query

Execute SPARQL and Cypher queries against knowledge graphs.

2.9k|348|Updated Jun 25, 2025
One-click install
npx skills add https://github.com/Hawksight-AI/semantica --skill query-hawksight-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query
Source: https://github.com/Hawksight-AI/semantica/tree/main/plugins/skills/query
Command: npx skills add https://github.com/Hawksight-AI/semantica --skill query-hawksight-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables users to perform complex graph queries and searches, facilitating insights and data retrieval from knowledge graphs.

Core Features & Use Cases

  • Graph Querying: Execute SPARQL and Cypher queries to fetch specific data or pattern matches.
  • Search Functionality: Search entities within the graph using keywords with relevance ranking.
  • Use Case: Scholars can retrieve specific relationships and entities in a semantic database, or data analysts can filter knowledge graphs based on keywords for rapid insights.

Quick Start

Use the query skill to run a SPARQL query to retrieve related entities from a knowledge base.

Frequently Asked Questions about query

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

FAQPage Schema
How do I query a knowledge graph using SPARQL or Cypher?

To query a knowledge graph, this Skill executes SPARQL and Cypher queries to fetch specific data or pattern matches from your semantic database. It leverages a dedicated query engine to retrieve relevant graph relationships efficiently.

Can I search for entities in a knowledge graph using keywords?

Yes, you can search for entities in a knowledge graph using keywords. This Skill provides search functionality that filters graph entities using your specified keywords and returns results with relevance ranking for rapid insights.

What is the best way to retrieve specific relationships from a semantic database?

The best way to retrieve specific relationships from a semantic database is through structured graph querying. By executing SPARQL or Cypher queries, you can pinpoint exact pattern matches and extract targeted data from your knowledge graph.

Do I need a specific query engine to run graph queries?

Yes, you need a query engine library to run graph queries. This Skill requires the semantica query engine library to execute graph-specific structured queries and keyword searches for retrieving your data.

What are the limitations of keyword search in a knowledge graph?

While keyword search in a knowledge graph provides relevance ranking for rapid insights, it is designed for filtering entities rather than complex pattern matching. For deep semantic exploration, structured SPARQL or Cypher queries are required.

How does structured querying facilitate data analysis in knowledge graphs?

Structured querying facilitates data analysis in knowledge graphs by enabling users to execute SPARQL and Cypher queries. This allows data analysts to filter semantic databases and retrieve specific relationships for rapid insights.