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About dbt-sf-to-bq-translator
dbt-sf-to-bq-translator
Translates Snowflake dbt SQL models to Standardized BigQuery SQL
dbt Snowflake to BigQuery translator is an agent skill for migrating dbt models from Snowflake SQL to standardized BigQuery SQL on Google Cloud. It handles the dialect translation, then enforces Google-specific standards on each output file: a copyright header at the top, explicit type casting, standardized JSON extraction, and deduplication with QUALIFY over the _extracted_at column. It also preserves dbt Jinja constructs and stores the final BigQuery-compatible models in the project. The skill covers SQL compilation and masks Jinja macro placeholders while the translation runs, so the logic is translated without breaking the macros. It works from a migration plan. The agent follows the instructions in a tasks file under a migration plan folder, records its progress and a final summary there so a human supervisor can track it, and recovers from errors by reading that file. The skill is intended for data engineering teams moving a dbt project from Snowflake to BigQuery who want a reviewable, resumable migration rather than a one-off conversion. It is published by Google on skills.sh under the google skills repository, with about 1.9K installs. The skills.sh listing shows Gen Agent Trust Hub and Snyk passing, with Socket showing Warn.
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- Free
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- AI Skills
- Website
- github.com/google/skills/dbt-sf-to-bq-translator