What problem does it solve? Querying live knowledge graphs and triple-stores over HTTP requires correct SPARQL syntax, proper PREFIX declarations, and knowledge of the endpoint's structure. This Skill guides the AI through discovering, writing, and executing SPARQL 1.1 queries against any remote endpoint without manual tooling setup. ## Core Features & Use Cases - Remote Query Execution: Runs SELECT, ASK, CONSTRUCT, and DESCRIBE queries against any SPARQL protocol endpoint such as DBpedia or a corporate triple-store via Comunica. - Endpoint Exploration: Provides ready-made query patterns to discover classes, properties, and sample triples before writing deeper queries. - Flexible Output Formats: Returns results as tables, SPARQL JSON, CSV, or Turtle depending on the query type and downstream need. - Use Case: Ask the AI to list all classes used in DBpedia, then retrieve all properties of a specific resource, and export the results as CSV for analysis. ## Quick Start Query the DBpedia SPARQL endpoint to list all distinct classes and show the results as a table.