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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

SKILL.md metadata excerpt. This is the source’s description, not an instruction to this site.

huggingface/skillsskills/hf-cloud-sagemaker-production-defaults/SKILL.md

Before you use it

Input
Not independently summarized. Check the source’s scope and examples.
Expected output
Not independently summarized; do not assume a ready-to-use artifact.
Prerequisites
Review the source instructions, scripts, accounts and tools in your intended environment.

Setup evidence needs rechecking under the 30-day directory review window. Source navigation remains available.

Publisher documentation, static file observations and environment tests are different kinds of evidence. Runtime behavior has not been observed.

Study the method

Start with the task scope and instructions, then inspect supporting files and examples. Compare the workflow with your own inputs, constraints and intended result.

8 files in the observed scope; 6 in scripts/, 1 in references/, 0 in assets/.

This is a sample of observed paths, not the full directory. Zero files in scripts/ does not mean no execution, network access or file writes. Markdown and other folders may describe or contain executable behavior.

Source version and requirements

Observed
2026-09-08T11:53:42.181Z
Source commit
97862b0fcc89c850fdd00c82ede1e62d3c930a6d
Content SHA-256
25423961aac5c2d5cb379201e272b4bad1c77119acd33844d168bceaf4c2c61f
License
Apache-2.0
Author attribution
Repository owner: huggingface. Individual authorship is not independently established.
Read applicable source license ↗

This page describes a pinned source snapshot, not the latest repository state. Changes after this commit have not been reconciled here. A repository license does not necessarily cover external models, datasets or services.

Open current repository ↗
Reference note and manual copy