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sagemaker-endpoint-deployer

4.0

by jeremylongshore

62Favorites
92Upvotes
0Downvotes

Sagemaker Endpoint Deployer - Auto-activating skill for ML Deployment. Triggers on: sagemaker endpoint deployer, sagemaker endpoint deployer Part of the ML Deployment skill category.

sagemaker

4.0

Rating

0

Installs

Machine Learning

Category

Quick Review

The skill has a clear structure but severely lacks substance. The description is circular and vague ('sagemaker endpoint deployer' repeated without explaining what it does), making it unclear what specific capabilities the skill provides beyond generic statements. No concrete task knowledge, steps, or implementation details are provided - just abstract promises of 'step-by-step guidance' and 'production-ready code' without any actual content. The novelty score reflects that SageMaker endpoint deployment is legitimately complex and could benefit from automation, but this implementation provides no evidence of delivering that value. The skill reads more like a template that was never filled in with actual SageMaker deployment logic, IAM roles, endpoint configurations, model artifacts handling, or monitoring setup.

LLM Signals

Description coverage2
Task knowledge1
Structure5
Novelty4

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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