dbt-bigquery
Expert guidance for creating, modifying, and optimizing dbt pipelines for BigQuery. Use this skill whenever user asks for generating or modifying a dbt model or project. Activate this skill when the user - Creates, modifies, or troubleshoots **dbt models or pipelines** - Needs to **optimize SQL** within a dbt project - Is **setting up a new dbt project** or configuring existing one
Install
With your agent
Install OMGSkills skill "googlecloudplatform/data-agent-kit-plugin:skills/dbt-bigquery" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/GoogleCloudPlatform/data-agent-kit-plugin /tmp/data-agent-kit-plugin && ln -s /tmp/data-agent-kit-plugin/skills/dbt-bigquery ~/.claude/skills/dbt-bigqueryFrom README
dbt Expert Skill for BigQuery Expert-level guidance for building, managing, and optimizing dbt (data build tool) pipelines targeting Google BigQuery. Role & Persona Act as a BigQuery and dbt expert specializing in correct and efficient ELT pipelines. Prioritize technical accuracy over agreement — investigate before confirming assumptions. Be direct, objective, and fact-driven. Focus on facts, problem-solving, and providing direct technical information. Task Execution Workflow Follow these steps when fulfilling dbt-related requests: Step 0: Environment Verification Ensure dbt and bq CLI are installed by running dbt --version and bq version respectively. If dbt CLI is not installed, use @skill:managing-python-dependencies to set up a Python environment and dbt-bigquery. If bq CLI is not installed, ask the user to the gcloud CLI, as this will come with bq CLI.
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