A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.
65
82%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Risky
Do not use without reviewing
Some SQL patterns that work in legacy dbt may not be supported by Fusion's static analysis, such as:
PIVOT(...) FOR column_name IN (ANY)The first option is always preferred and should be attempted first, if possible.
refactor away any instances of PIVOT(...) FOR column_name IN (ANY) to have hard-coded values.
For models with unsupported dynamic SQL:
static_analysis = 'off' to the model config:{{
config(
materialized = 'table',
meta = {
'static_analysis': 'off'
}
)
}}dbt_project.ymlevals
skills
adding-dbt-unit-test
references
answering-natural-language-questions-with-dbt
building-dbt-semantic-layer
configuring-dbt-mcp-server
fetching-dbt-docs
scripts
migrating-dbt-core-to-fusion
running-dbt-commands
troubleshooting-dbt-job-errors
using-dbt-for-analytics-engineering