Skills your agent can look up, not guess.
Deterministic ontological queries replace probabilistic skill discovery. Zero ambiguity, zero tokens wasted.
npx ontoskills install mcp SELECT ?skill WHERE {
?skill oc:resolvesIntent "create_pdf" .
?skill oc:hasPayload ?payload .
}
→ Returns in 0.3ms
→ Always the same result LLMs waste tokens guessing
Every time your agent uses a skill, it burns through a 4-step pipeline that's slow, expensive, and unreliable.
Token waste
Large models burn thousands of tokens just parsing documentation files.
Inconsistency
Same query, different results. Every. Single. Time.
Confusion
Complex skills overwhelm smaller models with ambiguity.
No guarantees
LLMs interpret text probabilistically. Errors are inevitable.
Skip the guesswork. Query. Execute.
OntoSkills eliminates reading and understanding. An OWL 2 reasoner handles the heavy lifting — deterministically.
SELECT ?skill WHERE { ?skill resolvesIntent "create_pdf" } No reading. No guessing. Just query → execute.
Products
Three components. One deterministic pipeline.
OntoCore
The Compiler
The compiler. Transform domain knowledge into OWL 2 ontologies.
OntoStore
The Store
The registry. Browse, publish, and discover ontological skills.
OntoMCP
The Bridge
The runtime. MCP server that bridges agents to ontological knowledge.
OntoClaw
The first natively ontological AI agent
Neuro-symbolic architecture. Ontological knowledge is native — no MCP bridge needed for OntoSkills.
Ready to make your agent deterministic?
npx ontoskills install mcp