Skills for Dataproc.
Plugin dataproc from marketplace data-cloud-plugins in GoogleCloudPlatform/data-cloud-plugins. Commands read from the repo's manifest — 3 days ago.
dataproc-skillsSkills to interact with your Dataproc clusters and jobs.
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.
37 skills
Create, connect, and interact with a Cloud SQL for PostgreSQL database and data.
8 skills
Context Engineering Agent for generating and maintaining QueryData / Conversational Analytics API context sets (templates, facets, value searches) for natural language to SQL tasks. Works with AlloyDB, Cloud SQL for MySQL, Cloud SQL for PostgreSQL, and Spanner.
6 skills · 2 MCP servers
Vetted Google Cloud Storage skills for your coding agent.
5 skills · 1 MCP server
Connect and interact with a Cloud SQL for MySQL database and data.
4 skills
Connect to Cloud SQL for SQL Server.
4 skills
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
4 skills · 2 commands · 2 agents
Skills for Dataproc.
1 skill
'Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).'
1 skill
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
2 commands · 2 agents
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
2 commands · 2 agents
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
2 commands · 2 agents
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