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Agent Skills for Google products and technologies
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- BigQuery AI.AGGAI.AGG uses a Vertex AI Gemini model to aggregate data based on natural language instructions and returns a STRING. It enables reasoning over groups of rows, up to an entire table.skills/cloud/bigquery-ai-ml/references/ai_agg.md
- BigQuery AI.CAUSAL_EFFECTAI.CAUSAL_EFFECT quantifies the impact of specific interventions on time series data by comparing observed post-intervention values against an ARIMA_PLUS counterfactual baseline. It returns aggregate…skills/cloud/bigquery-ai-ml/references/ai_causal_effect.md
- BigQuery AI.ClassifyAI.CLASSIFY categorizes unstructured data into a predefined set of labels.skills/cloud/bigquery-ai-ml/references/ai_classify.md
- BigQuery AI.Detect_AnomaliesAI.DETECT_ANOMALIES uses the pre-trained TimesFM model to identify deviations in time series data without needing to train a custom model.skills/cloud/bigquery-ai-ml/references/ai_detect_anomalies.md
- AI.EVALUATEEvaluates the accuracy of a forecasting model by comparing predicted values against actual historical data. It computes standard regression metrics like MAE, MSE, and RMSE.skills/cloud/bigquery-ai-ml/references/ai_evaluate.md
- BigQuery AI.ForecastAI.FORECAST leverages the pre-trained TimesFM foundation model to generate forecasts without the need to train and manage custom models.skills/cloud/bigquery-ai-ml/references/ai_forecast.md
- BigQuery AI.GenerateAI.GENERATE is a general-purpose function for text and content generation.skills/cloud/bigquery-ai-ml/references/ai_generate.md
- AI.GENERATE_EMBEDDINGUsed to generate high-dimensional numerical vectors (embeddings) for text or visual content. These embeddings can be used for semantic search, clustering, and recommendation systems.skills/cloud/bigquery-ai-ml/references/ai_generate_embedding.md
- AI.GENERATE_TABLEUses Gemini models to extract information into a predefined SQL schema. It is a "Table-Valued Function," meaning it is called in the FROM clause.skills/cloud/bigquery-ai-ml/references/ai_generate_table.md
- BigQuery AI.IfAI.IF is a semantic boolean function used to evaluate a condition described in natural language.skills/cloud/bigquery-ai-ml/references/ai_if.md
- BigQuery AI.Key_DriversAI.KEY_DRIVERS automatically identifies the key dimensional segments most responsible for driving changes in a specified metric between a defined interest group and a reference group.skills/cloud/bigquery-ai-ml/references/ai_key_drivers.md
- BigQuery AI.ScoreThe AI.SCORE function is commonly used with the ORDER BY clause and works well when you want to rank items. The following are common use cases:skills/cloud/bigquery-ai-ml/references/ai_score.md
- BigQuery AI.SearchAI.SEARCH is a table-valued function for semantic search on tables that have autonomous embedding generation enabled. If your table has a column that has generated_expression metadata with format "AI…skills/cloud/bigquery-ai-ml/references/ai_search.md
- BigQuery AI.SimilarityAI.SIMILARITY computes the semantic similarity between two inputs.skills/cloud/bigquery-ai-ml/references/ai_similarity.md
- Usage AttributionMUST READ: Before executing any gcloud, REST API, or MCP command with this skill, follow these usage attribution instructions. Tag every command you execute directly in the terminal so usage can be a…skills/cloud/bigquery-ai-ml/references/attribution.md
- Contribution AnalysisContribution analysis, also called key driver analysis, is a method used to generate insights about changes to key metrics in your multi-dimensional data.skills/cloud/bigquery-ai-ml/references/ml_contribution_analysis.md
- BigQuery ML.CORRELATIONML.CORRELATION is a Table-Valued Function (TVF) that calculates the statistical correlation between a target column and one or more target correlation columns, optionally sliced by various dimensions.skills/cloud/bigquery-ai-ml/references/ml_correlation.md
- BigQuery ML.Detect_Change_PointsML.DETECT_CHANGE_POINTS is a one-step Table-Valued Function (TVF) that identifies intervals where the statistical behavior of time series data have shifted. It distinguishes structural breaks (e.g. "…skills/cloud/bigquery-ai-ml/references/ml_detect_change_points.md
- BigQuery ML.SeasonalityML.SEASONALITY is a time-series decomposition function that extracts seasonal components to decouple recurring patterns from the underlying trend and noise.skills/cloud/bigquery-ai-ml/references/ml_seasonality.md
- BigQuery ML.TrendML.TREND is a time-series decomposition function that extracts the underlying long-term direction of data, isolating the persistent growth or decline from seasonal fluctuations and random noise witho…skills/cloud/bigquery-ai-ml/references/ml_trend.md
- Creating Remote ModelsGenerative and embedding functions require a remote model that points to a specific endpoint (e.g., Gemini). Remote models are created using a connection to interact with Vertex AI.skills/cloud/bigquery-ai-ml/references/remote_models.md
- VECTOR_SEARCHBigQuery VECTOR_SEARCH is a table-valued function used to find semantically similar entities by searching embeddings in a base table against embeddings in a query table.skills/cloud/bigquery-ai-ml/references/vector_search.md
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