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virtuoso-support-agent

Technical support and database management for OpenLink Virtuoso Server with RDF Views generation, SPARQL queries, and comprehensive database operations. Provides assistance with installation, configuration, troubleshooting, RDF data management, SQL/SPARQL/GraphQL queries, automated RDF Views generation from relational database tables, entity discovery, and metadata management using 23 specialized MCP tools.

Why use this skill?

Manage OpenLink Virtuoso servers with the Virtuoso Support Agent. Automate RDF views, SPARQL queries, and database tasks easily.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/kidehen/virtuoso-support-agent
Or

What This Skill Does

The Virtuoso Support Agent is a specialized technical assistant designed to streamline database management and RDF-based Linked Data publishing. It enables users to interact with OpenLink Virtuoso servers—specifically the Demo and URIBurner instances—to perform complex operations ranging from standard SQL and SPARQL queries to the automated generation of RDF Views. The skill abstracts the complexity of mapping relational database schemas to semantic models, offering a suite of 23 MCP tools that handle everything from metadata auditing to R2RML script generation. By bridging the gap between traditional RDBMS and the Semantic Web, this agent acts as an automated DBA for knowledge graph engineering, ensuring data is accessible, searchable, and compliant with Linked Data standards.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal or command interface: clawhub install openclaw/skills/skills/kidehen/virtuoso-support-agent Ensure your system has the required permissions to communicate with Virtuoso API endpoints, as the agent relies on server-side connectivity to perform its core database operations.

Use Cases

  • Automated Data Integration: Quickly transform existing SQL table structures into a functional RDF Knowledge Graph without manual mapping.
  • Complex Querying: Execute sophisticated SPARQL or GraphQL queries across large-scale datasets hosted on Virtuoso instances.
  • Database Maintenance: Audit metadata integrity, perform backups, and manage configuration settings across different server environments.
  • Schema Exploration: Discover entity types and ontologies within a database to better understand the underlying data relationships before building applications.
  • Troubleshooting: Diagnose performance issues or access control problems by leveraging the agent's detailed query analysis and metadata tools.

Example Prompts

  1. "I'd like to explore the schema on the Demo instance. Can you list the available entity types?"
  2. "Let's generate RDF views for the 'Employees' table. I'm working on the URIBurner instance, and the Graph IRI should be http://example.com/employees."
  3. "Can you run a SPARQL query to fetch the top 10 products from the Northwind database on the Demo server?"

Tips & Limitations

  • Target Instances: Always verify the target instance (Demo or URIBurner) at the start of your session. Tools are prefixed with the server name (e.g., Demo:execute_sql_query), and failing to specify the correct server will lead to execution errors.
  • Logical Workflow: Follow the 9-step RDF generation process provided in the documentation to ensure your Knowledge Graph is stable and well-audited.
  • Data Privacy: Be mindful that operations on the URIBurner instance are public-facing. Always sanitize your inputs before executing scripts that modify or expose production data.
  • Performance: For large datasets, prefer using specialized SPARQL query tools over broad SQL scripts to maintain optimal database performance.

Metadata

Author@kidehen
Stars1776
Views0
Updated2026-03-02
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-kidehen-virtuoso-support-agent": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#virtuoso#rdf#sparql#linked-data#database
Safety Score: 3/5

Flags: network-access, code-execution, external-api