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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, or leverage generative AI capabilities in BigQuery.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
A workflow for conducting rigorous, reproducible data investigations and ad-hoc analyses. This skill should be used when investigating a business question, explaining a metric anomaly, validating a hypothesis, performing root cause analysis, or preparing a one-off investigation dashboard or memo.
Drive the `airbyte-agent` CLI to manage Airbyte connectors, workspaces, and organizations. Run list/get/search/create/update actions against connector data (HubSpot, Salesforce, Slack, GitHub, etc.), install new connectors via the browser credential flow, list and switch workspaces, list organizations, inspect connector metadata, read skill docs, or print the merged CLI + OpenAPI schema for any operation. Use when the user mentions Airbyte, the `airbyte-agent` CLI, connectors, syncs, workspaces, organizations, or asks to read/write data from a connected SaaS product.
Queries, manages, and troubleshoots Apache Airflow using the af CLI. Covers listing DAGs, triggering runs, reading task logs, diagnosing failures, debugging DAG import errors, checking connections, variables, pools, and monitoring health. Also routes to sub-skills for writing DAGs, debugging, deploying, and migrating Airflow 2 to 3. Use when user mentions "Airflow", "DAG", "DAG run", "task log", "import error", "parse error", "broken DAG", or asks to "trigger a pipeline", "debug import errors", "check Airflow health", "list connections", "retry a run", or any Airflow operation. Do NOT use for warehouse/SQL analytics on Airflow metadata tables — use analyzing-data instead.
Implement dependency injection in Angular v20+ using inject(), injection tokens, and provider configuration. Use for service architecture, providing dependencies at different levels, creating injectable tokens, and managing singleton vs scoped services. Triggers on service creation, configuring providers, using injection tokens, or understanding DI hierarchy.
Create custom directives in Angular v20+ for DOM manipulation and behavior extension. Use for attribute directives that modify element behavior/appearance, structural directives for portals/overlays, and host directives for composition. Triggers on creating reusable DOM behaviors, extending element functionality, or composing behaviors across components. Note - use native @if/@for/@switch for control flow, not custom structural directives.
Build signal-based forms in Angular v21+ using the new Signal Forms API. Use for form creation with automatic two-way binding, schema-based validation, field state management, and dynamic forms. Triggers on form implementation, adding validation, creating multi-step forms, or building forms with conditional fields. Signal Forms are experimental but recommended for new Angular projects. Don't use for template-driven forms without signals or third-party form libraries like Formly or ngx-formly.
| name | bigquery-ai-ml |
| description | 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, or leverage generative AI capabilities in BigQuery. |
| metadata | {"category":"data","source":{"repository":"https://github.com/google/skills","path":"skills/cloud/bigquery-ai-ml","license_path":"LICENSE","commit":"28d90a333c4d900bcc76e498363e0c835dc69a5c"}} |
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.DETECT_ANOMALIES, and AI.GENERATE.
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.
