Translate natural language queries into SQL for SQLite knowledge graphs.
npx skills add https://github.com/jsagir/mindrian-os-plugin --skill graph-jsagir
Please help me install this Agent Skill. Skill: graph Source: https://github.com/jsagir/mindrian-os-plugin/tree/main/skills/graph Command: npx skills add https://github.com/jsagir/mindrian-os-plugin --skill graph-jsagir
This Skill allows you to interact with your knowledge graph using natural language, providing a visual representation of connections and insights.
Use the /mos:graph command to explore your knowledge graph. For example, you can type "/mos:graph What connects problem-definition to market-analysis?" to see the relationship between these concepts.
High-intent search queries and answers about installing and using this skill.
You can explore your knowledge graph by asking questions in plain English. This Skill translates natural language queries into SQL, executes them on a SQLite database, and presents the resulting relationships as visual graph paths.
Visualizing connections in a SQLite knowledge graph is done by translating plain English questions into SQL queries. Results are returned as visual graph paths and interactive cards, showing exactly how different concepts link together.
Yes, you need a pre-existing SQLite-based knowledge graph. This Skill requires your graph to be already set up in a SQLite environment so it can execute translated SQL queries and return visual graph paths.
Natural language processing translates into SQL queries for graph exploration by parsing plain English input and mapping it to the SQLite database schema, allowing you to retrieve graph paths without writing manual SQL.
Yes, you can perform graph visualization and data analytics without writing manual SQL. The Skill handles query translation automatically, allowing you to interact directly with the graph using natural language and receive visual results.
Limitations of natural language SQL graph exploration include reliance on accurate query translation and the requirement of a properly structured SQLite knowledge graph setup. Complex queries may occasionally need manual SQL refinement for precise results.
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