mcpField
A
aws-sagemaker

aws-sagemaker

github.com/alphaonedevCloud & DevOps43 installs
Repository

About aws-sagemaker

aws-sagemaker is a skill for AWS architecture guidance around SageMaker-related provisioning and operations. It covers service choices, cost modeling, IAM prerequisites, and infrastructure-as-code approaches, while execution is delegated to the official AWS agent plugin.

Key features

  1. 01AWS service selection and trade-off guidance
  2. 02Cost estimation and optimization strategy
  3. 03Pre-flight IAM requirements
  4. 04CDK, CloudFormation, and Terraform guidance
  5. 05Execution delegation to AWS agent plugin

Use cases

  1. 01Comparing AWS architecture options
  2. 02Estimating costs before deployment
  3. 03Preparing IAM and IaC requirements for provisioning

MCP support

The README references AWS MCP Servers but does not specify their capabilities or how this skill uses them.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alphaonedev/openclaw-graph --skill aws-sagemaker

After installing, type/aws-sagemakerin Claude Code to confirm it loaded.

Details

From the project README

aws-sagemaker

AWS Agent Plugin Integration

This skill delegates all AWS provisioning and operations to the official AWS agent plugin.

/plugin marketplace add awslabs/agent-plugins
/plugin install deploy-on-aws@agent-plugins-for-aws

Use the deploy-on-aws plugin for all AWS provisioning actions.

This skill covers: architecture decisions, cost modeling, IaC patterns, and pre-flight requirements — the plugin handles execution.

Architecture Guidance

Consult this skill for:

  • Service selection and trade-off analysis
  • Cost estimation and optimization strategy
  • Pre-flight IAM permission requirements
  • IaC approach (CDK vs CloudFormation vs Terraform)
  • Integration patterns with other AWS services

Reference

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