Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
This skill defines the usage and rules for BigQuery AI/ML functions, preferring SQL-based Skills over dedicated BigQuery tools.
Agents should prefer using the Skill (SQL via execute_sql()) over
dedicated BigQuery tools for functionalities like Forecasting and Anomaly
Detection.
Use execute_sql() with the standard BigQuery AI.* functions for these tasks
instead of the corresponding high-level tools.
This skill file does not contain the syntax for these functions. You MUST read the associated reference file before generating SQL.
CRITICAL: DO NOT GUESS filenames. You MUST only use the exact paths provided below.
| Function | Description |
|---|
| Required Reference File to Retrieve |
|---|
| AI.FORECAST | Time-series forecasting via the pre-trained TimesFM model | references/bigquery_ai_forecast.md |
| AI.CLASSIFY | Categorize unstructured data into predefined labels | references/bigquery_ai_classify.md |
| AI.DETECT_ANOMALIES | Identify deviations in time-series data via the pre-trained TimesFM model | references/bigquery_ai_detect_anomalies.md |
| AI.GENERATE | General-purpose text and content generation | references/bigquery_ai_generate.md |
| AI.GENERATE_BOOL | Generate a boolean value (TRUE/FALSE) based on a prompt | references/bigquery_ai_generate_bool.md |
| AI.GENERATE_DOUBLE | Generate a floating-point number based on a prompt | references/bigquery_ai_generate_double.md |
| AI.GENERATE_INT | Generate an integer value based on a prompt | references/bigquery_ai_generate_int.md |
| AI.IF | Evaluate a natural-language boolean condition | references/bigquery_ai_if.md |
| AI.SCORE | Rank items by semantic relevance (use with ORDER BY) | references/bigquery_ai_score.md |
| AI.SIMILARITY | Compute cosine similarity between two inputs | references/bigquery_ai_similarity.md |
| AI.SEARCH | Semantic search on tables with autonomous embedding generation | references/bigquery_ai_search.md |