Databricks Deploy Integration
Helps with deployment, integration as part of agent workflows workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add databricks-deploy-integration npx -- -y @trustedskills/databricks-deploy-integration
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"databricks-deploy-integration": {
"command": "npx",
"args": [
"-y",
"@trustedskills/databricks-deploy-integration"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
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.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.