from agent-plugins542
Generates deployment code and a Jupyter notebook to deploy LoRA fine-tuned Nova or OSS models (from SageMaker Serverless Model Customization) to SageMaker endpo
This skill determines the correct deployment pathway for models fine-tuned via SageMaker Serverless Model Customization and generates the deployment artifacts (including a Jupyter notebook and sample invoke code). It inspects training job metadata, extracts model IDs and tags, identifies whether the model is Nova or OSS, and guides the user through choosing a target (SageMaker endpoint vs Bedrock). The skill validates model eligibility, displays license terms, runs pathway-specific steps, and produces a post-deployment summary with usage examples and cleanup instructions.
Use this skill when a user asks to "deploy my model", "create an endpoint", or wants guidance on making a fine-tuned model available in production. It's specifically for LoRA-fine-tuned models created with SageMaker Serverless Model Customization (not full-fine-tuned models or base models).
Designed for coding/ops-capable agents that can call AWS tools and run scripts (e.g., agents with CLI/tool integrations like Copilot/Code agents).
This skill has not been reviewed by our automated audit pipeline yet.
