An advanced AI-driven assistant designed for technical support, database administration, and automated RDF Views generation for OpenLink Virtuoso Servers.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install virtuoso-support-agent
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install virtuoso-support-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Virtuoso Support Agent is a specialized skill designed to streamline the management and optimization of OpenLink Virtuoso Servers. It provides comprehensive assistance for complex database operations, including automated RDF Views generation from relational tables, SPARQL, SQL, and GraphQL query optimization, and performance troubleshooting. By leveraging this Openclaw Skills integration, developers and database administrators can automate entity discovery, metadata management, and the creation of Linked Data access rules across both Demo and URIBurner instances.
This tool simplifies the intricacies of semantic web technologies, allowing users to transform standard RDBMS tables into functional Knowledge Graphs with minimal manual effort. It acts as a bridge between traditional relational databases and the modern web of data, ensuring that your Virtuoso environment is secure, performant, and correctly configured for enterprise-scale operations.
To integrate the Virtuoso Support Agent into your workflow, ensure your agent is configured to access the provided MCP tools. Follow these steps to initialize the Openclaw Skills connection:
# Initialize the Virtuoso skill within your AI agent environment
# Ensure access to Demo and URIBurner endpoints
# Verify configuration
# Use the {Server}:assistantsConfigurations tool to check status
Once connected, use commands like /help or /rdfviews to trigger specific workflows.
The skill organizes its operations through a structured metadata taxonomy and specific artifact generation. Data is categorized as follows:
| Data Category | Description |
|---|---|
| RDF Views | Mappings that transform SQL tables into RDF triples for Linked Data access. |
| Ontologies | Schema definitions automatically derived from relational table structures. |
| Data Rules | Access and transformation rules defining how entities are exposed as Linked Data. |
| Audit Logs | Metadata snapshots (Level 1 and Level 2) taken before and after operations. |
| Query Templates | Predefined SPARQL and SQL structures for FAQs, pricing, and guides. |
All tools utilize a server-prefixed naming convention (e.g., Demo:execute_spasql_query) to maintain strict data isolation between environments.
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