Query BigQuery datasets at scale with SQL, generate AI-powered queries for ML functions like FORECAST, CLASSIFY, and DETECT_ANOMALIES, analyze contributions to metric changes, derive insights from query results, and perform time-series forecasting to explain data shifts and project trends.
npx claudepluginhub gemini-cli-extensions/bigquery-data-analytics --plugin bigquery-data-analyticsThis plugin requires configuration values that are prompted when the plugin is enabled. Sensitive values are stored in your system keychain.
bigquery_projectID of the Google Cloud project
${user_config.bigquery_project}bigquery_location(Optional) Location of the BigQuery resources
${user_config.bigquery_location}Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
Use these skills when you need to handle advanced data intelligence and predictive tasks. Use when a user asks "why" data changed or needs future projections. Provides automated insight generation and time-series forecasting.
Use these skills when you need to handle large-scale data exploration and dataset management. Use when users need to find data assets or run SQL at scale. Provides metadata discovery and query execution across the data warehouse.
Comprehensive BigQuery skill suite: query optimization, SQL generation, schema design, cost optimization, and feature guidance.
Share bugs, ideas, or general feedback.
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
BigQuery cost analysis and optimization utilities
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.
Data engineering and time series analysis mastery. Expert in jq, SQL, pandas, time series forecasting, ETL pipelines, streaming, and analytics visualization.
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.