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Feature Engineering Toolkit

engineering-features-for-machine-learning

jeremylongshore/claude-code-plugins-plus-skills

Feature Engineering Toolkit automates creating, selecting, and transforming dataset features to improve machine learning models; use it whenever you need new interactions, automatic selection, scaling, or encoding to boost accuracy and interpretability.

Long Context Extensions

Orchestra-Research/AI-Research-SKILLs

Extends transformer models’ context windows using RoPE, YaRN, ALiBi, and interpolation so LLMs can process documents of 32k–128k+ tokens, extrapolate to longer lengths, and deploy efficient positional encodings and bias strategies for fine-tuning or inference.

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