Can Claude maintain context during a Genie conversation?

Yes, the skill includes a conversation manager pattern that tracks conversation IDs, allowing for follow-up questions like 'What about last month?' without losing state.

Does this skill work with the Model Context Protocol (MCP)?

Yes, it covers both direct Databricks Python SDK integration and MCP tool configurations for standardized AI agent deployments.

What is the primary purpose of the Genie Integration skill?

It allows AI agents to interact with Databricks Genie rooms as functional tools, enabling them to query data using natural language and receive formatted insights.

How does it prevent agent confusion from large data outputs?

It includes logic to filter Genie responses, prioritizing natural language summaries and insights over raw SQL text or massive table dumps that could exceed token limits.

How does this skill handle long-running data queries?

It provides implementation patterns for exponential backoff and polling, ensuring agents don't time out while Genie generates complex SQL or processes large datasets.

Databricks Genie Integration

Name: Databricks Genie Integration
Author: juanlamadrid20

byjuanlamadrid20

データサイエンスとML

Integrates Databricks Genie rooms into AI agent workflows to enable conversational BI and natural language data querying.

概要

This skill provides standardized implementation patterns for connecting Claude to Databricks Genie spaces, allowing agents to translate natural language into SQL and retrieve insights directly from enterprise data lakes. It offers robust solutions for common integration challenges, including automated polling with exponential backoff for long-running queries, conversation context management for follow-up questions, and response summarization to prevent token overflow. By utilizing these SDK and MCP-based patterns, developers can transform existing Genie rooms into powerful agentic tools without the need to rebuild complex data pipelines.

主な機能

Environment-aware configuration patterns for managing multiple Genie space IDs.
Built-in exponential backoff and polling logic for handling complex query timeouts.
Automated response filtering to prioritize natural language summaries over raw SQL noise.
Advanced conversation state management to maintain context across multi-turn interactions.
Seamless SDK and MCP integration patterns for Databricks Genie rooms.
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ユースケース

Creating conversational BI assistants that can answer complex data questions via natural language.
Building multi-agent retail intelligence systems that require real-time data access.
Automating executive reporting workflows by pulling insights directly from Databricks.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add juanlamadrid20/dbrx-multi-agent-retail-intelligence genie-integration

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要