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sagemaker-endpoint-deployer

3.4

by jeremylongshore

71Favorites
104Upvotes
0Downvotes

Deploy sagemaker endpoint deployer operations. Auto-activating skill for ML Deployment. Triggers on: sagemaker endpoint deployer, sagemaker endpoint deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "sagemaker endpoint deployer", "sagemaker deployer", "deploy sagemaker endpoint er".

sagemaker

3.4

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill is essentially a template with placeholder content that has not been customized for actual SageMaker endpoint deployment. The description is vague and repetitive, providing no specific information about what deployment operations are supported. Task knowledge is almost entirely absent—there are no concrete steps, code examples, API calls, or SageMaker-specific guidance. While the document structure is reasonable for a skill template, the content lacks any actionable details about endpoint configurations, model artifacts, instance types, scaling policies, or deployment workflows. The skill does not demonstrate novelty because it provides no actual capability beyond what a CLI agent could attempt with general SageMaker knowledge. To be useful, this would need specific deployment scripts, configuration templates, validation logic, and detailed procedures for SageMaker endpoint lifecycle management.

LLM Signals

Description coverage2
Task knowledge1
Structure4
Novelty2

GitHub Signals

1,063
137
8
0
Last commit 2 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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