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knowledge-graph-query

Query SEA-Forge's Knowledge Graph via SPARQL to retrieve concepts and relationships.

1|Updated Oct 1, 2025
Search Tags:#ontology#semantic#knowledge-graph#sparql#domainforge#oxigraph
One-click install
npx skills add https://github.com/GodSpeedAI/SEA --skill knowledge-graph-query
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-graph-query
Source: https://github.com/GodSpeedAI/SEA/tree/main/.claude/skills/knowledge-graph-query
Command: npx skills add https://github.com/GodSpeedAI/SEA --skill knowledge-graph-query

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables querying SEA-Forge's Knowledge Graph to discover concepts, relationships, and semantic patterns, enabling faster semantic reasoning and validation.

Core Features & Use Cases

  • SPARQL querying: Retrieve concepts, relationships, and ontology patterns from the SEA Knowledge Graph.
  • Concept validation: Verify existence and correctness of domain concepts like sea:BoundedContext or sea:Artifact.
  • Ontology exploration: Navigate the concept hierarchy and discover related artifacts and stages.
  • Use Case: Quickly validate semantic links in a domain model and surface candidate artifacts for governance checks.

Quick Start

Run a basic SPARQL query against the knowledge graph endpoint to list all sea:Concepts.

Frequently Asked Questions about knowledge-graph-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query a knowledge graph to retrieve semantic concepts and relationships?▼

You query a knowledge graph to retrieve semantic concepts and relationships by executing SPARQL queries against an RDF endpoint. This Skill returns structured results for concept validation and ontology exploration from the SEA-Forge Knowledge Graph.

Can I validate domain concepts in an ontology using SPARQL?▼

Yes, you can validate domain concepts in an ontology using SPARQL. The Skill verifies the existence and correctness of specific domain concepts like sea:BoundedContext or sea:Artifact within the knowledge graph endpoint.

What is the best way to explore ontology hierarchies and discover related artifacts?▼

The best way to explore ontology hierarchies and discover related artifacts is by running deterministic SPARQL lookups against the knowledge graph. This approach navigates the concept hierarchy and surfaces candidate artifacts for governance checks.

Do I need an Oxigraph integration to perform semantic lookups?▼

You need a SPARQL endpoint and standard RDF tooling to perform semantic lookups. The Skill relies on these components and supports DomainForge and Oxigraph integrations to execute deterministic queries and return structured results.

Why does my SPARQL query fail when discovering semantic patterns?▼

A SPARQL query discovering semantic patterns may fail if the knowledge graph endpoint is unreachable or the RDF tooling is misconfigured. Ensure the DomainForge and Oxigraph integrations are active and the ontology concepts are correctly defined.

Does the knowledge-graph-query Skill support relationship discovery for domain models?▼

The knowledge-graph-query Skill supports relationship discovery for domain models by executing SPARQL queries against the knowledge graph. It retrieves semantic links and validates relationships within the DomainForge and Oxigraph integrations.

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