bigquery-ai-ml
GoogleCloudPlatform/data-agent-kit-plugin / skills/bigquery-ai-ml
forecasts, detects anomalies and key drivers in SQL , which improves: ML analysis without leaving BigQuery
Details
- judge’s score
- 7/10
- place
- outside the packs
- publisher
- GoogleCloudPlatform
- status
- new
- pinned commit
- 9a49a83 on GitHub (new tab)
- skill’s last commit
- Oct 13, 2026
- repo stars
- 224
- main type
- Data
Judgement
Clear description focused on BigQuery AI. Useful annexes with syntax, but mostly taken from the official documentation; the main routing rule is truncated and cannot be verified. No visible maintainer pitfalls.
reservations
- The file ai_function_best_practices.md is truncated (695 characters out of 2836), so the mandatory routing rules cannot be assessed.
- ai_forecast.md is truncated at 5000 characters out of 6671.
- Annexes mostly copied from the official documentation, with little original know-how.
- Several annexes are not provided (ai_generate, ai_key_drivers, vector_search, etc.); their content cannot be assessed.
- Triggering
- 2/2
- Added value
- 1/2
- Precision
- 1/2
- Scope
- 2/2
- Quality
- 1/2
Alerts
2 alerts, by category
Static scan
- high risk
scripts run by the SKILL.md
references/ai_evaluate.md, references/ai_function_best_practices.md, references/ai_generate_embedding.md, references/ai_generate_table.md, references/ml_contribution_analysis.md
Network
- high risk
The SKILL.md requires going through %%bqsql and 'DEFAULT' connections; using Vertex AI connections means sending table data to a third-party model, which needs to be framed.
Original 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, find key drivers, or leverage generative AI capabilities in BigQuery.
added on Oct 19, 2026 · license Apache-2.0