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home / skills / dbt-labs / dbt-agent-skills
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.
9 skills
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fetching-dbt-docs
dbt-labs/dbt-agent-skills
152
This skill helps fetch and summarize dbt documentation by converting URLs to markdown, guiding page searches, and locating relevant topics.
troubleshooting-dbt-job-errors
dbt-labs/dbt-agent-skills
152
This skill systematically diagnoses and resolves dbt Cloud job failures by analyzing run data, errors, and logs to identify root causes.
answering-natural-language-questions-with-dbt
dbt-labs/dbt-agent-skills
152
This skill answers natural language business questions by querying dbt semantic layer, then explores models or manifests if needed to provide an accurate
adding-dbt-unit-test
dbt-labs/dbt-agent-skills
152
This skill guides you in creating robust dbt unit tests to validate model logic before production, ensuring reliability and preventing regressions.
configuring-dbt-mcp-server
dbt-labs/dbt-agent-skills
152
This skill guides you through configuring and troubleshooting the dbt MCP server for Claude, Cursor, and VS Code to enable seamless AI tooling.
building-dbt-semantic-layer
dbt-labs/dbt-agent-skills
152
This skill guides creating and modifying dbt semantic layer components, including models, entities, dimensions, and metrics, with validation and spec guidance.
running-dbt-commands
dbt-labs/dbt-agent-skills
152
This skill helps execute dbt commands reliably by selecting appropriate CLI flavor, applying best practices, and validating selectors for efficient builds.