analytics-engineering plugins

by Mohit Aggarwal

Analytics-engineering skills: dbt Model Spec, Data Contract, Metric Semantic Layer, Experiment Readout (with a stdlib significance calculator), SQL Optimizer, and Data Quality Checks.

by Exmergo, Inc.

Analytics engineering for Claude Code and any agent: data warehouse exploration, dbt transformation and semantic modeling, and schema-drift maintenance on dbt.

by Matt Corbett

Analytics-engineering team — agents (analytics-engineer, semantic-layer-engineer, data-quality-testing-engineer) for the TRANSFORMATION layer in the modern data stack: dbt modeling (staging -> intermediate -> marts, the medallion/Kimball split, incremental models, materializations), a governed semantic/metrics layer (one definition of revenue/active-user, metrics-as-code) so every tool agrees, and data quality (dbt tests, freshness, model contracts, anomaly checks) that gates the warehouse. Warehouse-neutral (Snowflake/BigQuery/Redshift/Databricks). skills, a decision-tree knowledge bank (materialization + model-layer trees + a dated 2026 map), best-practices, templates, commands, an advisory hook. Distinct from data-platform (ingestion/warehouse/BI) and database-engineering (OLTP). Seams: ELT/warehouse provisioning -> data-platform, OLTP -> database-engineering, BI -> tableau/data-platform, enterprise lakehouse -> microsoft-fabric. Requires ravenclaude-core@>=0.7.0.

by Hodios contributors

Hodios data entries: prompts, personas and workflows.