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The Article-to-Prototype Skill is an advanced autonomous agent designed to bridge the gap between theoretical research and executable software. By analyzing diverse input formats—including PDFs, Jupyter notebooks, and technical blogs—it identifies core algorithms and architectural patterns to generate high-quality, documented code. The skill intelligently selects the optimal programming language (Python, Rust, Go, or TypeScript) based on the domain requirements, enabling researchers and developers to accelerate their prototyping phase from days to minutes while maintaining strict traceability back to the original source material.