Databricks · Data pipelines and ETL

A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.

databricks/dbt-databricks

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures.

davila7/claude-code-templates

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.

Kilo-Org/kilo-marketplace

Analyze DBSQL queries, including SQL embedded in notebooks (spark.sql(...), %sql cells), for anti-patterns, lint issues, and performance problems, using Databricks-specific dialect and platform…

AltimateAI/data-engineering-skills

Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks.

databricks/databricks-agent-skills

Persists task and asset state across retries and DAG runs using Airflow 3.3's AIP-103 key/value stores (taskstatestore, assetstatestore) and the crash-safe ResumableJobMixin.

astronomer/agents

Guard production Databricks data pipelines — Delta Lake, Liquid Clustering, Structured Streaming, Auto Loader, and DLT — against the twelve foot-guns that fire at scale: OPTIMIZE/auto-compaction…

jeremylongshore/tons-of-skills-marketplace

A skill your agent uses 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…

Kilo-Org/kilo-marketplace

Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns.

MicrosoftDocs/Agent-Skills