructive edits when necessary to protect your existing data architecture.

What is the best way to extend an existing domain ontology with new data properties?▼

The best way to extend a domain ontology is using the interactive planning loop to propose new data properties and relationships. You review the generated Markdown plan, confirm the additions, and the tool applies the update operations through governance MCP calls.

Do I need to provide a technical domain before starting the ontology creation workflow?▼

You do not need to provide a technical domain before starting; it is optional. You can start the interactive planning session immediately to model or extend an ontology and review the generated Markdown plan for execution.

What formats can I use to seed ontology class proposals in a data governance workflow?▼

You can use .owl, .ttl, CSVs, or business docs as reference files to seed ontology class proposals. The planning workflow reads these formats to extract domain semantics and generate a structured Markdown plan for governance approval.