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Pandas Pro Workflow

Jeffallan/claude-skills

Expert pandas helper for efficient DataFrame analysis, cleaning, merging, grouping, resampling, and pivoting with vectorized operations, dtype tuning, memory checks, and validation.

Apache Spark Optimization

spark-optimization

sickn33/antigravity-awesome-skills

Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.

Distributed Dask Workflows

K-Dense-AI/claude-scientific-skills

Dask enables larger-than-memory pandas/NumPy workflows through parallel, distributed execution across dataframes, arrays, bags, and futures, making it ideal for scaling ETL, analytics, or custom computations across cores or clusters.

Compute Resource Monitor

get-available-resources

K-Dense-AI/claude-scientific-skills

Assesses available CPU, GPU, memory, and disk before computationally intensive scientific work, emitting a JSON summary with strategic recommendations on parallelism, memory handling, and GPU backends so you can choose the optimal compute pattern.

Vaex Big Data

K-Dense-AI/claude-scientific-skills

Vaex processes massive tabular datasets (billions of rows) with lazy, out-of-core DataFrames, fast aggregations, visualization, and ML pipelines without fitting data into memory, ideal for CSV/Arrow/Parquet workflows.

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