# finetuning-technique

> Claude/Codex skill by [@awslabs](https://omgskills.com/library/awslabs/index.md) · 927 stars · Updated 2026-10-15

Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when the user has decided to finetune and needs to choose a technique, or when the technique needs to be validated against a model. Requires a base model to already be selected (via model-selection skill).

Tags: agent-plugins, agent-skills, agents, aws, coding-agent-skills, coding-agents

## Install

```sh
git clone https://github.com/awslabs/agent-plugins /tmp/agent-plugins && ln -s /tmp/agent-plugins/plugins/sagemaker-ai/skills/finetuning-technique ~/.claude/skills/finetuning-technique
```

## From README

Finetuning Technique Guides the user through selecting a fine-tuning technique based on their use case and validates compatibility with the selected model. When to Use User has decided to finetune and needs to choose a technique User wants to change their finetuning technique Technique needs to be validated against a selected model Prerequisites A base model has been selected (via model-selection skill). The model name and hub must be known. A usecasespec.md file exists. If not, activate the use-case-specification skill to generate it first. Workflow Step 1: Determine Finetuning Technique Consult references/finetunetechniqueselectionguide.md to recommend the best-fit technique based on the use case and the user's needs (SFT, DPO, RLVR, RLAIF). Present the recommendation and reasoning to the user. Ask if they'd like to go with the recommendation or prefer a different technique.

## Links

- HTML page: https://omgskills.com/library/awslabs/agent-plugins/plugins/sagemaker-ai/skills/finetuning-technique/
- GitHub: https://github.com/awslabs/agent-plugins
- Author: [@awslabs](https://omgskills.com/library/awslabs/index.md)

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