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andersrexdb
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A few comments to address, and we should merge the last group of changes.
We also may want to be more assertive about choosing a recent cluster version (17.3.*) and make sure it chooses a recent serverless client version (4 or 5).
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Approved, but highlighted a few things to consider.
I haven't tested for the template cases and for using generate commands, which may not be covered well. I'm not sure if it's critical for this PR, so I'm ok with keeping it in mind for the future.
| prod: | ||
| mode: production | ||
| workspace: | ||
| profile: prod-profile |
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In the prod target, do we want to use host, which is probably more common for production? I have switched guidance for dev targets to use profile since it helps agents find a workspace quickly, but I'm not sure if that was right for prod.
Example: host: https://prod-workspace.cloud.databricks.com
| ### Using Templates | ||
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| ```bash | ||
| # Start initialization (interactive) | ||
| databricks bundle init --profile my-workspace | ||
| ``` | ||
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| Available templates: | ||
| - **default-python** - Python project with jobs and pipeline | ||
| - **default-sql** - SQL project with jobs | ||
| - **default-scala** - Scala/Java project | ||
| - **lakeflow-pipelines** - Lakeflow Declarative Pipelines (Python or SQL) | ||
| - **dbt-sql** - dbt integration | ||
| - **default-minimal** - Minimal structure |
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Are templates included anywhere? If not, we could add this to basic SKILL.md. Most often I think LLM will generate a fresh, custom bundle for init though.
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Summary
Adds a new declarative-automation-bundles skillset with references and removes declarative-automation-bundles.md.
Documentation safety checklist
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