dbt-transforms
dbt Skill for Claude
Comprehensive dbt guidance covering project structure, modeling, testing, CI/CD, and production patterns. Targets Snowflake, BigQuery, and DuckDB. Beginner-friendly with progressive scaling.
When to Use This Skill
Activate when: Creating/modifying dbt models, choosing materializations, structuring layers, setting up tests, CI/CD, sources, Jinja macros, or making analytics engineering decisions.
Don't use for: Basic SQL syntax, warehouse administration, raw pipeline config (Fivetran/Airbyte), BI tool setup.
Scope Constraints
- Targets Snowflake, BigQuery, and DuckDB; other warehouses may need adaptation.
- Assumes dbt Core 1.6+ or dbt Cloud; earlier versions lack governance features.
- Does not cover raw data ingestion, BI tool configuration, or warehouse admin.
- Reference files are loaded on demand -- do not pre-load multiple references.
Model Routing
More from dtsong/data-engineering-skills
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Use this skill when working with DuckDB for local data analysis, file ingestion, or data exploration. Covers reading CSV/Excel/Parquet/JSON files into DuckDB, SQL analytics on local data, data profiling, cleaning transformations, and export to various formats. Common phrases: \"analyze this CSV\", \"DuckDB query\", \"local data analysis\", \"read Excel in SQL\", \"profile this data\". Do NOT use for dbt model building (use dbt-transforms with DuckDB adapter) or cloud warehouse administration.
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2data-testing
Use this skill when designing testing strategies for data pipelines, writing SQL assertions, validating pipeline output, or packaging tests as client deliverables. Covers dbt test patterns, pipeline validation, SQL assertion libraries, test coverage targets, and test-as-deliverable packaging. Common phrases: \"data testing strategy\", \"pipeline validation\", \"SQL assertions\", \"test coverage\", \"test as deliverable\", \"data quality tests\". Do NOT use for writing dbt models (use dbt-transforms), DuckDB analytical queries (use duckdb), or pipeline scheduling (use data-pipelines).
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