Ontology

The ontology skill provides a structured framework for defining relationships, hierarchies, and constraints within an AI agent's knowledge base. It enables agents to reason logically about concepts by mapping how different entities connect to one another.

When to use it

• Building custom knowledge graphs where specific domain logic must be enforced.
• Clarifying ambiguous terms to ensure the agent interprets context correctly.
• Defining parent-child relationships between complex concepts for better reasoning.
• Establishing strict rules that limit how an agent can infer new information.

Key capabilities

• Defines explicit semantic relationships between distinct concepts.
• Creates hierarchical structures to organize knowledge logically.
• Enforces logical constraints on how data is interpreted and linked.

Example prompts

• "Create an ontology for a medical diagnosis system that links symptoms to potential diseases."
• "Define the relationship hierarchy between software components, libraries, and dependencies."
• "Establish rules in my knowledge base that prevent confusing 'cloud computing' with 'local server storage'."

Tips & gotchas

This skill requires clear input definitions; vague concepts will result in weak logical connections. Ensure you explicitly state the direction of relationships (e.g., A is a type of B) to avoid circular reasoning errors.