Skip to main content

bigquery-ai-ml

Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).

Quellinformationen

Repository
gemini-cli-extensions/bigquery-data-analytics
Letzte Quellaktivität
16. April 2026 um 18:56
Erkannte Sprache von SKILL.md
Englisch
Sterne
50
Forks
4

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
12 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
bigquery-ai-ml
license
Apache-2.0
metadata
{"author":"google-adk","version":"1.0"}
description
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` |
Auf GitHub ansehen