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Found 20 Skills
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.
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.
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.
Process Excel files with data manipulation, formula generation, and chart creation. Use when working with spreadsheets or Excel data.
Python data analysis with pandas, numpy, and analytics libraries
Command-line JSON processor. Extract, filter, transform JSON.
Tests join primitive (INNER JOIN)
SQL patterns for database querying and design