Loading
Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
Recommended by author
This prompt takes no variables — just pick a model and run.
# Skill: bigquery-ai-ml This skill defines the usage and rules for BigQuery AI/ML functions, preferring SQL-based Skills over dedicated BigQuery tools. ## 1. Skill vs Tool Preference (BigQuery AI/ML) 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. ## 2. Mandatory Reference Routing 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` |
Running prompts needs a free account.
Sign in and we'll stream the response from Claude Sonnet 4.6 right here — no config needed for the platform models.
Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
# Skill: bigquery-ai-ml This skill defines the usage and rules for BigQuery AI/ML functions, preferring SQL-based Skills over dedicated BigQuery tools. ## 1. Skill vs Tool Preference (BigQuery AI/ML) 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. ## 2. Mandatory Reference Routing 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` |