Connect to Looker.
Plugin looker from marketplace data-cloud-plugins in GoogleCloudPlatform/data-cloud-plugins. Commands read from the repo's manifest — 3 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
lookerruns: npx -y @toolbox-sdk/[email protected] --prebuilt looker --stdio
looker-devruns: npx -y @toolbox-sdk/[email protected] --prebuilt looker-dev --stdio
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
Install the "AAS Data Analytics & Business Intelligence" workflow plugin from Agentic Awesome Skills.
16 skills
Connect to Looker.
2 MCP servers
Answer product and business questions with data
18 skills · 1 MCP server · app connector
Data governance, warehouse and semantic modeling, business intelligence, and AI/ML governance.
7 skills
6 data analytics skills: data analysis, business intelligence, data science, statistics, ML ops, and analytics engineering
6 skills
Help HR managers, recruiters, and talent acquisition teams understand Data Engineering, Data Analytics, Data Science, Business Intelligence, Machine Learning, and modern data ecosystems. Use when asked to explain data roles, screen data engineers or data scientists, understand analytics workflows, compare data engineering and data science, evaluate data skills, create data interview questions, understand AI and machine learning teams, or any data and analytics hiring and recruiting task.
163 skills
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