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@claudeautopm/plugin-cloud

v3.0.0

Published

Complete cloud infrastructure plugin with agents for AWS, Azure, GCP, Kubernetes, Terraform, and infrastructure automation for ClaudeAutoPM

Downloads

12

Readme

@claudeautopm/plugin-cloud

Complete Cloud Infrastructure Plugin for ClaudeAutoPM Framework

npm version License: MIT

📋 Overview

@claudeautopm/plugin-cloud provides comprehensive cloud infrastructure capabilities for the ClaudeAutoPM framework. This plugin includes agents for AWS, Azure, GCP, Kubernetes orchestration, Terraform infrastructure as code, AI API integrations, cloud deployment commands, infrastructure rules, and example scripts.

Package Information

  • Package Name: @claudeautopm/plugin-cloud
  • Version: 2.0.0
  • Schema Version: 2.0
  • Category: Cloud Infrastructure
  • Size: ~15 KB (gzipped)
  • Total Resources: 18 (8 agents + 4 commands + 1 rule + 5 scripts)

📦 Installation

# Install the plugin package
npm install -g @claudeautopm/plugin-cloud

# Install plugin agents to your project
autopm plugin install cloud

🎯 What's Included

Cloud Architecture Agents (8 agents)

AWS

  • aws-cloud-architect - AWS cloud architecture and infrastructure design patterns
    • Tags: aws, cloud, architecture, ec2, s3, vpc
    • Context7: AWS documentation, Terraform AWS provider
    • MCP: aws, terraform

Azure

  • azure-cloud-architect - Azure cloud architecture and design patterns
    • Virtual Networks, NSGs, Application Gateways
    • VMs, App Services, Container Instances
    • Storage accounts, Azure SQL, Cosmos DB

Google Cloud Platform

  • gcp-cloud-architect - GCP architecture and design

    • VPCs, Cloud NAT, Load Balancers
    • Compute Engine, GKE, Cloud Run
    • Cloud Storage, Cloud SQL, Firestore
  • gcp-cloud-functions-engineer - Google Cloud Functions development

    • Function architecture and triggers
    • Event-driven design patterns
    • Integration with GCP services

AI & APIs

  • gemini-api-expert - Google Gemini API integration

    • Gemini Pro and Pro Vision integration
    • Prompt engineering for Gemini models
    • Multi-modal capabilities
  • openai-python-expert - OpenAI API with Python

    • GPT-4, GPT-3.5 integration
    • Assistant API, Embeddings, Fine-tuning
    • Best practices for production use

Infrastructure & Orchestration

  • kubernetes-orchestrator - Kubernetes orchestration

    • Cluster design and architecture
    • Deployment strategies, service mesh
    • Monitoring, logging, security
  • terraform-infrastructure-expert - Infrastructure as Code

    • Multi-cloud Terraform patterns
    • Module design, state management
    • CI/CD integration

💡 Usage

In Claude Code

After installation, agents are available in your project:

<!-- CLAUDE.md -->
## Active Team Agents

<!-- Load cloud agents -->
- @include .claude/agents/cloud/aws-cloud-architect.md
- @include .claude/agents/cloud/terraform-infrastructure-expert.md

Or use autopm team load to automatically include agents:

# Load cloud-focused team
autopm team load cloud

# Or include cloud in fullstack team
autopm team load fullstack

Direct Invocation

# Invoke agent directly from CLI
autopm agent invoke aws-cloud-architect "Design VPC for microservices"

📋 Agent Capabilities

Architecture Design

  • Cloud-native application architecture
  • Microservices patterns
  • Serverless architectures
  • Hybrid cloud strategies

Infrastructure as Code

  • Terraform modules and best practices
  • CloudFormation templates
  • Azure Resource Manager templates
  • Google Cloud Deployment Manager

Security & Compliance

  • IAM policies and least privilege
  • Network security (VPCs, NSGs, firewalls)
  • Encryption at rest and in transit
  • Compliance frameworks (SOC2, HIPAA, GDPR)

Cost Optimization

  • Right-sizing recommendations
  • Reserved instances and savings plans
  • Auto-scaling strategies
  • Resource tagging and allocation

🔌 MCP Servers

This plugin works with the following MCP servers for enhanced capabilities:

  • aws - AWS service documentation and examples
  • azure-cli - Azure CLI commands and patterns
  • terraform - Terraform provider documentation

Enable MCP servers:

autopm mcp enable aws
autopm mcp enable azure-cli
autopm mcp enable terraform

🚀 Examples

AWS Architecture

@aws-cloud-architect

I need to design a highly available web application on AWS.

Requirements:
- Multi-AZ deployment
- Auto-scaling
- Load balancing
- RDS for database
- S3 for static assets
- CloudFront CDN

Please provide:
1. VPC architecture diagram
2. Security groups configuration
3. Auto-scaling policies
4. Cost estimation

Terraform IaC

@terraform-infrastructure-expert

Create Terraform modules for:
- VPC with public/private subnets
- Application Load Balancer
- ECS Fargate cluster
- RDS PostgreSQL instance

Requirements:
- Multi-environment support (dev, staging, prod)
- Remote state in S3
- Module reusability

Kubernetes Deployment

@kubernetes-orchestrator

Design Kubernetes deployment for microservices:
- 5 microservices (API, Auth, Orders, Payments, Notifications)
- Service mesh with Istio
- Monitoring with Prometheus/Grafana
- Ingress with cert-manager

Include:
- Deployment YAMLs
- Service definitions
- Ingress configuration
- HPA policies

🔧 Configuration

Environment Variables

Some agents benefit from environment variables:

# AWS credentials (optional, for enhanced suggestions)
export AWS_PROFILE=your-profile
export AWS_REGION=us-east-1

# Azure credentials
export AZURE_SUBSCRIPTION_ID=your-subscription-id

# GCP credentials
export GOOGLE_CLOUD_PROJECT=your-project-id

Agent Customization

You can customize agent behavior in .claude/config.yaml:

plugins:
  cloud:
    aws:
      default_region: us-west-2
      prefer_fargate: true
    azure:
      default_location: eastus
    gcp:
      default_region: us-central1

📖 Documentation

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

📄 License

MIT © ClaudeAutoPM Team

🔗 Links