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name: fine-tuning-expert description: Use when Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks.

Fine Tuning Expert

Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model. — One of 66 full-stack developer skills in Jeff Allan's claude-skills plugin (MIT, 9.4k stars).

What you get

• Public GitHub repo (Jeffallan/claude-skills)
• the skills/fine-tuning-expert folder with SKILL.md and references. Install via /plugin install fullstack-dev-skills@jeffallan.

Customize your output

• Fork the repo and extend the skill's reference files for your own stack conventions.

Example output

Activates on a matching request (e.g. building or reviewing Fine Tuning Expert code) and can chain with other skills in the pack.

Best for

Full-stack developers and engineering teams using Claude Code.