Individual skill
bigquery-ai-ml
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.
skills/cloud/bigquery-ai-ml/SKILL.md
Source commit 496fbede89dac1faf0d180a936bfc472b6fbf886
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- Yes
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- Observed behavior
- Local scripts
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 23,797
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- google Repository topic
- googlecloud Repository topic
- skills Repository topic
- data Derived category
- writing Derived category
- education Derived category
- data-databases Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 4,373 bytesreferences/ai_agg.mddoc · 3,621 bytesreferences/ai_causal_effect.mddoc · 11,452 bytesreferences/ai_classify.mddoc · 3,800 bytesreferences/ai_detect_anomalies.mddoc · 3,818 bytesreferences/ai_evaluate.mdruns · 2,228 bytesreferences/ai_forecast.mddoc · 4,506 bytesreferences/ai_generate.mddoc · 2,896 bytesreferences/ai_generate_embedding.mdruns · 1,686 bytesreferences/ai_generate_table.mdruns · 3,017 bytesreferences/ai_if.mddoc · 2,051 bytesreferences/ai_key_drivers.mddoc · 4,591 bytesreferences/ai_score.mddoc · 1,922 bytesreferences/ai_search.mddoc · 3,752 bytesreferences/ai_similarity.mddoc · 2,812 bytesreferences/attribution.mddoc · 1,882 bytesreferences/ml_contribution_analysis.mdruns · 4,944 bytesreferences/ml_correlation.mddoc · 9,115 bytesreferences/ml_detect_change_points.mddoc · 5,650 bytesreferences/ml_seasonality.mddoc · 6,783 bytesreferences/ml_trend.mddoc · 4,161 bytesreferences/remote_models.mdruns · 872 bytesreferences/vector_search.mdruns · 4,147 bytes
Read excerpt
# BigQuery AI & ML
BigQuery integrates with Vertex AI to provide powerful machine learning and
generative AI capabilities directly within SQL queries using built-in functions
like `AI.FORECAST`, `AI.KEY_DRIVERS`, `AI.DETECT_ANOMALIES`, and `AI.GENERATE`.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:bigquery-ai-ml)"`
and append `agent-skills/1.0 (skill:bigquery-ai-ml)` to `User-Agent` headers.