hf-cloud-sagemaker-production-defaults

Installation
SKILL.md

SageMaker Production Defaults

The difference between a demo endpoint and one you can leave running is: it scales with traffic, it tells you when it breaks, and you can debug it later. This skill makes those three the default rather than optional extras.

By the time this skill runs, the planner has chosen a real-time endpoint, IAM has a usable role, and image-selection has resolved a container URI + AMI version. This skill turns those into an actual deployment.

What gets created

For every endpoint, the skill creates these as a unit:

  1. SageMaker Model — image + env vars + execution role + S3 artifacts
  2. Endpoint config — instance type, initial count, optional data capture
  3. Endpoint — the real-time endpoint serving inference
  4. Autoscaling target + policy — target tracking on invocations per instance
  5. CloudWatch alarms — latency, errors, platform overhead

Data capture (logging requests/responses to S3) is off by default — useful for debugging but creates ongoing S3 costs the user didn't necessarily ask for. Enable with --enable-data-capture.

All resources get a consistent tag set including CreatedBy=agentic-deploy-skills for later cleanup.

Installs
145
GitHub Stars
10.9K
First Seen
Jul 8, 2026
hf-cloud-sagemaker-production-defaults — huggingface/skills