bq-design-table
Design a BigQuery table schema with optimal partitioning, clustering, and data types. Describe your data or paste a sample.
Review BigQuery SQL for performance anti-patterns. Pass a file path or paste SQL directly.
> /plugin marketplace add justvinhhere/bigquery-expert > /plugin install bigquery-expert@justvinhhere-bigquery-expert
How it fires
How this command gets triggered: by you, by Claude, or both.
/bq-reviewContext preview
What this command does when you run it.
Review BigQuery SQL for performance anti-patterns. Pass a file path or paste SQL directly.
description: Review BigQuery SQL for performance anti-patterns. Pass a file path or paste SQL directly. argument-hint: "[file_path]"
Review the provided BigQuery SQL against all 11 known anti-patterns using the `bigquery-optimization` skill.
1. **Determine the SQL to review:**
2. **Run the full anti-pattern check** against all 11 patterns:
StringComparison, LatestRecordWithAnalyticFun, DynamicPredicate, WhereOrder, JoinOrder, MissingDropStatement, ConvertTableToTemp.
3. **Output findings** using the standard review format from the bigquery-optimization skill:
4. If no anti-patterns are found, confirm: "No anti-patterns detected. This query follows BigQuery best practices."
A comprehensive BigQuery plugin for Claude Code. Five integrated skill areas that activate automatically -- writing queries, designing schemas, optimizing costs, detecting anti-patterns, and navigating BigQuery-specific features.
Repo: justvinhhere/bigquery-expert
Design a BigQuery table schema with optimal partitioning, clustering, and data types. Describe your data or paste a sample.
Estimate the cost of a BigQuery query or table. Pass a query, file path, or table description.
Explain a BigQuery feature, function, or concept with working examples. Pass the feature name or question.
Generate optimized BigQuery SQL from a natural language description. Pass a description of the data you need.
Optimize BigQuery SQL by fixing all detected anti-patterns. Pass a file path or paste SQL directly.