ontoskills 0.7.3

OntoSkills — Neuro-symbolic skill compiler. Compiles SKILL.md into validated OWL 2 ontologies.

OntoSkills Core

The neuro-symbolic compiler for the OntoSkills platform.

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What is ontoskills?

ontoskills is the core Python engine of the OntoSkills platform. It acts as a neuro-symbolic compiler that transforms unstructured, human-readable AI skills (SKILL.md) into strictly validated, queryable OWL 2 ontologies.

By combining the natural language understanding of LLMs with the deterministic formal logic of RDF and SHACL validation, ontoskills ensures that AI agents operate on exact, verifiable knowledge graphs rather than probabilistic prompts.

Key Capabilities

• LLM Knowledge Extraction: Extracts structured triples (Dependencies, Inputs, Intents, Operations) from markdown files.
• SHACL Validation: Ensures the extracted semantic graph strictly adheres to the OntoSkills Core Ontology.
• OWL 2 Compilation: Outputs self-contained .ttl (Turtle) graphs ready for deterministic SPARQL querying.
• Local Registry Management: Handles the installation, enabling, and indexing of distributed skills packages.
• Security Auditing: Analyzes the graph for conflicting intents, missing dependencies, or shadowed skills.

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Installation

Install the compiler directly from PyPI (requires Python 3.10+):

pip install ontoskills

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Quick Start

1. Initialize the Environment

Create the necessary folder structure (.ontoskills/) in your project:

ontoskills init-core

2. Configure the LLM

ontoskills needs an LLM to extract relationships. Create a .env file or export the keys:

export OPENAI_API_KEY="sk-..."

(Anthropic is also supported via ANTHROPIC_API_KEY)

3. Compile Skills

Assuming you have SKILL.md files in a skills/ directory, run the compiler:

ontoskills compile

This will read the markdown files, extract knowledge, validate it via SHACL, and generate .ttl ontology files in the .ontoskills/ output directory.

4. Query the Knowledge Graph

You can perform exact graph queries using SPARQL directly from the CLI:

ontoskills query "SELECT ?skill WHERE { ?skill oc:resolvesIntent 'create_pdf' }"

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CLI Reference

The package provides the ontoskills command-line tool. Here are the main commands:

Core Commands

• ontoskills compile: Compile local skills to validated OWL 2 ontologies.
• ontoskills query <sparql_query>: Execute a SPARQL query against the compiled domain graph.
• ontoskills security-audit: Run security checks against the knowledge graph to find issues.
• ontoskills init-core: Initialize an empty OntoSkills registry in the current directory.
• ontoskills list-skills: List all successfully compiled skills in the domain graph.

Registry & Packages

• ontoskills install-package <path>: Install a .tar.gz skill package.
• ontoskills import-source-repo <url>: Import skills directly from a remote Git repository.
• ontoskills install: Download and install all dependencies declared in the lockfile.
• ontoskills enable <skill_id>: Enable an installed skill.
• ontoskills disable <skill_id>: Disable an installed skill.
• ontoskills list-installed: Show all installed packages and their status.
• ontoskills rebuild-index: Rebuild the registry index manually.

Run ontoskills --help or ontoskills <command> --help for detailed usage.

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Documentation & Source

For the full documentation, architecture details, and to contribute to the project, please visit the main repository:

👉 mareasoftware/ontoskills GitHub Repository

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