# Cloud Platforms > Cloud Platforms - Skill: `dnyoussef/cloud-platforms` (Agent Skill, multi-file: 24 files) - Install (CLI): `npx skillmds@latest add dnyoussef/cloud-platforms` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/cloud-platforms/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: DevOps & Infra - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/cloud-platforms --- /*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/ --- name: SKILL version: 1.0.0 description: | [assert|neutral] SKILL skill for operations workflows [ground:given] [conf:0.95] [state:confirmed] category: operations tags: - general author: system cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute SKILL workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic operations processes" --- /*----------------------------------------------------------------------------*/ /* S0 META-IDENTITY */ /*----------------------------------------------------------------------------*/ [define|neutral] SKILL := { name: "SKILL", category: "operations", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S1 COGNITIVE FRAME */ /*----------------------------------------------------------------------------*/ [define|neutral] COGNITIVE_FRAME := { frame: "Aspectual", source: "Russian", force: "Complete or ongoing?" } [ground:cognitive-science] [conf:0.92] [state:confirmed] ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. /*----------------------------------------------------------------------------*/ /* S2 TRIGGER CONDITIONS */ /*----------------------------------------------------------------------------*/ [define|neutral] TRIGGER_POSITIVE := { keywords: ["SKILL", "operations", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S3 CORE CONTENT */ /*----------------------------------------------------------------------------*/ # Cloud Platforms - Multi-Cloud Infrastructure ⭐ GOLD TIER ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. Comprehensive cloud deployment and management for AWS, Google Cloud, and Azure platforms with production-ready automation scripts, infrastructure templates, and multi-cloud testing. **Tier:** Gold **Version:** 2.0.0 **Files:** 20 **Scripts:** 4 automation tools **Templates:** 4 IaC configurations **Tests:** 3 comprehensive suites ## When to Use This Skill Use when deploying applications to cloud platforms, implementing serverless architectures (Lambda, Cloud Functions), managing containerized workloads (ECS, GKE, AKS), or provisioning cloud infrastructure with Terraform/CloudFormation. ## Supported Platforms ### AWS (Amazon Web Services) - **Compute**: EC2, Lambda, ECS, Fargate, Batch - **Storage**: S3, EBS, EFS, Glacier - **Database**: RDS, DynamoDB, Aurora, Redshift - **Networking**: VPC, Route 53, CloudFront, API Gateway - **IaC**: CloudFormation, AWS CDK ### Google Cloud Platform - **Compute**: Compute Engine, Cloud Functions, GKE, Cloud Run - **Storage**: Cloud Storage, Persistent Disk, Filestore - **Database**: Cloud SQL, Firestore, BigQuery, Spanner - **Networking**: VPC, Cloud CDN, Cloud Load Balancing - **IaC**: Deployment Manager, Terraform ### Microsoft Azure - **Compute**: VMs, Azure Functions, AKS, Container Instances - **Storage**: Blob Storage, Disk Storage, Azure Files - **Database**: SQL Database, Cosmos DB, Synapse Analytics - **Networking**: Virtual Network, Traffic Manager, Front Door - **IaC**: ARM Templates, Bicep, Terraform ## Process 1. **Define requirements** - Determine workload type (compute, storage, database) - Assess scaling needs - Identify compliance requirements - Estimate costs 2. **Select platform and services** - Choose cloud provider (AWS/GCP/Azure) - Pick appropriate services for workload - Design for high availability - Plan disaster recovery 3. **Provision infrastructure** - Use Infrastructure as Code (Terraform, CloudFormation) - Implement security best practices - Configure networking and access - Set up monitoring and logging 4. **Deploy applications** - Containerize with Docker - Use CI/CD pipelines - Implement blue-green or canary deployments - Configure auto-scaling 5. **Monitor and optimize** - Track resource utilization - Optimize costs (right-sizing, spot instances) - Review security posture - Implement performance improvements ## Best Practices - **Multi-region**: Deploy across regions for high availability - **Infrastructure as Code**: Never provision manually - **Cost Optimization**: Use reserved instances, spot instances - **Security**: Least privilege IAM, encryption at rest/transit - **Monitoring**: CloudWatch, Stackdriver, Azure Monitor ## 🚀 Automation Tools (Gold Tier) ### Deployment Scripts Located in `resources/scripts/`: 1. **`deploy_aws.py`** (14 KB) - AWS Lambda, ECS Fargate, CloudFormation, EC2 deployment - Usage: `python deploy_aws.py lambda --name func --zip code.zip --handler index.handler` 2. **`deploy_k8s.sh`** (8.3 KB) - Kubernetes kubectl, Helm chart deployment - Usage: `./deploy_k8s.sh helm myapp ./charts/app production values.yaml` 3. **`terraform_apply.py`** (13 KB) - Terraform automation with validation, planning, state management - Usage: `python terraform_apply.py apply --var-file prod.tfvars` 4. **`gcp_deploy.sh`** (10 KB) - GCP Cloud Run, Cloud Functions, GKE, Compute Engine deployment - Usage: `./gcp_deploy.sh cloud-run myservice gcr.io/project/image us-central1` ### Infrastructure Templates Located in `resources/templates/`: 1. **`aws-infra.tf`** (14 KB) - Complete AWS VPC, ALB, ECS Fargate, RDS setup - 30+ Terraform resources for production deployment 2. **`k8s-deployment.yaml`** (7.2 KB) - Production Kubernetes manifest with HPA, Ingress, PDB - 10 K8s resources with health checks and monit /*----------------------------------------------------------------------------*/ /* S4 SUCCESS CRITERIA */ /*----------------------------------------------------------------------------*/ [define|neutral] SUCCESS_CRITERIA := { primary: "Skill execution completes successfully", quality: "Output meets quality thresholds", verification: "Results validated against requirements" } [ground:given] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S5 MCP INTEGRATION */ /*----------------------------------------------------------------------------*/ [define|neutral] MCP_INTEGRATION := { memory_mcp: "Store execution results and patterns", tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"] } [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S6 MEMORY NAMESPACE */ /*----------------------------------------------------------------------------*/ [define|neutral] MEMORY_NAMESPACE := { pattern: "skills/operations/SKILL/{project}/{timestamp}", store: ["executions", "decisions", "patterns"], retrieve: ["similar_tasks", "proven_patterns"] } [ground:system-policy] [conf:1.0] [state:confirmed] [define|neutral] MEMORY_TAGGING := { WHO: "SKILL-{session_id}", WHEN: "ISO8601_timestamp", PROJECT: "{project_name}", WHY: "skill-execution" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S7 SKILL COMPLETION VERIFICATION */ /*----------------------------------------------------------------------------*/ [direct|emphatic] COMPLETION_CHECKLIST := { agent_spawning: "Spawn agents via Task()", registry_validation: "Use registry agents only", todowrite_called: "Track progress with TodoWrite", work_delegation: "Delegate to specialized agents" } [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* S8 ABSOLUTE RULES */ /*----------------------------------------------------------------------------*/ [direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed] [direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed] /*----------------------------------------------------------------------------*/ /* PROMISE */ /*----------------------------------------------------------------------------*/ [commit|confident] SKILL_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]