dbt-agent-skills
A curated collection of Agent Skills for working with dbt. These skills help AI agents understand and execute dbt workflows more effectively.

A curated collection of Agent Skills for working with dbt. These skills help AI agents understand and execute dbt workflows more effectively.
Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for…
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions.…
Use when checking skills for security or quality issues, reviewing audit results from skills.sh or Tessl, or remediating findings…
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time…
Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when…
Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks.…
Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up…
Audits dbt documentation coverage and drafts missing model/column descriptions in the project's own house style, one folder at a…
Use when a user needs help triaging dbt-core to dbt v2 migration errors. Runs dbt-autofix first, then classifies remaining errors…
Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks…
Use when answering questions about a dbt v2 project's own metadata — which models, sources, tests, columns, configs, tags,…
Formats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters. Use when running…
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