fine-tuning-expert

Quick Review

Excellent skill with clear description, comprehensive coverage, and well-organized structure. The SKILL.md provides a strong overview with a reference table pointing to detailed guides for specific topics (LoRA/PEFT, dataset prep, hyperparameters, evaluation, deployment). The role definition, workflow, constraints, and output templates give a CLI agent clear guidance on when and how to invoke this skill. Task knowledge is thorough, covering the full fine-tuning pipeline from dataset preparation through deployment. The reference architecture keeps SKILL.md concise while ensuring depth is available. Novelty score is moderate-to-good: while fine-tuning is a well-known domain, the complexity of PEFT methods, hyperparameter optimization, and production deployment considerations would require significant tokens and expertise for a CLI agent to handle independently. The skill meaningfully reduces cost by consolidating expert knowledge, best practices, and avoiding common pitfalls (overfitting, memory constraints, data leakage). Minor improvement areas: could add more specific invocation examples or decision trees, but overall this is a high-quality, production-ready skill.