bigquery-ai-ml
bigquery-ai-ml is an agent skill published by google, listed under data & analysis. It lives in the google/skills repository, which has 21,580 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-10-21.
This tool leverages BigQuery's machine learning and GenAI capabilities to perform advanced data analytics such as time-series forecasting, anomaly detection, and semantic search. It requires authentication to access BigQuery resources.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads google/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add google/skills
Maintenance
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
bigquery-ai-ml compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| bigquery-ai-ml (this page) | Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when y… | 21,580 | 2026-10-25 | |
| agent-platform-rag-engine-management(same repository) | Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.… | 21,580 | 2026-10-25 | |
| alloydb-basics(same repository) | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Contex… | 21,580 | 2026-10-25 | |
| bigquery-basics(same repository) | Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries,… | 21,580 | 2026-10-25 | |
| bigquery-bigframes(same repository) | Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involvin… | 21,580 | 2026-10-25 | |
| bigtable-basics(same repository) | Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use wh… | 21,580 | 2026-10-25 | |
| cloud-sql-basics(same repository) | This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL i… | 21,580 | 2026-10-25 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about bigquery-ai-ml
- What does bigquery-ai-ml do?
- This tool leverages BigQuery's machine learning and GenAI capabilities to perform advanced data analytics such as time-series forecasting, anomaly detection, and semantic search. It requires authentication to access BigQuery resources.
- How do I install bigquery-ai-ml?
- Run npx skills add google/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes bigquery-ai-ml?
- google.
- Is bigquery-ai-ml maintained, and what licence does it use?
- Its repository has 21,580 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-25. The repository declares the Apache-2.0 licence.
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