fine-tuning-expert

by Jeffallan 11k MIT Updated Aug 7, 2026
fine-tuning-expert skill by Jeffallan
Social preview for Jeffallan/claude-skills

fine-tuning-expert is an open-source data skill for Claude Code and compatible agents, published by Jeffallan. Its author describes it as: “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-tuni…”. The project has 11k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Jeffallan/claude-skills`.

What fine-tuning-expert does

Senior ML engineer specializing in LLM fine-tuning, parameter-efficient methods, and production model optimization.

Installation

Add fine-tuning-expert to your agent with:

/plugin marketplace add Jeffallan/claude-skills

Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.

What's inside

The SKILL.md for fine-tuning-expert is organised into these sections:

  • Core Workflow
  • Reference Guide
  • Minimal Working Example — LoRA Fine-Tuning with Hugging Face PEFT
  • Constraints
  • MUST DO
  • MUST NOT DO
  • Output Templates

When to use it

Reach for fine-tuning-expert when you want data help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.

Strengths

  • Clear MIT license — safe to read and adapt
  • Ships in Jeffallan/claude-skills, an established project with 11,060 GitHub stars
  • Actively maintained (recent commits)

Topics

ai-agentsclaudeclaude-codeclaude-marketplaceclaude-skills

Frequently asked questions

What does fine-tuning-expert do?
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.
How do I install fine-tuning-expert?
Run /plugin marketplace add Jeffallan/claude-skills in your agent, then reload your skills. Review the source at https://github.com/Jeffallan/claude-skills before installing.
Is fine-tuning-expert free to use?
Yes. fine-tuning-expert is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
Where does fine-tuning-expert come from?
fine-tuning-expert ships inside Jeffallan/claude-skills, a repository that contains 41 catalogued skills in total. The repository's 11,060 GitHub stars apply to that whole collection, not to this skill on its own.

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