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Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
This skill should be used when the user asks to "write Gherkin", "create feature files", "generate BDD scenarios", "write acceptance tests in Gherkin", "create Behave features", "write Given When Then tests", "BDD test cases for my pipeline", "Gherkin for Unity Catalog", or wants to translate requirements into Gherkin feature files for Databricks.
This skill should be used when the user asks to "run BDD tests", "execute Behave", "run Gherkin tests", "run my feature files", "behave test results", "run smoke tests", "BDD test report", or needs to execute Behave test suites with specific options like tag filtering, parallel execution, or CI reporting.
This skill should be used when the user asks to "set up BDD", "create a Behave project", "scaffold BDD tests", "initialize Behave", "add BDD to my project", "set up Gherkin testing", "create test structure for Behave", or mentions setting up behavior-driven development testing. Generates a complete Behave project structure wired to Databricks SDK.
This skill should be used when the user asks to "write step definitions", "implement BDD steps", "generate step code", "create Behave steps", "implement Given When Then", "write Python steps for Gherkin", "step definitions for Databricks", or needs to create Python step implementations for existing Gherkin feature files.
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.
| 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