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databricks-config
Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Deploy and query Databricks Model Serving endpoints. Use when (1) deploying MLflow models or AI agents to endpoints, (2) creating ChatAgent/ResponsesAgent agents, (3) integrating UC Functions or Vector Search tools, (4) querying deployed endpoints, (5) checking endpoint status. Covers classical ML models, custom pyfunc, and GenAI agents.
Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Supervisor Agents (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.
Create Databricks AI/BI dashboards. CRITICAL: You MUST test ALL SQL queries via execute_sql BEFORE deploying. Follow guidelines strictly.
Builds Python-based Databricks applications using Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex. Handles OAuth authorization (app and user auth), app resources, SQL warehouse and Lakebase connectivity, model serving integration, and deployment. Use when building Python web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.
Create and configure Databricks Asset Bundles (DABs) with best practices for multi-environment deployments. Use when working with: (1) Creating new DAB projects, (2) Adding resources (dashboards, pipelines, jobs, alerts), (3) Configuring multi-environment deployments, (4) Setting up permissions, (5) Deploying or running bundle resources
Databricks documentation reference. Use as a lookup resource alongside other skills and MCP tools for comprehensive guidance.
| name | databricks-config |
| description | Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK. |
Configure the Databricks profile in ~/.databrickscfg for use with Databricks Connect.
Usage: /databricks-config [profile_name|workspace_host]
Examples:
/databricks-config - Configure DEFAULT profile (interactive)/databricks-config DEFAULT - Configure DEFAULT profile/databricks-config my-workspace - Configure profile named "my-workspace"/databricks-config https://adb-1234567890123456.7.azuredatabricks.net/ - Configure using workspace host URLDetermine the profile and host:
https://, treat it as a workspace host:
adb-1234567890123456.7.azuredatabricks.net → adb-1234567890123456, my-company-dev.cloud.databricks.com → my-company-dev)https://, treat it as a profile nameRun databricks auth login -p <profile> with the determined profile name
--host <workspace_host> to the commandCheck if the profile exists in ~/.databrickscfg
Ask the user to choose ONE of the following compute options:
serverless_compute_id = auto)Update the profile in ~/.databrickscfg with the selected configuration
Verify the configuration by displaying the updated profile section
cluster_id OR serverless_compute_id (never both)serverless_compute_id = auto (not just serverless = true)databricks auth login command will open a browser for OAuth authenticationtoken field values (e.g., token = [REDACTED])~/.databrickscfgWith Cluster ID:
[DEFAULT]
host = https://adb-123456789.11.azuredatabricks.net/
cluster_id = 1217-064531-c9c3ngyn
auth_type = databricks-cli
With Serverless:
[DEFAULT]
host = https://adb-123456789.11.azuredatabricks.net/
serverless_compute_id = auto
auth_type = databricks-cli
With Token (display as redacted):
[DEFAULT]
host = https://adb-123456789.11.azuredatabricks.net/
token = [REDACTED]
cluster_id = 1217-064531-c9c3ngyn
View full configuration at: ~/.databrickscfg