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reggiechan74
reggiechan74COMMUNITY
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deployment

Configure Claude Code deployments on AWS Bedrock and Google Vertex AI.

5|1|Updated Oct 30, 2025
Search Tags:#deployment#aws#gcp#enterprise#iam#cloud deployment#google vertex ai#aws bedrock
One-click install
npx skills add https://github.com/reggiechan74/claude-plugins --skill deployment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deployment
Source: https://github.com/reggiechan74/claude-plugins/tree/main/plugins/claude-code-metaskill/skills/deployment
Command: npx skills add https://github.com/reggiechan74/claude-plugins --skill deployment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enterprises require flexible deployment options for AI tools, often leveraging existing cloud infrastructure and compliance frameworks. This Skill guides users through deploying Claude Code with major cloud providers, ensuring secure and scalable integration.

Core Features & Use Cases

  • Amazon Bedrock Integration: Deploy Claude models via AWS infrastructure, configuring IAM permissions and credentials for seamless AWS integration.
  • Google Vertex AI Integration: Utilize GCP for Claude model access, including project setup, API enablement, and IAM roles for robust security.
  • Enterprise Best Practices: Guidance on OIDC, quota monitoring, IAM roles, and cost controls for efficient and compliant operations.
  • Use Case: Configure Claude Code to use Claude Sonnet 4.5 through your AWS Bedrock account, ensuring all AI interactions adhere to your organization's AWS security and billing policies, simplifying compliance.

Quick Start

Explain the steps to set up Claude Code with Amazon Bedrock.

Frequently Asked Questions about deployment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy Claude models to AWS Bedrock?▼

Deploy Claude models to AWS Bedrock by configuring IAM permissions, setting up credentials, and specifying your Bedrock region in Claude Code. The Skill guides you through credential setup, model selection, and IAM policy generation to integrate Claude with your AWS infrastructure.

Can I use Claude with Google Vertex AI instead of AWS?▼

Yes, Claude Code supports Google Vertex AI deployment. Configure GCP project setup, enable required APIs, assign appropriate IAM roles, and provide authentication credentials. This lets you access Claude models through Google Cloud infrastructure.

What IAM permissions do I need for enterprise Claude deployments?▼

Enterprise deployments require specific IAM roles and policies for your cloud provider—AWS Bedrock or Google Vertex AI. The Skill generates provider-specific IAM policies, handles OIDC configuration, and ensures your organization's security and compliance requirements are met.

How do I configure environment variables and credentials for cloud deployment?▼

Set environment variables for your cloud provider credentials, model specification, token limits, and region configuration. The Skill automates credential refresh and supports advanced features like prompt caching through provider APIs.

What's the difference between deploying Claude on AWS Bedrock versus Google Vertex AI?▼

Both providers offer Claude model access with different infrastructure, IAM frameworks, and regional availability. AWS Bedrock integrates with Amazon's security ecosystem; Google Vertex AI leverages GCP's ML platform. Choose based on your existing cloud provider and compliance requirements.

Do I need existing cloud infrastructure to deploy Claude Code?▼

You need an active AWS account with Bedrock access or a GCP project with Vertex AI enabled. The Skill handles configuration of credentials, permissions, and model access once your cloud environment is set up.

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