databricks plugins

by Data Analytics Maintainers

Answer product and business questions with data

by Jeremy Longshore

MCP server for the Databricks control plane — 8 read-only tools for cluster forensics, instance pools, DLT pipeline event logs, and Unity Catalog external locations / storage credentials. The endpoint families no managed Databricks MCP exposes; pairs with the managed SQL MCP for system.* reads.

by Jeremy Longshore

5 live-detection Databricks skills — cost-leak-hunter, cluster-forensics, uc-migration-pilot, streaming-guardian, bundle-medic — backed by the databricks-workspace-mcp server.

by Jeremy Longshore

5 live-detection Databricks skills — cost-leak-hunter, cluster-forensics, uc-migration-pilot, streaming-guardian, bundle-medic — backed by the databricks-workspace-mcp server.

by Jeremy Longshore

MCP server for the Databricks control plane — 8 read-only tools for cluster forensics, instance pools, DLT pipeline event logs, and Unity Catalog external locations / storage credentials. The endpoint families no managed Databricks MCP exposes; pairs with the managed SQL MCP for system.* reads.

by Jeremy Longshore

Claude Code skill pack for Databricks (24 skills)

by Data Analytics Maintainers

Answer product and business questions with data

by Databricks

Consort: a Spec-First Branched-Database TDD agent framework for building transactional applications on Lakebase (Databricks' serverless Postgres/OLTP database, not the Delta Lakehouse). A deterministic orchestrator drives role agents through a spec-first design lane and a test-driven build lane whose every cycle runs against a live copy-on-write branch of a real Postgres database, with human-in-the-loop gates that fail closed. For application backends on Postgres, not ETL or analytics. Run /consort:start to launch the workflow.

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

Databricks lakehouse engineering team — agents (lakehouse-architect, databricks-platform-engineer) answering 'how do we build this on Databricks correctly and affordably?': medallion (bronze/silver/gold) architecture, Delta Lake table design (partitioning, liquid clustering, OPTIMIZE/Z-ORDER, VACUUM), Unity Catalog governance (catalogs/schemas/grants, lineage), Spark & PySpark job design and the shuffle/skew/spill failure modes, Structured Streaming & Auto Loader, DLT pipelines, Photon, Jobs/Workflows orchestration, and cluster/SQL-warehouse sizing & cost control (DBUs, autoscaling, spot, serverless). Engineering judgment, not a benchmark; DBR/runtime/pricing specifics are volatile — every version carries a retrieval date + [verify-at-use]. Distinct from microsoft-fabric (Fabric/OneLake), data-platform (generic ETL), data-orchestration (Airflow/Dagster), analytics-engineering (dbt/semantic layer), and ml-engineering (classical MLOps). Needs ravenclaude-core.

by Databricks

Databricks development skills bundled with Snowflake Cortex Code (CoCo).

by Junjie Luo

Skills for the haipipe data + NN + endpoint pipeline. Tier-1 user umbrellas (/haipipe-data, /haipipe-nn, /haipipe-end, /haipipe-project, /haipipe-individual) parse intent and dispatch to per-stage / per-target / per-risk-profile Tier-2 specialists. Covers stages 0-2 (per-individual data contract), 1-4 (project-wide data build), 5 (model training), 6 (endpoint packaging + deploy targets: SageMaker, Databricks, Flask, MLflow), and per-project scaffolding.

by Junjie Luo

JHU Research-IT helpdesk chatbot. Answers how-to questions about Johns Hopkins research IT infrastructure (PMAP, SAFE, SAFER, Discovery, Databricks, Crunchr, Epic Cosmos, REACH) by reading a local WIKI/ knowledge base. Invoke as /jhu-research-it.

by Data Analytics Maintainers

Answer product and business questions with data