By dbt-labs
Migrate dbt projects from Core to Fusion engine or across data platforms like Snowflake to Databricks by triaging errors as auto-fixable or guided, adapting SQL dialects, and validating fixes with dbt debug, compile, and unit tests.
Classifies dbt-core to Fusion migration errors into actionable categories (auto-fixable, guided fixes, needs input, blocked). Use when a user needs help triaging migration errors to understand what they can fix vs what requires Fusion engine updates.
Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.
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npx claudepluginhub dbt-labs/dbt-agent-skills --plugin dbt-migrationMiscellaneous skills for dbt.
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Skills for analytics engineering with dbt — building models, writing tests, querying the semantic layer, troubleshooting jobs, and more.
How to build, configure, run, and debug dbt projects on the duckrun adapter (DuckDB executes model SQL, delta-rs writes Delta tables) — local or on S3/GCS/ADLS/OneLake (Microsoft Fabric).
Spec-Driven Development framework for Data Engineering — 58 agents, 24 KB domains, 5-phase SDD workflow, 31 commands
Editorial "Data Engineering" bundle for Claude Code from Antigravity Awesome Skills.
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Agent skills for dbt, Fly.io, service design, and strategy frameworks.