insurance-ontology-starter

Name: insurance-ontology-starter
Availability: InStock
Author: TextQL

Provide a prebuilt insurance ontology for policy and claims data workflows.

Updated Jun 26, 2026

Search Tags:#ontology #customization #data modeling #insurance #TextQL

Ready to run

npx skills add https://github.com/TextQLLabs/ontology-starter-kits --skill insurance-ontology-starter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: insurance-ontology-starter
Source: https://github.com/TextQLLabs/ontology-starter-kits/tree/main/insurance
Command: npx skills add https://github.com/TextQLLabs/ontology-starter-kits --skill insurance-ontology-starter

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a ready-to-use insurance ontology, allowing users to quickly adapt and customize it to fit their specific needs without building from scratch.

Core Features & Use Cases

Prebuilt Ontology: Offers a comprehensive, governed insurance ontology for policy and claims data, including entities, metrics, classification, governance, and known failure modes.
Customization: Users can connect their data, adapt the ontology, and start asking real questions, with the model growing from the answers.
Use Case: Ideal for P&C carriers, life insurers, MGAs, reinsurers, or brokers seeking a ready-to-run ontology for policy/claims data in TextQL/Ana.

Quick Start

Connect this repo to Ana via the Git connector, connect your warehouse, validate and adapt the ontology with MIGRATION.md, and start asking questions to build the model.

Frequently Asked Questions about insurance-ontology-starter

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

FAQPage Schema

What is a prebuilt insurance ontology for policy and claims data?▼

A prebuilt insurance ontology provides a governed data model for policy and claims data, including entities, metrics, classification, and known failure modes, enabling quick adaptation without building from scratch.

How do I customize an insurance ontology for P&C or life insurance workflows?▼

You customize the insurance ontology by connecting your data warehouse, validating the schema mapping, and adapting identity resolution and governance rules so the model grows from the questions you ask.

Do I need a data warehouse connection to use a prebuilt insurance ontology?▼

Yes, using a prebuilt insurance ontology requires a data warehouse connection alongside a TextQL/Ana setup to map your schema and validate policy and claims data workflows.

Can reinsurers and MGAs adapt a governed insurance ontology for their workflows?▼

Yes, MGAs, reinsurers, P&C carriers, life insurers, and brokers can adapt this governed insurance ontology to fit their specific policy and claims workflows without building a model from scratch.

What are the limitations of using a prebuilt insurance ontology?▼

The prebuilt insurance ontology requires manual schema mapping, identity resolution adjustments, and governance configuration, meaning it is a starting point that must be validated against your specific warehouse data rather than working instantly.