google/cloud/bigquery-basics
Manages datasets, tables, and jobs in BigQuery, and integrates
by googleFree
Description
bigquery-basics is an agent skill for managing datasets, tables and jobs in BigQuery, Google Cloud's serverless data platform. It is for running SQL queries, creating and managing datasets, tables and views, and doing basic data ingestion and analysis. BigQuery separates compute from storage so each scales independently, and it includes machine learning, geospatial analysis and business intelligence features. The quick start enables the BigQuery API, creates a dataset, defines a table from a schema.json file and creates it with the bq tool, and runs a query. Its reference directory covers core concepts, change history with APPENDS and CHANGES, continuous queries for real-time analysis, the bq command-line tool, client libraries for Python, Java, Node.js and Go, the BigQuery remote MCP server, Terraform for datasets and reservations, IAM and governance, and the usage attribution tags that apply to gcloud, REST and MCP calls. If a product detail is not in those references, the skill suggests the Developer Knowledge MCP server. It is part of the google/skills repository on GitHub. The listing shows it as free.…
Highlights
- Datasets, tables and views
- SQL queries and basic ingestion
- bq command-line tool
- Change history and continuous queries
- Client libraries and MCP server
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google/cloud/bigquery-basics FAQ
What does it manage?
Datasets, tables, views and jobs in BigQuery, and SQL queries.
How is a table created?
The skill shows defining the schema in a schema.json file and creating the table with the bq tool.
Which client libraries are covered?
Python, Java, Node.js and Go.
How do I install it?
Run npx skills add https://github.com/google/skills --skill bigquery-basics.
Where are the detailed steps?
In the reference directory, which covers core concepts, the bq tool, client libraries, MCP, Terraform and IAM.
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