A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and produces source-backed visual reports for high-stakes decisions.

The most loved library for Bar, Line, Area, Pie, Donut, Stacked Bar, Population Pyramid, Radar, Bubble and Scatter charts in React Native. Allows 2D, 3D, gradient, animations and live data updates.

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals.

Building a population of models that trade crypto and mutate iteratively

An annotated library of real AI writing failure patterns with full dissection. Use to teach a writer what AI slop actually looks like, diagnose why a specific passage reads as machine-written, or explain the mechanism behind a pattern.