hf-cloud-sagemaker-production-defaults
hf-cloud-sagemaker-production-defaults is an agent skill published by huggingface, listed under deploy & operate. It lives in the huggingface/skills repository, which has 11,213 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Creates a SageMaker endpoint with autoscaling, CloudWatch alarms, and tagging enabled by default. Connects to AWS SageMaker. Requires AWS credentials.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads huggingface/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add huggingface/skills
Maintenance
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.
hf-cloud-sagemaker-production-defaults compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| hf-cloud-sagemaker-production-defaults (this page) | huggingface | Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarm… | 11,213 | 2026-10-23 |
| hf-cli(same repository) | huggingface | Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos… | 11,213 | 2026-10-23 |
| internal-comms | anthropic | A set of resources to help me write all kinds of internal communications, using the formats that my company l… | 183,845 | 2026-10-09 |
| xlsx | anthropic | Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user… | 183,845 | 2026-10-09 |
| ci-cd-and-automation | addyosmani | Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you… | 110,611 | 2026-10-13 |
| observability-and-instrumentation | addyosmani | Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing… | 110,611 | 2026-10-13 |
| agent-platform-endpoint-management | Manages Agent Platform serving endpoints. Use when you need to create, list, describe, update, or delete serv… | 21,580 | 2026-10-25 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about hf-cloud-sagemaker-production-defaults
- What does hf-cloud-sagemaker-production-defaults do?
- Creates a SageMaker endpoint with autoscaling, CloudWatch alarms, and tagging enabled by default. Connects to AWS SageMaker. Requires AWS credentials.
- How do I install hf-cloud-sagemaker-production-defaults?
- Run npx skills add huggingface/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes hf-cloud-sagemaker-production-defaults?
- huggingface.
- Is hf-cloud-sagemaker-production-defaults maintained, and what licence does it use?
- Its repository has 11,213 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-23. The repository declares the Apache-2.0 licence.
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