# model-selection

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

Selects a base model for the user's use case by querying SageMaker Hub. Use when the user asks which model to use, wants to select or change their base model, mentions a model name or family (e.g., "Llama", "Mistral", "Nova"), or wants to evaluate a base model — always activate even for known model names because the exact Hub model ID must be resolved. Queries available models, presents benchmarks and licenses, and confirms selection.

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/model-selection ~/.claude/skills/model-selection
```

## From README

Model Selection Guides the user through selecting a base model based on their use case. When to Use User asks which model to use User wants to select or change their base model User mentions a model name or family (e.g., "Llama", "Mistral", "Nova") — the exact Hub model ID still needs to be resolved User wants to evaluate a base model before deciding whether to finetune Prerequisites A usecasespec.md file exists. If not, activate the use-case-specification skill to generate it first. Workflow Step 1: Check Region Run: None → STOP. Tell user: "Set your region via export AWSDEFAULTREGION=us-west-2 or aws configure." Set → store REGION in context, continue. Step 2: Discover Hub List all available SageMaker Hubs in the user's region by calling the SageMaker ListHubs API using the awscallaws tool. From the results, filter out any hub whose HubDescription contains "AI Registry" — these do not contain JumpStart models.

## Links

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

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