ontology

Create and query entity relationship graphs with Python scripts.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/looklee/LookaleeCode --skill ontology-looklee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ontology
Source: https://github.com/looklee/LookaleeCode/tree/main/LookaleeCode/desktop/skills/ontology
Command: npx skills add https://github.com/looklee/LookaleeCode --skill ontology-looklee

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, json, uuid, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive system for representing, querying, and maintaining structured knowledge as a verifiable graph, enabling smarter decision-making systems.

Core Features & Use Cases

  • Knowledge Graph Modeling: Define entities such as persons, projects, tasks, and documents with types, properties, and relations.
  • Query and Retrieval: Search for entities, their properties, and their interconnected relationships efficiently.
  • Workflow Integration: Facilitate multi-step planning, dependency tracking, and state sharing across various AI skills and modules.
  • Example: Use this Skill to create a project, link tasks and team members, and query all pending tasks assigned to a specific person.

Quick Start

Initialize the ontology storage, define your schemas, then create and relate entities to build your knowledge base.

Frequently Asked Questions about ontology

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

FAQPage Schema
How do I build a knowledge graph for AI workflow planning and data validation?

Build a knowledge graph for AI workflows by defining entity schemas and creating relationships among persons, projects, and tasks. This Skill provides Python scripts to organize, query, and validate structured data for state sharing and dependency tracking.

What is the best way to model entity relationships in a knowledge graph?

The best way to model entity relationships is by defining entities with specific types, properties, and relations in a structured schema. This approach enforces schema constraints and ensures data integrity across your knowledge base.

How do I query pending tasks assigned to a specific person in a knowledge graph?

Query pending tasks by linking tasks and team members through defined relations, then searching for entities matching the specific person and their task statuses. This Skill supports efficient retrieval of interconnected relationships.

Does this knowledge graph system work with JSON and YAML data formats?

Yes, this knowledge graph system works with JSON and YAML data formats. It utilizes these formats for creating, updating, and validating data structures within your ontology storage.

Can I use Python scripts to enforce schema constraints for data integrity?

Yes, you can use Python scripts to enforce schema constraints for data integrity. This Skill enforces schema constraints to validate data structures and maintain consistency in your knowledge graph.

When do I need an ontology system for multi-step planning in AI?

You need an ontology system for multi-step planning when your AI workflows require dependency tracking, state sharing, and verifiable relationships among entities. It provides a foundational structure for organizing and querying data.