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pleasefixai/huggingface-skills

v1.0.1Apache-2.0

Models, datasets, Spaces and papers on the Hugging Face Hub.

hf-cloud-sagemaker-production-defaults

Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls create_endpoint, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare create_endpoint call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.

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