bigquery-ai-ml
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics.
Skill by googleOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend, data, ml, writing
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/bigquery-ai-ml
What's inside
- Skill 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, 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, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
- License
- Apache-2.0
- Metadata
- version: 1.1.1 · category: AiAndMachineLearning
- Instructions
- 74 lines in SKILL.md · view on GitHub
Files (23)
- SKILL.md
- ai_agg.md · references/
- ai_causal_effect.md · references/
- ai_classify.md · references/
- ai_detect_anomalies.md · references/
- ai_evaluate.md · references/
- ai_forecast.md · references/
- ai_generate.md · references/
- ai_generate_embedding.md · references/
- ai_generate_table.md · references/
- ai_if.md · references/
- ai_key_drivers.md · references/
- ai_score.md · references/
- ai_search.md · references/
- ai_similarity.md · references/
- attribution.md · references/
- ml_contribution_analysis.md · references/
- ml_correlation.md · references/
- ml_detect_change_points.md · references/
- ml_seasonality.md · references/
- ml_trend.md · references/
- remote_models.md · references/
- vector_search.md · references/
SKILL.md (first lines)
# BigQuery AI & ML
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`.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:bigquery-ai-ml)"`
and append `agent-skills/1.0 (skill:bigquery-ai-ml)` to `User-Agent` headers.
## Reference Directory
- **Functions Reference**:
- **AI.AGG**: [ai_agg.md](references/ai_agg.md) - Multi-row semantic
aggregation and summarization.
- **AI.CAUSAL_EFFECT**:
[ai_causal_effect.md](references/ai_causal_effect.md) - Quantifies the
impact of an intervention on a time series.
- **AI.CLASSIFY**: [ai_classify.md](references/ai_classify.md) - Classify
text.
- **AI.DETECT_ANOMALIES**:
[ai_detect_anomalies.md](references/ai_detect_anomalies.md) - Detect
anomalies.
- **AI.EVALUATE**: [ai_evaluate.md](references/ai_evaluate.md) - Evaluate
models.
- **AI.FORECAST**: [ai_forecast.md](references/ai_forecast.md) -
Time-series forecasting.
- **AI.GENERATE**: [ai_generate.md](references/ai_generate.md) - Generate
text using LLMs.
- **AI.GENERATE_EMBEDDING**:
[ai_generate_embedding.md](references/ai_generate_embedding.md) -
Generate embeddings.
- **AI.GENERATE_TABLE**:
[ai_generate_table.md](references/ai_generate_table.md) - Table-valued
AI generation.
- **AI.IF**: [ai_if.md](references/ai_if.md) - Evaluate semantic
conditions.
- **AI.KEY_DRIVERS**: [ai_key_drivers.md](references/ai_key_drivers.md) -
Identifies key drivers, this is a TVF.
- **AI.SCORE**: [ai_score.md](references/ai_score.md) - Score data.
- **AI.SEARCH**: [ai_search.md](references/ai_search.md) - Semantic
search.
- **AI.SIMILARITY**: [ai_similarity.md](references/ai_similarity.md) -
Semantic similarity.
- **Remote Models**: [remote_models.md](references/remote_models.md) -
Working with remote models (Vertex AI).
- **CONTRIBUTION_ANALYSIS**:
[ml_contribution_analysis.md](references/ml_contribution_analysis.md)
- Finds contributing factors, key drivers of change. Requires creating
a MODEL entity.
- **ML.CORRELATION**: [ml_correlation.md](references/ml_correlation.md) -
Calculates correlation between columns, optionally sliced by dimensions.
- **ML.DETECT_CHANGE_POINTS**:
[ml_detect_change_points.md](references/ml_detect_change_points.md) -
Detects structural breaks or sustained shifts in a time series.
- **ML.SEASONALITY**: [ml_seasonality.md](references/ml_seasonality.md) -
Extracts seasonal components from a time series.
- **ML.TREND**: [ml_trend.md](references/ml_trend.md) - Extracts the
long-term trend component from a time series.
- **VECTOR_SEARCH**: [vector_search.md](references/vector_search.md) -
Vector search best practices.
## Related Skills
- [BigQuery Basics Skill](../bigquery-basics): SKILL.md file for core BigQuery
concepts, resource management, CLI, and client libraries.From google/skills, Apache-2.0.
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- Stars
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- Forks
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- Open issues
- 21
- Last commit (this folder)
- Oct 20, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.1.1
- License
- Apache-2.0
- Repository
- github.com/google/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
bigquery-ai-ml skill. Agent Mart. https://agentmart.dev/skills/google-bigquery-ai-ml (last updated 2026-10-24)