Skills, plugins and agents for ETL & data pipelines

Create production-ready Apache Airflow DAGs by following best practices for operators, sensors, testing, and deployment. Ut

ETL & data pipelines

sickn33

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper.

ETL & data pipelines

K-Dense-AI

Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries.

ETL & data pipelines

K-Dense-AI

Ajoute Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper

ETL & data pipelines

PluginAlireza Rezvani

SQL and BigQuery analysis for data-driven insights.

ETL & data pipelines

davepoon

Map dbt `schema.yml` / `properties.yml` models and sources into ktx semantic-layer overlays and column notes.

ETL & data pipelines

Kaelio

Full data-product lifecycle on dbt for Entropy Data: scaffold, audit, and integrate projects with ODCS, ODPS, OpenLineage, and GitHub Actions.

ETL & data pipelines

Pluginentropy-data