bigquery-ai-ml

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

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Repositório: google/adk-python
Última atividade na origem: 4 de abril de 2026 às 00:51
Idioma detectado do SKILL.md: inglês
Estrelas: 21.148
Forks: 3.843

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

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

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Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

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12 arquivos

SKILL.md

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adk-sample-creator

Creates a new sample agent in the ADK Python repository — the sample directory, its `agent.py`, and its `README.md` — following the conventions the existing samples already use. Use when the user wants to add a sample or example demonstrating a feature or agent pattern (dynamic nodes, fan-out/fan-in, a standalone tool-using agent), asks where a new sample belongs under `contributing/samples/`, or wants an existing sample's README brought up to the standard structure. Don't use for building a real working agent for the user's own project (use `adk-agent-builder`), or for checking whether the Python blocks in a Markdown file run (use `adk-verify-snippets`).

2026-08-14

adk-agent-builder

Builds ADK (Agent Development Kit) Python agents: LLM agents with tools, graph workflows of function and agent nodes, conditional routing, fan-out and join, schema-validated delegation between agents, human-in-the-loop pauses, and pytest coverage for all of it. Use when asked to create an agent or a workflow, add a tool to one, branch or loop between nodes, run steps in parallel, pause for user approval, or test an agent. Don't use for explaining how ADK works internally or designing its core components (use `adk-architecture`), for an agent that already runs but misbehaves (use `adk-debug`), for authoring a sample under `contributing/` (use `adk-sample-creator`), or for naming, typing, and formatting conventions (use `adk-style`).

2026-08-13

adk-architecture

Explains how the ADK runtime fits together: the node and graph execution model, Context and Event flow, checkpoint and resume, tracing, and the rules governing the public API surface. Use when answering "how does X work" about ADK internals, tracing where an event or a piece of state comes from, deciding where a new capability belongs, reviewing a change to BaseNode, Workflow, Runner, Agent, Event or Context, working out why a node re-ran or stayed waiting after a resume, or judging whether a change breaks the public API. Don't use for assembling an agent from existing pieces (use adk-agent-builder), diagnosing one failing run or test (use adk-debug), or formatting and naming conventions (use adk-style).

2026-08-13

Ver todas deste repositório

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

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

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).

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).

bigquery-ai-ml

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Skill: bigquery-ai-ml

1. Skill vs Tool Preference (BigQuery AI/ML)

2. Mandatory Reference Routing

Mais deste repositório

Skill: bigquery-ai-ml

1. Skill vs Tool Preference (BigQuery AI/ML)

2. Mandatory Reference Routing