$npx -y skills add DNYoussef/context-cascade --skill cloud-platforms/*============================================================================*/ /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ /*============================================================================*/
| 1 | /*============================================================================*/ |
| 2 | /* SKILL SKILL :: VERILINGUA x VERIX EDITION */ |
| 3 | /*============================================================================*/ |
| 4 | |
| 5 | --- |
| 6 | name: SKILL |
| 7 | version: 1.0.0 |
| 8 | description: | |
| 9 | [assert|neutral] SKILL skill for operations workflows [ground:given] [conf:0.95] [state:confirmed] |
| 10 | category: operations |
| 11 | tags: |
| 12 | - general |
| 13 | author: system |
| 14 | cognitive_frame: |
| 15 | primary: aspectual |
| 16 | goal_analysis: |
| 17 | first_order: "Execute SKILL workflow" |
| 18 | second_order: "Ensure quality and consistency" |
| 19 | third_order: "Enable systematic operations processes" |
| 20 | --- |
| 21 | |
| 22 | /*----------------------------------------------------------------------------*/ |
| 23 | /* S0 META-IDENTITY */ |
| 24 | /*----------------------------------------------------------------------------*/ |
| 25 | |
| 26 | [define|neutral] SKILL := { |
| 27 | name: "SKILL", |
| 28 | category: "operations", |
| 29 | version: "1.0.0", |
| 30 | layer: L1 |
| 31 | } [ground:given] [conf:1.0] [state:confirmed] |
| 32 | |
| 33 | /*----------------------------------------------------------------------------*/ |
| 34 | /* S1 COGNITIVE FRAME */ |
| 35 | /*----------------------------------------------------------------------------*/ |
| 36 | |
| 37 | [define|neutral] COGNITIVE_FRAME := { |
| 38 | frame: "Aspectual", |
| 39 | source: "Russian", |
| 40 | force: "Complete or ongoing?" |
| 41 | } [ground:cognitive-science] [conf:0.92] [state:confirmed] |
| 42 | |
| 43 | ## Kanitsal Cerceve (Evidential Frame Activation) |
| 44 | Kaynak dogrulama modu etkin. |
| 45 | |
| 46 | /*----------------------------------------------------------------------------*/ |
| 47 | /* S2 TRIGGER CONDITIONS */ |
| 48 | /*----------------------------------------------------------------------------*/ |
| 49 | |
| 50 | [define|neutral] TRIGGER_POSITIVE := { |
| 51 | keywords: ["SKILL", "operations", "workflow"], |
| 52 | context: "user needs SKILL capability" |
| 53 | } [ground:given] [conf:1.0] [state:confirmed] |
| 54 | |
| 55 | /*----------------------------------------------------------------------------*/ |
| 56 | /* S3 CORE CONTENT */ |
| 57 | /*----------------------------------------------------------------------------*/ |
| 58 | |
| 59 | # Cloud Platforms - Multi-Cloud Infrastructure ⭐ GOLD TIER |
| 60 | |
| 61 | ## Kanitsal Cerceve (Evidential Frame Activation) |
| 62 | Kaynak dogrulama modu etkin. |
| 63 | |
| 64 | |
| 65 | |
| 66 | Comprehensive cloud deployment and management for AWS, Google Cloud, and Azure platforms with production-ready automation scripts, infrastructure templates, and multi-cloud testing. |
| 67 | |
| 68 | **Tier:** Gold |
| 69 | **Version:** 2.0.0 |
| 70 | **Files:** 20 |
| 71 | **Scripts:** 4 automation tools |
| 72 | **Templates:** 4 IaC configurations |
| 73 | **Tests:** 3 comprehensive suites |
| 74 | |
| 75 | ## When to Use This Skill |
| 76 | |
| 77 | 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. |
| 78 | |
| 79 | ## Supported Platforms |
| 80 | |
| 81 | ### AWS (Amazon Web Services) |
| 82 | - **Compute**: EC2, Lambda, ECS, Fargate, Batch |
| 83 | - **Storage**: S3, EBS, EFS, Glacier |
| 84 | - **Database**: RDS, DynamoDB, Aurora, Redshift |
| 85 | - **Networking**: VPC, Route 53, CloudFront, API Gateway |
| 86 | - **IaC**: CloudFormation, AWS CDK |
| 87 | |
| 88 | ### Google Cloud Platform |
| 89 | - **Compute**: Compute Engine, Cloud Functions, GKE, Cloud Run |
| 90 | - **Storage**: Cloud Storage, Persistent Disk, Filestore |
| 91 | - **Database**: Cloud SQL, Firestore, BigQuery, Spanner |
| 92 | - **Networking**: VPC, Cloud CDN, Cloud Load Balancing |
| 93 | - **IaC**: Deployment Manager, Terraform |
| 94 | |
| 95 | ### Microsoft Azure |
| 96 | - **Compute**: VMs, Azure Functions, AKS, Container Instances |
| 97 | - **Storage**: Blob Storage, Disk Storage, Azure Files |
| 98 | - **Database**: SQL Database, Cosmos DB, Synapse Analytics |
| 99 | - **Networking**: Virtual Network, Traffic Manager, Front Door |
| 100 | - **IaC**: ARM Templates, Bicep, Terraform |
| 101 | |
| 102 | ## Process |
| 103 | |
| 104 | 1. **Define requirements** |
| 105 | - Determine workload type (compute, storage, database) |
| 106 | - Assess scaling needs |
| 107 | - Identify compliance requirements |
| 108 | - Estimate costs |
| 109 | |
| 110 | 2. **Select platform and services** |
| 111 | - Choose cloud provider (AWS/GCP/Azure) |
| 112 | - Pick appropriate services for workload |
| 113 | - Design for high availability |
| 114 | - Plan disaster recovery |
| 115 | |
| 116 | 3. **Provision infrastructure** |
| 117 | - Use Infrastructure as Code (Terraform, CloudFormation) |
| 118 | - Implement security best practices |
| 119 | - Configure networking and access |
| 120 | - Set up monitoring and logging |
| 121 | |
| 122 | 4. **Deploy applications** |
| 123 | - Containerize with Docker |
| 124 | - Use CI/CD pipelines |
| 125 | - Implement blue-green or canary deployments |
| 126 | - Configure auto-scaling |
| 127 | |
| 128 | 5. **Monitor and optimize** |
| 129 | - Track resource utilization |
| 130 | - Optimize costs (right-sizing, spot instances) |
| 131 | - Review security posture |
| 132 | - Implement performance improvements |
| 133 | |
| 134 | ## Best Practices |
| 135 | |
| 136 | - **Multi-region**: Deploy across regions for high availability |
| 137 | - **Infrastructure as Code**: Never provision manually |
| 138 | - **Cost Optimization**: Use reserved instances, spot instances |
| 139 | - **Security**: Least privilege IAM, encryption at rest/transit |