aibangjuxin/knowledge/bigquery-ai-ml
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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 ch…
Install
npx vskill@latest install aibangjuxin/knowledge/bigquery-ai-mlSKILL.md
The same SKILL.md was published earlier as google/skills/bigquery-ai-ml.
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.
Reference Directory
- Functions Reference:
- AI.AGG: ai_agg.md - Multi-row semantic
aggregation and summarization.
- AI.CAUSAL_EFFECT:
ai_causal_effect.md - Quantifies the impact of an intervention on a time series.
- AI.CLASSIFY: ai_classify.md - Classify
text.
- AI.DETECT_ANOMALIES:
ai_detect_anomalies.md - Detect anomalies.
- AI.EVALUATE: ai_evaluate.md - Evaluate
models.
- AI.FORECAST: ai_forecast.md -
Time-series forecasting.
- AI.GENERATE: ai_generate.md - Generate
text using LLMs.
- AI.GENERATE_EMBEDDING:
ai_generate_embedding.md - Generate embeddings.
- AI.GENERATE_TABLE:
ai_generate_table.md - Table-valued AI generation.
- AI.IF: ai_if.md - Evaluate semantic
conditions.
- AI.KEY_DRIVERS: ai_key_drivers.md -
Identifies key drivers, this is a TVF.
- AI.SCORE: ai_score.md - Score data.
- AI.SEARCH: ai_search.md - Semantic
search.
- AI.SIMILARITY: ai_similarity.md -
Semantic similarity.
- Remote Models: remote_models.md -
Working with remote models (Vertex AI).
- CONTRIBUTION_ANALYSIS:
- Finds contributing factors, key drivers of change. Requires creating
a MODEL entity.
- ML.CORRELATION: ml_correlation.md -
Calculates correlation between columns, optionally sliced by dimensions.
- ML.DETECT_CHANGE_POINTS:
ml_detect_change_points.md - Detects structural breaks or sustained shifts in a time series.
- ML.SEASONALITY: ml_seasonality.md -
Extracts seasonal components from a time series.
- ML.TREND: ml_trend.md - Extracts the
long-term trend component from a time series.
- VECTOR_SEARCH: vector_search.md -
Vector search best practices.
Related Skills
- BigQuery Basics Skill: SKILL.md file for core BigQuery
concepts, resource management, CLI, and client libraries.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/.codebuddy/skills/bigquery-ai-ml/SKILL.md
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