DNYoussef /============================================================================/ /* 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
Define requirements
- Determine workload type (compute, storage, database)
- Assess scaling needs
- Identify compliance requirements
- Estimate costs
Select platform and services
- Choose cloud provider (AWS/GCP/Azure)
- Pick appropriate services for workload
- Design for high availability
- Plan disaster recovery
Provision infrastructure
- Use Infrastructure as Code (Terraform, CloudFormation)
- Implement security best practices
- Configure networking and access
- Set up monitoring and logging
Deploy applications
- Containerize with Docker
- Use CI/CD pipelines
- Implement blue-green or canary deployments
- Configure auto-scaling
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/:
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
deploy_k8s.sh(8.3 KB)- Kubernetes kubectl, Helm chart deployment
- Usage:
./deploy_k8s.sh helm myapp ./charts/app production values.yaml
terraform_apply.py(13 KB)- Terraform automation with validation, planning, state management
- Usage:
python terraform_apply.py apply --var-file prod.tfvars
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/:
aws-infra.tf(14 KB)- Complete AWS VPC, ALB, ECS Fargate, RDS setup
- 30+ Terraform resources for production deployment
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]