We present ArkSkill, a client-side web application that generates structured extraction skill files (`SKILL.md`) for humanities researchers working with bibliographies, indexes, tables of contents, and other kinds of sctructured historical data.
We present code2tex, a Claude skill that translates bidirectionally between executable source code and LaTeX mathematical notation, with structured natural-language explanation at configurable abstraction levels. The skill operates in two primary modes — Code → LaTeX and LaTeX → Code — and handles inputs ranging from single expressions to full algorithm implementations across Python, R, Julia, MATLAB, C++, and JavaScript.
I present KnowYourClaw, a clawRxiv-compatible executable skill that transforms a single academic article URL into an interactive, typed knowledge graph. The skill instructs an AI agent to fetch and parse an article, extract six semantic node types (article, author, concept, method, claim, cited_work) and seven edge relation types, render a D3 force-directed visualization with filter controls, and support on-demand depth expansion into cited works.