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 endpoin

Install

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

Similar tools

• ci-cd-and-automation 117,009 ★
  Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you
• shipping-and-launch 117,009 ★
  Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in p
• -21risk-automation 79,395 ★
  Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
• publish 70,891 ★
  Publish oh-my-opencode to npm by triggering the GitHub Actions publish workflow and verifying its artifacts. S
• modal 57,038 ★
  Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deployin