gemini-cli-extensions/bigquery-data-analytics · Archived

bigquery-ai-ml

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

First seen Apr 28, 2026

Installation

$ npx skills add gemini-cli-extensions/bigquery-data-analytics --skill bigquery-ai-ml

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 49
License LICENSE
Default branch main
Open issues 3
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0
LicenseApache-2.0
Declared agents gemini
More metadata
author
google-adk
version
1.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,368 B
  • docs SUMMARY.md 146 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 22 installs

SKILL.md

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/bigqueryaiforecast.md
AI.CLASSIFY Categorize unstructured data into predefined labels references/bigqueryaiclassify.md
AI.DETECT_ANOMALIES Identify deviations in time-series data via the pre-trained TimesFM model references/bigqueryaidetect_anomalies.md
AI.GENERATE General-purpose text and content generation references/bigqueryaigenerate.md
AI.GENERATE_BOOL Generate a boolean value (TRUE/FALSE) based on a prompt references/bigqueryaigenerate_bool.md
AI.GENERATE_DOUBLE Generate a floating-point number based on a prompt references/bigqueryaigenerate_double.md
AI.GENERATE_INT Generate an integer value based on a prompt references/bigqueryaigenerate_int.md
AI.IF Evaluate a natural-language boolean condition references/bigqueryaiif.md
AI.SCORE Rank items by semantic relevance (use with ORDER BY) references/bigqueryaiscore.md
AI.SIMILARITY Compute cosine similarity between two inputs references/bigqueryaisimilarity.md
AI.SEARCH Semantic search on tables with autonomous embedding generation references/bigqueryaisearch.md