概要
Abductive-REPL is a specialized Claude Code skill designed for complex problem-solving using abductive inference—the process of forming hypotheses to explain observed outcomes. By integrating Julia, Hy, and Babashka, it allows developers to navigate high-dimensional spaces and 'topological chemputers' through iterative hypothesis-test loops. It is particularly useful for debugging complex system states, color-space mapping, and relational analysis where traditional deductive methods fall short, providing a robust framework for evidence-based discovery.
