dataset curator

SKILL.md

The Dataset Curator skill guides you through the critical process of preparing high-quality training data for machine learning models. Data quality is the single most important factor in model performance, yet it is often underinvested. This skill helps you systematically clean, validate, augment, and maintain datasets that lead to better models.

From initial collection to ongoing maintenance, this skill covers deduplication, label quality assessment, bias detection, augmentation strategies, and version control. It applies best practices from production ML systems to ensure your datasets are not just clean, but strategically optimized for your learning objectives.

Whether you are building a classifier, fine-tuning an LLM, or training a custom model, this skill ensures your data foundation is solid.

整理和清理訓練數據集以實現高質量的機器學習 來源：eddiebe147/claude-settings。

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