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databricks-isv-adding-databricks-connector

Add a Databricks connector to an existing project with config, connect, and operations.

5|1|Updated Apr 8, 2026
Search Tags:#authentication#integration#telemetry#connector#databricks#m2m#u2m
One-click install
npx skills add https://github.com/databricks-solutions/partner-ai-dev-kit --skill databricks-isv-adding-databricks-connector
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-isv-adding-databricks-connector
Source: https://github.com/databricks-solutions/partner-ai-dev-kit/tree/main/skills/adding-databricks-connector
Command: npx skills add https://github.com/databricks-solutions/partner-ai-dev-kit --skill databricks-isv-adding-databricks-connector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Add a Databricks connector to an existing project that has no Databricks integration, enabling Databricks as a new data source or backend.

Core Features & Use Cases

  • Guides where to place the integration within the project's structure.
  • Prescribes stack-specific patterns for config, connect, and operations.
  • Includes validation and telemetry considerations to ensure secure, observable integration across PAT, M2M, and U2M.

Quick Start

Follow the minimal steps to wire a Databricks connector into your existing project by selecting a stack and implementing config/connect/operations.

Frequently Asked Questions about databricks-isv-adding-databricks-connector

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

FAQPage Schema
How do I add a Databricks connector to an existing project?▼

To add a Databricks connector, this Skill guides you in structuring config, connect, and operations modules within your codebase. It ensures a single connector entry point and validates credentials to enable Databricks as a new data source.

What is the best way to handle Databricks authentication for M2M and U2M integration?▼

Handling Databricks authentication requires auth-by-type processing for PAT, M2M, and U2M. The Skill enforces specific patterns to securely manage these credentials within your project's connector implementation for production-ready integration.

Can I use this to integrate Databricks with any programming language?▼

Yes, you can integrate Databricks with any supported language. The Skill applies to existing codebases by prescribing stack-specific patterns for configuration, connections, and operations.

How do I validate Databricks credentials and set up telemetry for my connector?▼

To validate Databricks credentials and set up telemetry, the Skill includes an end-to-end integration checklist. It enforces User-Agent telemetry and validates authentication to ensure observable operations.

When do I need a single connector entry point for Databricks integration?▼

You need a single connector entry point when building a production-ready Databricks integration. This architecture enforces consistent auth handling, telemetry routing, and operational stability across your project.

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