PluginPublic

dbt-labs/dbt-agent-skills

A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.

Quality

88%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Low

Low-risk findings worth noting

Writing project documentation

Never generate documentation which simply restates the entity's name. Describe why, not just what.

Inspect the data before writing documentation about it, using discovering-data.

Table level

Describe the grain of the table, its purpose and any edge cases

Bad:

models:
  - name: active_customers
    description: All customers who are active

Good:

models:
  - name: active_customers
    description: The `customers` table pre-filtered for easier analytics. One row per customer whose contract_expiry_date is null or in the future

Column level

Calculated fields should include a brief description of the transformation and its purpose.

Bad:

models: 
  - name: customers
    columns: 
      - name: customer_id
        description: The customer's identification number

Good:

models: 
  - name: customers
    columns: 
      - name: customer_id
        description: Users older than 2020-02-16 have `v1_` prefixed to their customer ID due to the platform migration.