Individual skill

finetuning

Generates code that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, RLVR, and RLAIF trainers, including RLVR Lambda reward function and RLAIF custom prompt creation.

plugins/sagemaker-ai/skills/finetuning/SKILL.md

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937
Repository last updated
Nov 5, 2026
License
Apache-2.0

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# Prerequisites

Before starting this workflow, verify:

1. A `use_case_spec.md` file exists
   - If missing: Activate the `use-case-specification` skill first, then resume
   - DON'T EVER offer to create a use case spec without activating the use-case-specification skill.

2. A fine-tuning technique (SFT, DPO, RLVR, RLAIF, or CPT/RFT (for Nova)) and base model have already been selected
   - If missing: Activate the `model-selection` and/or `finetuning-technique` skills to collect what's missing, then resume
   - Don't make recommendations on the spot. You MUST activate the appropriate skill.

3. A base model name available on SageMakerHub has been identified
   - If missing: Activate the `model-selection` skill to get it