4 boosters for "dbt" — open source, verified from GitHub, ready to install
A specialized agent that guides users through designing, building, and operating scalable data pipelines and lakehouse architectures. Data engineers, analytics engineers, and platform teams use this to architect reliable ETL/ELT systems and cloud data infrastructure.
Automates GitHub pull request reviews by analyzing code for bugs, security issues, performance problems, and test coverage gaps, then posts findings directly to GitHub. Essential for engineering teams using Claude in their development workflow.
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
An MCP server that integrates DBT Semantic Layer API capabilities into Claude, enabling developers to query semantic models and metrics directly from their AI assistant. This tool is valuable for analytics engineers and data teams using DBT who want to leverage AI for semantic layer exploration and insights.
