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.
91
Does it follow best practices?
Validation for skill structure
CLAUDE.mdevals/
Skill Eval CLI
See AGENTS.md for development conventions.
Quick reference:
- Use
typer.echo()for CLI output,loggerfromlogging.pyfor progress - Run
uv run ty check src/before committing - Add tests for new features
- Check dataclasses in
models.pyandrunner.pywhen modifying commands
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