cloud-infrastructure
Cloud infrastructure design and deployment patterns for AWS, Azure, and GCP. Use when designing cloud architectures, implementing IaC with Terraform, optimizing costs, or setting up multi-region deployments.
What this skill does
# Cloud Infrastructure Comprehensive cloud infrastructure skill covering multi-cloud architecture, Infrastructure as Code, cost optimization, and production deployment patterns. ## When to Use This Skill - Designing cloud architecture for new applications - Implementing Infrastructure as Code (Terraform, CloudFormation, Pulumi) - Cost optimization and resource right-sizing - Multi-region and high-availability deployments - Cloud migration planning - Security and compliance implementation - Auto-scaling and performance optimization ## Cloud Architecture Patterns ### Compute Patterns | Pattern | AWS | Azure | GCP | Use Case | |---------|-----|-------|-----|----------| | Serverless | Lambda | Functions | Cloud Functions | Event-driven, variable load | | Containers | ECS/EKS | AKS | GKE | Microservices, consistent env | | VMs | EC2 | Virtual Machines | Compute Engine | Legacy apps, full control | | Batch | Batch | Batch | Batch | Large-scale processing | ### Storage Patterns | Type | AWS | Azure | GCP | Use Case | |------|-----|-------|-----|----------| | Object | S3 | Blob Storage | Cloud Storage | Static files, backups | | Block | EBS | Managed Disks | Persistent Disk | Database storage | | File | EFS | Azure Files | Filestore | Shared file systems | | Archive | Glacier | Archive | Coldline | Long-term retention | ### Database Patterns | Type | AWS | Azure | GCP | Use Case | |------|-----|-------|-----|----------| | Relational | RDS, Aurora | SQL Database | Cloud SQL | ACID transactions | | NoSQL | DynamoDB | Cosmos DB | Firestore | Flexible schema | | Cache | ElastiCache | Cache for Redis | Memorystore | Session, caching | | Data Warehouse | Redshift | Synapse | BigQuery | Analytics | ## Infrastructure as Code ### Terraform Best Practices **Project Structure:** ``` infrastructure/ ├── modules/ │ ├── networking/ │ ├── compute/ │ └── database/ ├── environments/ │ ├── dev/ │ ├── staging/ │ └── prod/ ├── main.tf ├── variables.tf ├── outputs.tf └── versions.tf ``` **State Management:** - Use remote state (S3, Azure Blob, GCS) - Enable state locking (DynamoDB, Blob lease) - Separate state per environment - Never commit state files **Module Design:** - Single responsibility per module - Expose minimal required variables - Document inputs/outputs - Version modules with git tags ### Cost Optimization **Compute Savings:** - Reserved Instances (1-3 year commitment): 30-60% savings - Spot/Preemptible instances: 60-90% savings for interruptible workloads - Right-sizing: Match instance size to actual usage - Auto-scaling: Scale down during low usage **Storage Savings:** - Lifecycle policies: Auto-transition to cheaper tiers - Compression: Reduce storage footprint - Deduplication: Eliminate redundant data - Delete unused resources: Orphaned volumes, snapshots **Network Savings:** - Use CDN for static content - Optimize data transfer paths - Use private endpoints - Compress API responses ## High Availability Patterns ### Multi-AZ Deployment - Deploy across 2-3 availability zones - Use load balancers for distribution - Database replication across AZs - Automatic failover configuration ### Multi-Region Deployment - Active-active or active-passive - DNS-based routing (Route53, Traffic Manager) - Data replication strategy - Disaster recovery procedures ### Resilience Patterns - Circuit breakers for external dependencies - Retry with exponential backoff - Bulkhead isolation - Graceful degradation ## Security Best Practices ### Identity & Access - Principle of least privilege - Use IAM roles, not long-term credentials - Enable MFA for privileged accounts - Regular access reviews ### Network Security - VPC/VNet isolation - Security groups as firewalls - Private subnets for backend services - VPN/Direct Connect for hybrid ### Data Protection - Encryption at rest (KMS) - Encryption in transit (TLS) - Key rotation policies - Backup and recovery testing ## Monitoring & Observability ### Key Metrics - CPU, Memory, Disk utilization - Network throughput and latency - Error rates and types - Cost per service/team ### Alerting Strategy - Set thresholds based on baselines - Alert on symptoms, not causes - Runbooks for each alert - Escalation paths defined ## Reference Files - **`references/terraform_patterns.md`** - IaC patterns and examples - **`references/cost_optimization.md`** - Detailed cost reduction strategies ## Integration with Other Skills - **security-engineering** - For security architecture - **network-engineering** - For network design - **performance** - For optimization strategies - **devops-runbooks** - For operational procedures
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.