# Infrastructure > Infrastructure - Skill: `dnyoussef/infrastructure` (Agent Skill, multi-file: 18 files) - Install (CLI): `npx skillmds@latest add dnyoussef/infrastructure` - Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/infrastructure/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: DNYoussef (https://skillmd.com/u/dnyoussef) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/dnyoussef/infrastructure --- /*============================================================================*/ /* 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 */ /*----------------------------------------------------------------------------*/ # Infrastructure Orchestration Skill ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Metadata - **Skill ID**: infrastructure-orchestration - **Category**: Infrastructure & DevOps - **Tier**: Gold - **Version**: 2.0.0 - **Last Updated**: 2025-11-02 ## Overview Comprehensive infrastructure orchestration skill that manages cloud resources, containerization, infrastructure as code (IaC), deployment automation, and monitoring setup. This parent skill coordinates specialized sub-skills for Docker containerization and Terraform IaC management. ## Capabilities ### Core Infrastructure Management - **Cloud Provisioning**: Multi-cloud resource provisioning (AWS, Azure, GCP) - **Container Orchestration**: Docker, Kubernetes, Docker Swarm - **Infrastructure as Code**: Terraform, CloudFormation, Pulumi - **Configuration Management**: Ansible, Chef, Puppet - **Deployment Automation**: CI/CD pipelines, blue-green deployments - **Monitoring & Observability**: Prometheus, Grafana, ELK stack, OpenTelemetry ### Specialized Sub-Skills 1. **Docker Containerization** (`docker-containerization/`) - Multi-stage builds, optimization, security scanning - Docker Compose orchestration - Registry management and image distribution 2. **Terraform IaC** (`terraform-iac/`) - Multi-cloud infrastructure provisioning - State management and GitOps workflows - Module development and reusability ## Trigger Conditions Auto-invoke this skill when user mentions: - "infrastructure", "cloud setup", "provision resources" - "deploy to AWS/Azure/GCP", "multi-cloud" - "container orchestration", "Kubernetes", "K8s" - "infrastructure as code", "IaC", "Terraform", "CloudFormation" - "monitoring setup", "observability", "logging" - "configuration management", "Ansible" - "CI/CD pipeline", "deployment automation" ## Agent Assignments **Primary Agents**: - `cicd-engineer` - CI/CD pipeline setup and deployment automation - `backend-dev` - Infrastructure architecture and design - `system-architect` - High-level infrastructure planning **Supporting Agents**: - `code-analyzer` - Infrastructure code review and optimization - `reviewer` - Security and compliance validation - `tester` - Infrastructure testing and validation ## Workflow ### 1. Assessment Phase ```yaml Input: Infrastructure requirements, scale, compliance needs Actions: - Analyze current infrastructure state - Identify gaps and requirements - Select appropriate tools and platforms - Design architecture with redundancy and scalability Output: Infrastructure design document, technology stack selection ``` ### 2. Provisioning Phase ```yaml Input: Architecture design, resource specifications Actions: - Write IaC templates (Terraform/CloudFormation) - Configure networking, security groups, IAM roles - Set up container orchestration (if needed) - Implement multi-region/AZ deployment Output: IaC codebase, provisioned cloud resources ``` ### 3. Deployment Automation Phase ```yaml Input: Application artifacts, deployment strategy Actions: - Configure CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) - Set up container registries and artifact storage - Implement blue-green or canary deployment strategies - Configure auto-scaling and load balancing Output: Automated deployment pipeline, deployment scripts ``` ### 4. Monitoring & Observability Phase ```yaml Input: SLOs, SLIs, alerting requirements Actions: - Deploy monitoring stack (Prometheus, Grafana, ELK) - Configure metrics collection and log aggregation - Set up distributed tracing (Jaeger, Zipkin) - Create dashboards and alerting rules Output: Monitoring infrastructure, dashboards, alert configurations ``` ### 5. Configuration Management Phase ```yaml Input: Server configurations, application configs Actions: - Write Ansible playbooks or Chef recipes - Implement configuration drift detection - Set up secrets management (Vault, AWS Secrets Manager) - Configure envir /*----------------------------------------------------------------------------*/ /* 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]