SKILL.md packages that extend Claude Code, Cursor, Copilot, and other AI agents.
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dataframely
Guidelines and best practices for defining typed Polars schemas and collections, validating data frames, and writing tests using Dataframely.

memorybench
Run a reproducible univariate time-series forecasting pipeline using StatsForecast models and Polars, producing constrained ensemble forecasts, robust metrics,

awesome-omni-skill
High-performance genomic data processing using polars-bio and Polars: streaming VCF/FASTA/ BED handling, interval joins, variant annotation, and Parquet convers