소개
The Gemma Domain Trainer is a specialized skill designed to orchestrate the creation of domain-specific AI experts within the Claude Code environment. By utilizing LoRA (Low-Rank Adaptation), it fine-tunes the compact Gemma 270M model on instruction-tuning datasets extracted from project knowledge bases. This skill manages the entire lifecycle of model improvement—from data formatting and hyperparameter tuning to validation and deployment configuration—allowing developers to swap 'model wardrobes' for different tasks like autonomous cleanup, project scoring, or issue triage without the overhead of reloading base models.
