bigquery-ai-ml
Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
معلومات المصدر
- المستودع
- gemini-cli-extensions/bigquery-data-analytics
- آخر نشاط في المصدر
- ١٦ أبريل ٢٠٢٦ في ١٨:٥٦
- لغة SKILL.md المكتشفة
- الإنجليزية
- النجوم
- ٥٠
- التفرعات
- ٤
خيارات التثبيت
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
مراجعة ملفات المصدر
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
مستكشف الملفات
12 ملفاتعرض SKILL.md
SKILL.md
تعليمات المصدر · معاينة للقراءة فقط- 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` |
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