subquery-patterns-and-union

Use OPAL subquery syntax (@labels) and union operations to combine multiple datasets or time periods. Essential for period-over-period comparisons, multi-dataset analysis, and complex data transformations. Covers @label <- @ syntax, timeshift for temporal shifts, union for combining results, and any_not_null() for collapsing grouped data.

subqueryuniontime-seriesdata-transformation

rustomax

11

python-polars

This skill should be used when the user asks to "work with polars", "create a dataframe", "use lazy evaluation", "migrate from pandas", "optimize data pipelines", "read parquet files", "group by operations", or needs guidance on Polars DataFrame operations, expression API, performance optimization, or data transformation workflows.

dataframelazy-evaluationperformance-optimizationdata-transformation

tbhb

1

postgresql-json

Work with JSONB data - queries, indexing, transformations

postgresqljsonbindexingqueries

pluginagentmarketplace

1