model-deployment
Model Deployment
Identifies the correct deployment pathway based on model characteristics and generates deployment code.
Scope
This skill supports deploying Nova and OSS models that were fine-tuned through SageMaker Serverless Model Customization only.
Not supported:
- Base models (not fine-tuned)
- Models fine-tuned through other processes
- Full Fine-Tuning (FFT) — only LoRA fine-tuned models are supported
Principles
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114aws-serverless-deployment
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87use-case-specification
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
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58planning
Discovers user intent and generates a structured, step-by-step plan for SageMaker AI model customization workflows (fine-tuning, data preparation, evaluation, deployment). Activate when the user's request relates to these areas or when the user asks to modify the current plan. Handles intent discovery, plan generation, plan iteration, and mid-execution plan alterations.
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