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hf-cloud-sagemaker-production-defaults

huggingface/skillsSkill

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

ScannedSkillSource: Gemini CLI extensions galleryContains scripts
11,187 stars +30 this week Updated 27d ago License Apache-2.0 Context ≈160 tokens always loaded
79popular

Why this score

Stars21/35
Usage (forks)8/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 11,187 stars are split between them (about 1,119 each) for scoring.

Popularity score: 79/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit c3ff942be3e0, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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