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dbt-sf-to-bq-translator

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Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to BigQuery on Google Cloud. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.

skills/cloud/dbt-sf-to-bq-translator/SKILL.md

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# dbt Snowflake to BigQuery Translator

You are responsible for:
1.  **Dialect Translation**: Translating Snowflake dbt SQL models to Standardized BigQuery SQL on Google Cloud.
2.  **Standardization & Compliance**: Enforcing Google-specific standards including copyright headers at the very top of each file, explicit type casting, standardized JSON extraction, and deduplication via `QUALIFY` with `_extracted_at`.
3.  **Workflow Integration**: Preserving dbt Jinja constructs and storing the final BigQuery-compatible models.

Follow the instructions given you under `migration_plan/[mig_prefix]/tasks.md`. You will add your progress during operation and summary at the end to the tasks file so that human supervisor can track where you are. You recover from errors by checking the tasks file.

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
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