A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.
91
Does it follow best practices?
Validation for skill structure
If you want to unit test a model that depends on an ephemeral model, you must use format: sql for that input.
unit_tests:
- name: my_unit_test
model: dim_customers
given:
- input: ref('ephemeral_model')
format: sql
rows: |
select 1 as id, 'emily' as name
expect:
rows:
- {id: 1, first_name: emily}Install with Tessl CLI
npx tessl i dbt-labs/dbt-agent-skillsevals
scenarios
dbt-docs-arguments
dbt-docs-unit-test-fixtures
dbt-job-failure
dbt-unit-test-format-choice
example-yaml-error
fusion-migration-triage-basic
fusion-migration-triage-blocked
fusion-triage-cat-a-static-analysis
fusion-triage-cat-b-dict-meta-get
fusion-triage-cat-b-unexpected-config
fusion-triage-cat-b-unused-schema
fusion-triage-cat-b-yaml-syntax
fusion-triage-cat-c-hardcoded-fqn
tests
scripts
skills
dbt
skills
adding-dbt-unit-test
references
answering-natural-language-questions-with-dbt
building-dbt-semantic-layer
configuring-dbt-mcp-server
fetching-dbt-docs
scripts
running-dbt-commands
troubleshooting-dbt-job-errors
references
using-dbt-for-analytics-engineering
dbt-migration
skills
migrating-dbt-core-to-fusion
migrating-dbt-project-across-platforms