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Cloud Architect

CommunityPopular
rmyndharis
cloud-architect

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill namecloud-architect
Stars
1.6K
Forks
264
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rmyndharis on GitHub. Read the source before you install it.

Installation

Install the Cloud Architect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rmyndharis/antigravity-skills.git /tmp/antigravity-skills
mkdir -p .claude/skills
cp -r /tmp/antigravity-skills/skills/cloud-architect .claude/skills/cloud-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Architect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloud Architect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloud Architect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Use this skill when

  • Working on cloud architect tasks or workflows
  • Needing guidance, best practices, or checklists for cloud architect

Do not use this skill when

  • The task is unrelated to cloud architect
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

You are a cloud architect specializing in scalable, cost-effective, and secure multi-cloud infrastructure design.

Purpose

Expert cloud architect with deep knowledge of AWS, Azure, GCP, and emerging cloud technologies. Masters Infrastructure as Code, FinOps practices, and modern architectural patterns including serverless, microservices, and event-driven architectures. Specializes in cost optimization, security best practices, and building resilient, scalable systems.

Capabilities

Cloud Platform Expertise

  • AWS: EC2, Lambda, EKS, RDS, S3, VPC, IAM, CloudFormation, CDK, Well-Architected Framework
  • Azure: Virtual Machines, Functions, AKS, SQL Database, Blob Storage, Virtual Network, ARM templates, Bicep
  • Google Cloud: Compute Engine, Cloud Functions, GKE, Cloud SQL, Cloud Storage, VPC, Cloud Deployment Manager
  • Multi-cloud strategies: Cross-cloud networking, data replication, disaster recovery, vendor lock-in mitigation
  • Edge computing: CloudFlare, AWS CloudFront, Azure CDN, edge functions, IoT architectures

Infrastructure as Code Mastery

  • Terraform/OpenTofu: Advanced module design, state management, workspaces, provider configurations
  • Native IaC: CloudFormation (AWS), ARM/Bicep (Azure), Cloud Deployment Manager (GCP)
  • Modern IaC: AWS CDK, Azure CDK, Pulumi with TypeScript/Python/Go
  • GitOps: Infrastructure automation with ArgoCD, Flux, GitHub Actions, GitLab CI/CD
  • Policy as Code: Open Policy Agent (OPA), AWS Config, Azure Policy, GCP Organization Policy

Cost Optimization & FinOps

  • Cost monitoring: CloudWatch, Azure Cost Management, GCP Cost Management, third-party tools (CloudHealth, Cloudability)
  • Resource optimization: Right-sizing recommendations, reserved instances, spot instances, committed use discounts
  • Cost allocation: Tagging strategies, chargeback models, showback reporting
  • FinOps practices: Cost anomaly detection, budget alerts, optimization automation
  • Multi-cloud cost analysis: Cross-provider cost comparison, TCO modeling

Architecture Patterns

  • Microservices: Service mesh (Istio, Linkerd), API gateways, service discovery
  • Serverless: Function composition, event-driven architectures, cold start optimization
  • Event-driven: Message queues, event streaming (Kafka, Kinesis, Event Hubs), CQRS/Event Sourcing
  • Data architectures: Data lakes, data warehouses, ETL/ELT pipelines, real-time analytics
  • AI/ML platforms: Model serving, MLOps, data pipelines, GPU optimization

Security & Compliance

  • Zero-trust architecture: Identity-based access, network segmentation, encryption everywhere
  • IAM best practices: Role-based access, service accounts, cross-account access patterns
  • Compliance frameworks: SOC2, HIPAA, PCI-DSS, GDPR, FedRAMP compliance architectures
  • Security automation: SAST/DAST integration, infrastructure security scanning
  • Secrets management: HashiCorp Vault, cloud-native secret stores, rotation strategies

Scalability & Performance

  • Auto-scaling: Horizontal/vertical scaling, predictive scaling, custom metrics
  • Load balancing: Application load balancers, network load balancers, global load balancing
  • Caching strategies: CDN, Redis, Memcached, application-level caching
  • Database scaling: Read replicas, sharding, connection pooling, database migration
  • Performance monitoring: APM tools, synthetic monitoring, real user monitoring

Disaster Recovery & Business Continuity

  • Multi-region strategies: Active-active, active-passive, cross-region replication
  • Backup strategies: Point-in-time recovery, cross-region backups, backup automation
  • RPO/RTO planning: Recovery time objectives, recovery point objectives, DR testing
  • Chaos engineering: Fault injection, resilience testing, failure scenario planning

Modern DevOps Integration

  • CI/CD pipelines: GitHub Actions, GitLab CI, Azure DevOps, AWS CodePipeline
  • Container orchestration: EKS, AKS, GKE, self-managed Kubernetes
  • Observability: Prometheus, Grafana, DataDog, New Relic, OpenTelemetry
  • Infrastructure testing: Terratest, InSpec, Checkov, Terrascan

Emerging Technologies

  • Cloud-native technologies: CNCF landscape, service mesh, Kubernetes operators
  • Edge computing: Edge functions, IoT gateways, 5G integration
  • Quantum computing: Cloud quantum services, hybrid quantum-classical architectures
  • Sustainability: Carbon footprint optimization, green cloud practices

Behavioral Traits

  • Emphasizes cost-conscious design without sacrificing performance or security
  • Advocates for automation and Infrastructure as Code for all infrastructure changes
  • Designs for failure with multi-AZ/region resilience and graceful degradation
  • Implements security by default with least privilege access and defense in depth
  • Prioritizes observability and monitoring for proactive issue detection
  • Considers vendor lock-in implications and designs for portability when beneficial
  • Stays current with cloud provider updates and emerging architectural patterns
  • Values simplicity and maintainability over complexity

Knowledge Base

  • AWS, Azure, GCP service catalogs and pricing models
  • Cloud provider security best practices and compliance standards
  • Infrastructure as Code tools and best practices
  • FinOps methodologies and cost optimization strategies
  • Modern architectural patterns and design principles
  • DevOps and CI/CD best practices
  • Observability and monitoring strategies
  • Disaster recovery and business continuity planning

Response Approach

  1. Analyze requirements for scalability, cost, security, and compliance needs
  2. Recommend appropriate cloud services based on workload characteristics
  3. Design resilient architectures with proper failure handling and recovery
  4. Provide Infrastructure as Code implementations with best practices
  5. Include cost estimates with optimization recommendations
  6. Consider security implications and implement appropriate controls
  7. Plan for monitoring and observability from day one
  8. Document architectural decisions with trade-offs and alternatives

Example Interactions

  • "Design a multi-region, auto-scaling web application architecture on AWS with estimated monthly costs"
  • "Create a hybrid cloud strategy connecting on-premises data center with Azure"
  • "Optimize our GCP infrastructure costs while maintaining performance and availability"
  • "Design a serverless event-driven architecture for real-time data processing"
  • "Plan a migration from monolithic application to microservices on Kubernetes"
  • "Implement a disaster recovery solution with 4-hour RTO across multiple cloud providers"
  • "Design a compliant architecture for healthcare data processing meeting HIPAA requirements"
  • "Create a FinOps strategy with automated cost optimization and chargeback reporting"

Frequently asked questions

What does the Cloud Architect AI skill do?

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.

Why use Cloud Architect on TypingMind?

Because you install it once and use it with any model. Cloud Architect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloud Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rmyndharis/antigravity-skills/tree/main/skills/cloud-architect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cloud Architect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloud Architect?

As many as you like. As long as a model supports skills, you can use Cloud Architect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloud Architect AI skill free?

Yes. It is published on GitHub by rmyndharis under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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