finding-google-skills
Locates and loads the right Google product skill on demand from a remote catalog index, instead of preloading every skill. Use at the START of any request…
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, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector
$ npx -y skills add google/skills --skill bigquery-ai-ml --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/bigquery-ai-mlContext preview
The summary Claude sees to decide when to auto-load this skill.
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, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector
name: bigquery-ai-ml metadata: category: AiAndMachineLearning 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, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
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`.
aggregation and summarization.
text.
[ai_detect_anomalies.md](references/ai_detect_anomalies.md) - Detect anomalies.
models.
Time-series forecasting.
text using LLMs.
[ai_generate_embedding.md](references/ai_generate_embedding.md) - Generate embeddings.
[ai_generate_table.md](references/ai_generate_table.md) - Table-valued AI generation.
conditions.
Identifies key drivers, this is a TVF.
search.
Semantic similarity.
Working with remote models (Vertex AI).
[ml_contribution_analysis.md](references/ml_contribution_analysis.md)
a MODEL entity.
Vector search best practices.
concepts, resource management, CLI, and client libraries.
This repository contains Agent Skills for Google products and technologies, including Google Cloud.
Repo: google/skills
Locates and loads the right Google product skill on demand from a remote catalog index, instead of preloading every skill. Use at the START of any request…
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