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from product-forge10
Provides dbt project patterns, example models, testing snippets, and best practices for building staging→marts pipelines and tests in analytics engineering.
Offers canonical dbt (data build tool) patterns for analytics engineering: project layout, staging/intermediate/marts model examples, incremental model templates, and testing examples. The skill documents SQL and YAML snippets to implement staging models, incremental logic, and schema tests.
Use this skill when designing or refactoring dbt projects, creating incremental models, adding tests and documentation, or learning recommended project structure and model patterns for reliable data transformations. It's useful for analytics engineers onboarding to dbt or implementing common ETL-to-dw patterns.
Inferred compatibility: Claude Code, Cursor, other code-capable agents that can author SQL and YAML snippets.
A documentation-only skill providing dbt (data build tool) project patterns, example SQL models (staging, incremental), testing snippets, and best practices for analytics engineering pipelines. No scripts to execute — purely reference material. Useful as a quick reference but thin on depth and doesn't add much beyond what an LLM could generate from dbt docs.
Safe skill, no executable content. Low scores reflect thin content rather than any quality issue — the patterns are correct but minimal. Part of the product-forge monorepo (jpoutrin/product-forge).
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