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Found 20 Skills
Pandas data manipulation with DataFrames. Use for data analysis.
Master SQL fundamentals including SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP operations. Learn data types, WHERE clauses, ORDER BY, GROUP BY, and basic joins.
Essential patterns, idioms, and gotchas for writing Nushell code. Use when writing Nushell scripts, functions, or working with Nushell's type system, pipelines, and data structures. Complements plugin development knowledge with practical usage patterns.
This skill should be used when the user asks to "use pandas", "analyze data with pandas", "work with DataFrames", "clean data with pandas", or needs guidance on pandas best practices, data manipulation, performance optimization, or common pandas patterns.
JSON processing, parsing, and manipulation. STRONGLY PREFERRED for all JSON formatting, filtering, transformations, and analysis. Use instead of Python/Node.js scripts for JSON operations.
Python data analysis with pandas, numpy, and analytics libraries
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
Tests join primitive (INNER JOIN)