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gemini-cli-extensions/data-agent-kit-starter-pack

bigquery-ai-ml

>- 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.

First seen Aug 9, 2026

Installation

$ npx skills add gemini-cli-extensions/data-agent-kit-starter-pack --skill bigquery-ai-ml
View on skills.sh ↗ GitHub repository ↗

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Also in this package

Other skills from gemini-cli-extensions/data-agent-kit-starter-pack · top by installs.

npx skills add gemini-cli-extensions/data-agent-kit-starter-pack
gcp-pipeline-resource-provisioning 14 dataform-bigquery 14 discovering-gcp-data-assets 13 managing-python-dependencies 13 gcp-dataflow 13 dbt-bigquery 13 building-data-apps 13 bigquery-data-transfer-service 13 accidental-data-loss-prevention 13 ml-best-practices 12

Browse all from gemini-cli-extensions/data-agent-kit-starter-pack

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 179
License LICENSE
Default branch main
Open issues 3
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Versionv1
Declared agents gemini
More metadata
version
v1

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,871 B
  • docs SUMMARY.md 284 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

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.KEYDRIVERS, AI.DETECTANOMALIES, and AI.GENERATE.

[!IMPORTANT]
You MUST read and follow the global constraints and mandatory function routing rules in
[aifunctionbestpractices.md](references/aifunctionbestpractices.md) before writing any BQML AI/ML SQL query.

Reference Directory

  • Best Practices:

[aifunctionbestpractices.md](references/aifunctionbestpractices.md)

  • Functions Reference:

- AI.AGG: [aiagg.md](references/aiagg.md) - Multi-row semantic aggregation and summarization. - AI.CLASSIFY: [aiclassify.md](references/aiclassify.md) - Classify text. - AI.DETECTANOMALIES: [aidetectanomalies.md](references/aidetectanomalies.md) - Detect anomalies. - AI.EVALUATE: [aievaluate.md](references/aievaluate.md) - Evaluate models. - AI.FORECAST: [aiforecast.md](references/aiforecast.md) - Time-series forecasting. - AI.GENERATE: [aigenerate.md](references/aigenerate.md) - Generate text using LLMs. - AI.GENERATEEMBEDDING: [aigenerateembedding.md](references/aigenerateembedding.md) - Generate embeddings. - AI.GENERATETABLE: [aigeneratetable.md](references/aigeneratetable.md) - Table-valued AI generation. - AI.IF: [aiif.md](references/aiif.md) - Evaluate semantic conditions. - AI.KEYDRIVERS: [aikeydrivers.md](references/aikeydrivers.md) - Identifies key drivers, this is a TVF. - AI.SCORE: [aiscore.md](references/aiscore.md) - Score data. - AI.SEARCH: [aisearch.md](references/aisearch.md) - Semantic search. - AI.SIMILARITY: [aisimilarity.md](references/aisimilarity.md) - Semantic similarity. - Remote Models: [remotemodels.md](references/remotemodels.md) - Working with remote models (Vertex AI). - CONTRIBUTIONANALYSIS: [mlcontributionanalysis.md](references/mlcontributionanalysis.md) - Finds contributing factors, key drivers of change. Requires creating a MODEL entity. - VECTORSEARCH: [vectorsearch.md](references/vectorsearch.md) - Vector search best practices.