Deploy
Automates Databricks cluster deployment and configuration using code, streamlining infrastructure provisioning.
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 npx -- -y @trustedskills/databricks-deploy
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"databricks-deploy": {
"command": "npx",
"args": [
"-y",
"@trustedskills/databricks-deploy"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows you to deploy applications within a Databricks environment. It automates the process of taking an application and making it available in your Databricks workspace, handling necessary configurations and deployments. The skill simplifies the deployment workflow for developers and operations teams alike.
When to use it
- Deploying a new machine learning model as a serving endpoint.
- Automating the release of a data pipeline within a Databricks cluster.
- Making an internal tool or dashboard accessible to users in your organization via Databricks.
- Streamlining the deployment process for frequently updated applications.
Key capabilities
- Application Deployment: Deploys applications into a Databricks workspace.
- Automation: Automates various steps involved in application release.
- Configuration Management: Handles necessary configurations during deployment.
Example prompts
- "Deploy my machine learning model to the staging environment."
- "Release version 2.0 of the data pipeline."
- "Make the internal dashboard accessible via Databricks."
Tips & gotchas
- Requires appropriate permissions within your Databricks workspace to deploy applications.
- The specific deployment process and configuration options may vary depending on the application type.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.