A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.
91
91%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Test whether the LLM can correctly explain how to use fixtures in dbt unit tests.
The LLM should:
rows or fixture approachevals
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
src
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
working-with-dbt-mesh
dbt-extras
skills
creating-mermaid-dbt-dag
dbt-migration
skills
migrating-dbt-core-to-fusion
migrating-dbt-project-across-platforms