If you're moving a dbt project between warehouses like Snowflake and Databricks, this walks you through the dialect conversion using dbt Fusion's real-time compiler as your error detector. The workflow is methodical: generate unit tests on the source platform to lock in expected outputs, switch your target, then iterate through compile errors until you hit zero warnings and zero errors. Fusion tells you exactly what's broken and where, so you're not guessing at SQL differences. The skill emphasizes using dbtf compile as your primary feedback loop since it's free and catches issues before you burn warehouse credits on runs. It's thorough about leaf node testing and includes a progress checklist, though you'll need Fusion installed to make any of this work.
npx -y skills add dbt-labs/dbt-agent-skills --skill migrating-dbt-project-across-platforms --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot