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Databricks Deploy Integration

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jeremylongshore·vlatest·data·MIT

Helps with deployment, integration as part of agent workflows workflows.

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This skill no longer installs under the name databricks-deploy-integration. jeremylongshore/tons-of-skills-marketplace has no skill named "databricks-deploy-integration" any more. It was renamed, moved or deleted upstream.

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jeremylongshore

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Live repository

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill enables AI agents to interact with Databricks environments, specifically for deployment tasks. It allows users to trigger deployments and retrieve information related to those deployments directly through prompts. The integration provides a streamlined workflow for managing Databricks resources via an AI agent interface.

When to use it

  • Automating the deployment of machine learning models or data pipelines to your Databricks workspace.
  • Checking the status of a running Databricks job or deployment.
  • Retrieving details about recent deployments, such as logs and error messages.
  • Troubleshooting issues with Databricks deployments by querying for specific information.

Key capabilities

  • Triggering Databricks deployments
  • Retrieving deployment status
  • Accessing deployment logs

Example prompts

  • "Deploy the 'model-training' job to development."
  • "What is the status of the last deployment?"
  • "Show me the logs for the 'data-pipeline' deployment."

Tips & gotchas

Requires appropriate permissions within your Databricks workspace. The specific commands and available actions will depend on your Databricks environment configuration.