mareasoftware/ontoskills
OWL 2 skill compiler for deterministic AI agents — transforms SKILL.md into validated RDF/ Turtle ontologies with SHACL gatekeeper
This project helps AI developers convert natural language descriptions of skills into a structured, queryable format for AI agents. It takes plain language skill definitions (SKILL.md) and compiles them into validated OWL 2 ontologies, which are precise knowledge graphs. This enables AI agents to perform deterministic reasoning, always providing exact answers, and is ideal for developers building enterprise AI agents that require reliable and consistent behavior.
Use this if you need your AI agents to perform tasks with exact, verifiable logic rather than probabilistic interpretations, especially when managing a large number of defined skills.
Not ideal if your AI agents are designed for creative or interpretative tasks where flexibility and probabilistic understanding are preferred over strict, deterministic outcomes.
Stars
9
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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