OntoSkills

🇬🇧 English • 🇨🇳 中文

The deterministic enterprise AI agent platform.

Neuro-symbolic architecture for the Agentic Web — OntoCore • OntoMCP • OntoStore

Overview • Getting Started • Roadmap • Philosophy

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What is OntoSkills?

OntoSkills transforms natural language skill definitions into validated OWL 2 ontologies — queryable knowledge graphs that enable deterministic reasoning for AI agents.

The problem: LLMs read skills probabilistically. Same query, different results. Long skill files burn tokens and confuse smaller models.

The solution: Compile skills to ontologies. Query with SPARQL. Get exact answers, every time.

flowchart LR
    CORE["OntoCore<br/>━━━━━━━━━━<br/>SKILL.md → .ttl<br/>LLM + SHACL"] -->|"compiles"| CENTER["OntoSkills<br/>━━━━━━━━━━<br/>OWL 2 Ontologies<br/>.ttl artifacts"]
    CENTER -->|"loads"| MCP["OntoMCP<br/>━━━━━━━━━━<br/>Rust SPARQL<br/>in-memory graph"]
    MCP <-->|"queries"| AGENT["AI Agent<br/>━━━━━━━━━━<br/>Deterministic<br/>reasoning"]

    style CORE fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5
    style CENTER fill:#abf9cc,stroke:#2a2a3e,color:#0d0d14
    style MCP fill:#92eff4,stroke:#2a2a3e,color:#0d0d14
    style AGENT fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14

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Why OntoSkills?

Problem	Solution
LLMs interpret text differently each time	SPARQL returns exact answers
50+ skill files = context overflow	Query only what's needed
No verifiable structure for relationships	OWL 2 formal semantics
Small models can't read complex skills	Democratized intelligence via graph queries

For 100 skills: ~500KB text scan → ~1KB query

→ Read the full philosophy

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Quick Start

# Install the MCP runtime and bootstrap your client
npx ontoskills install mcp --claude

# Or install the Python compiler separately
pip install ontocore
ontocore compile

→ Full installation guide

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Components

Component	Language	Description
OntoCore	Python	Neuro-symbolic compiler: SKILL.md → OWL 2 ontology
OntoMCP	Rust	MCP server with sub-ms SPARQL queries
OntoStore	GitHub	Versioned skill registry
CLI	Node.js	One-command installer (npx ontoskills)

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Documentation

• Overview — What is OntoSkills and why it matters
• Getting Started — Installation and first steps
• Architecture — How the system works
• Knowledge Extraction — Extracting value from skills
• OntoStore — Browse and install skills
• Roadmap — Development phases

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License

MIT License — see LICENSE for details.

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