@claudeautopm/plugin-cloud
v3.0.0
Published
Complete cloud infrastructure plugin with agents for AWS, Azure, GCP, Kubernetes, Terraform, and infrastructure automation for ClaudeAutoPM
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@claudeautopm/plugin-cloud
Complete Cloud Infrastructure Plugin for ClaudeAutoPM Framework
📋 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.mdOr 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 fullstackDirect 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 estimationTerraform 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 reusabilityKubernetes 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-idAgent 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
- AWS Cloud Architect Guide
- Azure Cloud Architect Guide
- GCP Cloud Architect Guide
- Terraform Expert Guide
- Kubernetes Orchestrator Guide
🤝 Contributing
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
📄 License
MIT © ClaudeAutoPM Team
