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lumen-ai

Translate natural language data questions into executable SQL queries, visualizations, and insights.

25|10|Updated Nov 6, 2025
Search Tags:#llm#sql#visualization#nlp#data-exploration#lumen
One-click install
npx skills add https://github.com/uw-ssec/rse-plugins --skill lumen-ai-uw-ssec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lumen-ai
Source: https://github.com/uw-ssec/rse-plugins/tree/main/community-plugins/holoviz-visualization/skills/lumen-ai
Command: npx skills add https://github.com/uw-ssec/rse-plugins --skill lumen-ai-uw-ssec

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Translate natural language data questions into executable SQL queries, visualizations, and insights that drive faster data-driven decisions.

Core Features & Use Cases

  • Natural Language Interface: Ask questions in plain English and receive SQL queries, visualizations, and insights.
  • Multi-LLM Support: Work with OpenAI, Anthropic, Google Gemini, or local models.
  • Agent Architecture: Specialized agents coordinate data retrieval, analysis, and visualization tasks.
  • Extensible & Privacy-Focused: Easily extend with custom agents while enabling local deployment options.

Quick Start

Ask a question about your data to start an interactive, AI-powered exploration with Lumen AI.

Frequently Asked Questions about lumen-ai

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

FAQPage Schema
How do I translate natural language questions into SQL queries for data exploration?▼

You can translate natural language questions into SQL queries by using a conversational analytics interface. The agent architecture coordinates data retrieval, analysis, and visualization to generate executable SQL and insights from plain English questions.

Can I use local LLMs for privacy-focused natural language data exploration?▼

Yes, you can use local LLMs for privacy-focused data exploration by enabling local execution. This allows you to run conversational analytics and generate SQL queries without sending sensitive data to external providers.

Does conversational analytics work with multiple LLM providers like OpenAI and Anthropic?▼

Conversational analytics works with multiple LLM providers including OpenAI, Anthropic, and Google Gemini. Multi-LLM support allows you to choose your preferred provider for translating natural language into SQL queries and visualizations.

How do I extend agent architecture for custom self-service analytics tasks?▼

You extend the agent architecture for custom self-service analytics by adding specialized agents. The extensible framework allows custom agents to coordinate specific data retrieval, analysis, and visualization tasks across diverse data sources.

What is the best way to generate visualizations from natural language queries?▼

The best way to generate visualizations from natural language queries is through an AI-powered conversational data exploration interface. Specialized agents translate plain English questions into executable SQL queries and automatically generate visualizations and insights.

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