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finetuning-technique

Skill

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

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Install

git clone https://github.com/awslabs/agent-plugins.git ~/.claude/skills/finetuning-technique

What is finetuning-technique?

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).

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~89 tokens of context used while enabled, before you invoke anything

Documentation

README · ~1 min read

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 use_case_spec.md file exists. If not, activate the use-case-specification skill to generate it first.

Workflow

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