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dataproduct-dbt

Build out the transformation layers (`staging/`, `intermediate/`) of a data product and run dbt against them, following project-wide conventions adapted from dbt's best practices (v1.12). Trigger when the user asks to "add a staging model", "build out the staging layer", "create an intermediate model", "refactor this output port into staging + intermediate", "make this model incremental", or "run dbt for this data product".

plugins/entropy-data/dataproduct-builder-dbt/skills/dataproduct-dbt/SKILL.md

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# Build and run dbt transformations for a data product

`dataproduct-implement` generates the ends of the pipeline: input-port sources (from access agreements) and output-port models (from the data contract). This skill fills in the middle, the `staging/` and `intermediate/` layers, and runs dbt against the result. The conventions below are adapted from [dbt's structure and materialization best practices](https://docs.getdbt.com/best-practices?version=1.12), and are meant to be edited by the organization adopting this plugin.

## When to use this vs. other skills

- **No dbt project yet** → run `dataproduct-bootstrap` first.
- **No output-port models or input-port sources yet** → run `dataproduct-implement` first.
- **Auditing or reviewing an existing dbt project** → use `/review` or `/simplify`, not this skill.
- **Authoring or refactoring the middle of the DAG, or running dbt** → this skill.

## Conventions (the editable part)

These rules are the contract between this skill and the rest of the plugin. Organizations forking the plugin should treat this section as the place to encode their own style.