Bigquery AI Ml

google/bigquery-ai-ml

>- Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI capabilities in BigQuery.

4k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

15506

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/google/skills --skill bigquery-ai-ml

What comes with it

15 811 bytes besides the instruction

references/ai_detect_anomalies.md

references/ai_forecast.md

references/ai_generate.md

references/ai_key_drivers.md

The instruction itself

3 sections, as written by the author

BigQuery AI & ML

BigQuery integrates with Vertex AI to provide powerful machine learning and

generative AI capabilities directly within SQL queries using built-in functions

like AI.FORECAST, AI.KEY_DRIVERS, AI.DETECT_ANOMALIES, and AI.GENERATE.

Reference Directory

AI Forecast: Leveraging pre-trained

TimesFM model for forecasting without custom training.

AI Detect Anomalies: Identify

deviations in time series data using pre-trained TimesFM model.

AI Generate: General-purpose text and

content generation using Gemini models.

AI Key Drivers: Automatically identify

dimensional segments most responsible for driving changes in a metric.

BigQuery Basics Skill:

SKILL.md file for core BigQuery concepts, resource management, CLI,

and client libraries.

How to use it

Copy the folder

Take google/bigquery-ai-ml from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.