Does Claude Code support regional endpoints on Google Cloud?

Yes, you can specify regional endpoints by setting the CLOUD_ML_REGION environment variable to your preferred GCP region.

Is prompt caching available when using Vertex AI?

Yes, prompt caching is automatically supported via cache_control flags when Claude Code is configured to use Google Vertex AI.

How do I handle authentication in automated CI/CD pipelines?

The skill provides templates for using 'aws-actions/configure-aws-credentials' for GitHub and 'gcloud auth activate-service-account' for GitLab to manage secure, non-interactive authentication.

What IAM permissions are required for AWS Bedrock integration?

You need a policy that allows bedrock:InvokeModel, bedrock:InvokeModelWithResponseStream, and bedrock:ListInferenceProfiles.

Can I use Claude Code without a direct Anthropic API key?

Yes, by configuring this skill for Amazon Bedrock or Google Vertex AI, you can authenticate using your existing AWS or GCP credentials and billing.

Claude Code Deployment

Name: Claude Code Deployment
Author: reggiechan74

byreggiechan74

Deployment & DevOps

Streamlines the integration of Claude Code with enterprise cloud providers like Amazon Bedrock and Google Vertex AI.

About

The Claude Code Deployment skill provides essential patterns and guidance for running Claude Code through enterprise infrastructure rather than direct API calls. It covers complex configuration tasks including IAM permission setup, environment variable management for AWS and GCP, and regional model selection. Whether you are seeking to consolidate billing within AWS Bedrock or leverage Google Vertex AI's regional endpoints and prompt caching, this skill ensures your AI coding environment is secure, compliant, and optimized for enterprise-scale workloads.

Key Features

Step-by-step Amazon Bedrock integration with IAM policy templates
0 GitHub stars
Comprehensive Google Vertex AI setup including gcloud authentication patterns
Environment variable configurations for seamless switching between cloud providers
CI/CD integration blueprints for GitHub Actions and GitLab CI
Enterprise-grade credential management using OIDC and Workload Identity

Use Cases

Automating Claude-driven development tasks within enterprise CI/CD pipelines
Deploying Claude Code within highly regulated AWS environments requiring IAM-based access
Utilizing Google Cloud's regional endpoints for data residency compliance

About

Key Features

Step-by-step Amazon Bedrock integration with IAM policy templates
0 GitHub stars
Comprehensive Google Vertex AI setup including gcloud authentication patterns
Environment variable configurations for seamless switching between cloud providers
CI/CD integration blueprints for GitHub Actions and GitLab CI
Enterprise-grade credential management using OIDC and Workload Identity

Use Cases

Automating Claude-driven development tasks within enterprise CI/CD pipelines
Deploying Claude Code within highly regulated AWS environments requiring IAM-based access
Utilizing Google Cloud's regional endpoints for data residency compliance