Malloy is a modern open source language for describing data relationships and transformations.

JavaScript library to transform coordinates from one coordinate system to another, including datum transformations

Python interface to PROJ (cartographic projections and coordinate transformations library)

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Retrieve official Federal Reserve economic series for GDP, inflation, rates, employment, money supply, and volatility research.

A Claude Code plugin that provides outline-driven development with diagram-first engineering, surgical code editing, and atomic commits.

Agent-native analytics engineering toolkit for data transformation and schema drift detection, installable as a skill for Claude Code and other AI agents.

Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

Programmatically edit text files with Python. Useful for source to source transformations.

Convert born-digital, scanned, or mixed PDFs into auditable Markdown while preserving reading order, equations, source-page anchors, and information-bearing images as adjacent non-original text descriptions. Use this skill whenever a user asks to transcribe, OCR, understand, or convert a PDF into Markdown, especially for scanned PDFs, image-heavy pages, formulas, multi-column layouts, page or section ranges, or token-efficient reuse. LT2MD (Long Transcribe to Markdown) is a workflow contract, not a replacement for a PDF parser or OCR/VLM backend.

Use this skill for AngularJS unit testing, maintenance, and migration tasks