Data engineering and analytics-engineering plugins for Claude Code, focused on production-grade workflows for dbt, data warehouses, and the modern data stack.
A comprehensive dbt analytics-engineering toolkit. Fifteen specialized skills cover the full dbt lifecycle — from scaffolding a new project to refactoring legacy SQL, writing tests, debugging runs, and tuning cost — with adapter-specific guidance for Snowflake, BigQuery, Databricks, and Postgres/Redshift. Includes two subagents for PR review and run-failure triage.
What's covered:
- Build phase —
init-project,author-model,materializations,incremental,snapshots - Quality and reuse —
tests,macros,semantic-layer,exposures-docs - Operations —
review,debug,refactor,performance-cost - Lifecycle —
ci-cd,migrate - Subagents —
dbt-pr-reviewer,dbt-run-triage
Read the full plugin documentation.
# Add the marketplace
/plugin marketplace add sansin/claude-plugins
# Install the plugin
/plugin install dbt-engineer@sansin-pluginsgit clone https://github.com/sansin/claude-plugins.git
cd claude-plugins
/plugin marketplace add ./
/plugin install dbt-engineer@sansin-pluginsIf you have the packaged .plugin file:
/plugin install /path/to/dbt-engineer.pluginThis marketplace is intended to grow over time. Planned additions include plugins for warehouse cost optimization, Airflow workflow design, data quality observability, and ML/AI engineering on top of the data layer. Track progress in this repo.
See CONTRIBUTING.md for guidelines on submitting issues, proposing improvements to existing plugins, or suggesting new plugins.
MIT — see LICENSE.