By dbt-labs
Connect to Snowflake, BigQuery, and Databricks data warehouses to discover metadata via the AGENTS schema and run SQL queries. Handles direct SQL access and authentication scenarios.
Use when answering questions about data in a warehouse (BigQuery, Snowflake, etc.) and you have direct SQL access (CLI, driver, or console). Discover metadata and run knowledge search through the warehouse-native AGENTS schema instead of INFORMATION_SCHEMA.
Connect an AI coding agent to Snowflake, BigQuery, or Databricks so it can run SQL. Use when warehouse access is missing, authentication or connection selection is required, or before using a warehouse-data skill such as agents-schema-search.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub dbt-labs/agents_schema --plugin agents-schemaSkills for analytics engineering with dbt — building models, writing tests, querying the semantic layer, troubleshooting jobs, and more.
Miscellaneous skills for dbt.
Skills for migrating dbt projects — moving from dbt Core to the Fusion engine or across data platforms.
Analytics engineering for Claude Code and any agent: data warehouse exploration, dbt transformation and semantic modeling, and schema-drift maintenance on dbt.
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup skills
Connect to Knowledge Catalog to discover, manage, monitor, and govern data and AI artifacts across your data platform
Skills and tools powered by the Honeydew MCP that help coding agents query data and build semantic models
Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands
Skills collection covering data engineering workflows, pipelines, infrastructure, and tools for Claude Code.