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
Test whether the LLM can correctly explain when to use different data formats (dict, csv, sql) in dbt unit tests.
The LLM should:
dict (inline YAML) is the default format and should be used by defaultsql format:
dict or csvcsv format:
sql for readability)sql if column data types aren't supported by csvsql format requires specifying ALL columns (less convenient)dict and csv allow specifying only a subset of columnssql is the most flexible but least readablesqlInstall with Tessl CLI
npx tessl i dbt-labs/dbt-agent-skills@1.1.0evals
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