# 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 createendpoint, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deployic.py for real-time endpoints that scale to zero instances via inference components, and deployasync.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare createendpoint call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.

## Facts
- Page: https://tashan.sh/capability/skill-huggingface-hf-cloud-sagemaker-production-defaults
- tashan id: skill:huggingface/hf-cloud-sagemaker-production-defaults
- Source: https://github.com/huggingface/skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 96.0
- Freshness: 92.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r hf-cloud-sagemaker-production-defaults ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-22 by tashan (https://tashan.sh) from public evidence. Scorer s5.