DevOps & Cloud Infrastructure Bundle

Infrastructure-as-code, CI/CD pipelines, container orchestration, cloud architecture, and monitoring skills for DevOps professionals.

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Included Skills (90)

  1. Cloud DevOps Orchestrator — This workflow assists engineers in managing cloud infrastructure, container orchestration, and CI/CD pipelines across major cloud providers to streamline cloud-native development processes.
  2. Cloud Run Alert Configuration — The skill sets up high‑signal alerting policies for Cloud Run services, jobs, and worker pools, applying proven SRE best practices. It allows SREs and DevOps engineers to write, analyze, or deploy Terraform PromQL alerts that monitor error rates, latency, instance saturation, CPU/memory usage, billable time, job status, and queue backlog. The solution is specifically tailored for Cloud Run workloads and does not apply to GKE or Compute Engine VMs.
  3. Gke Observability — The Gke Observability skill configures Cloud Logging, Cloud Monitoring, and managed Prometheus for Google Kubernetes Engine clusters, enabling comprehensive metrics collection and alerting. It assists DevOps and site reliability engineers in setting up GKE monitoring, troubleshooting Prometheus issues such as missing metrics or unhealthy scrape targets, and resolving permission errors. The skill is not intended for local application logging frameworks or external APMs outside GKE.
  4. DevOps Infrastructure Architect — This tool assists engineers in designing and reviewing robust CI/CD pipelines, container configurations, and production-ready deployment strategies for scalable cloud-native applications.
  5. GitLab DevSecOps Pipeline — This skill configures automated security scanning within GitLab CI/CD pipelines to help developers and security teams identify vulnerabilities early in the software development lifecycle.
  6. DevOps Infrastructure Automator — This tool assists engineers by automating CI/CD pipeline generation, infrastructure as code scaffolding, and deployment management across major cloud platforms.
  7. Azure DevOps Manager — Streamline Azure DevOps resource management and CI/CD automation for developers using the Azure CLI extension for efficient project and pipeline administration.
  8. Terraform Iac — The skill enables professionals to design, provision, and manage cloud infrastructure with Terraform and OpenTofu. It supports creating modules, handling state, and deploying multi‑environment configurations while troubleshooting plan and apply errors. Engineers and DevOps teams benefit from streamlined IaC workflows, provider migrations, and best‑practice implementation across AWS, GCP, and Azure.
  9. Azure Kubernetes — The Azure Kubernetes skill designs, provisions, and optimizes production‑ready AKS clusters, guiding clients through day‑zero checklists, SKU selection, networking, security, and cost analysis. It configures autoscaling, upgrade strategies, and observability to ensure efficient resource usage and reliable operations. DevOps teams and cloud architects benefit from a streamlined, secure, and cost‑effective Kubernetes deployment on Azure.
  10. Cloud Architect — Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.
  11. Cicd Pipeline — The skill generates and refines CI/CD pipelines for GitLab CI and CircleCI, enabling users to quickly set up, automate, and test deployments on these platforms. It supports building pipelines, adding test automation, and configuring continuous integration for non‑GitHub environments, while directing GitHub Actions tasks to a dedicated skill. This service benefits developers and DevOps teams seeking efficient, platform‑specific pipeline solutions.
  12. AWS Lambda — Build and deploy serverless functions on AWS Lambda. Configure triggers,
  13. GCP Cloud Functions — Deploy serverless functions on Google Cloud Functions. Configure triggers
  14. Gitlab Ci Patterns — Comprehensive GitLab CI/CD pipeline patterns for automated testing, building, and deployment.
  15. Kubernetes Helm — The skill automates Kubernetes cluster and Helm chart management, enabling users to write manifests, create and deploy charts, and configure networking components such as services and ingress. It supports advanced operations including autoscaling, secret and config map management, operator development, and cluster troubleshooting. Developers, DevOps engineers, and site reliability engineers benefit from efficient, GitOps‑aligned workflows for application deployment and cluster maintenance.
  16. Azure Enterprise Infra Planner — Azure Enterprise Infra Planner automatically generates secure, compliant Azure landing zones from workload descriptions, enabling cloud architects and platform engineers to design networking, identity, security, and multi‑resource topologies. It produces Bicep or Terraform code for hub‑spoke networks, multi‑region disaster‑recovery topologies, VNet firewalls, private endpoints, subscription‑scope deployments, and Azure Backup for VM workloads, streamlining the planning and provisioning of application‑centric workflows in enterprise environments.
  17. GCP Networking Observability — The GCP Networking Observability skill analyzes VPC Flow Logs, firewall logs, Cloud NAT logs, threat logs, and networking metrics to diagnose Google Cloud networking problems. It runs Connectivity Tests for path diagnostics and queries BigQuery linked datasets for high‑volume traffic analysis, enabling network engineers and DevOps professionals to troubleshoot connection failures, latency, packet loss, and identify top traffic sources.
  18. Google Cloud Networking Observability — The skill analyzes Google Cloud logs, metrics, and diagnostics to investigate networking issues such as dropped traffic, packet loss, and latency. It examines VPC Flow Logs, PSC, serverless connections, NAT, firewall, and threat logs, and runs Connectivity Tests to pinpoint path problems and estimate costs. Engineers and network operators use it to diagnose and resolve complex GCP networking incidents.
  19. Azure Kubernetes Automatic Readiness — The Azure Kubernetes Automatic Readiness skill evaluates AKS workloads and cluster settings to determine compatibility with AKS Automatic. It identifies incompatibilities, produces corrective actions, and guides teams through migration from AKS Standard to AKS Automatic, ensuring smooth transition and deployment validation. This skill benefits DevOps and cloud engineers who need to assess readiness, resolve blockers, and validate manifests for AKS Automatic.
  20. Multi Cloud Architecture — Decision framework and patterns for architecting applications across AWS, Azure, and GCP.
  21. Gitlab Ci — Configure GitLab CI/CD pipelines and runners for automated building,
  22. Cloud Incident Responder — This skill assists security teams in rapidly containing cloud-native threats by isolating compromised resources and gathering forensic evidence across AWS, Azure, and GCP environments.
  23. Cloud Compliance Auditor — This skill automates cloud environment audits against CIS benchmarks to help security professionals identify misconfigurations and maintain continuous compliance across AWS, Azure, and GCP.
  24. Terraform Module Library — Production-ready Terraform module patterns for AWS, Azure, and GCP infrastructure.
  25. Cloud Incident Containment — This tool enables security responders to rapidly isolate compromised cloud resources and revoke credentials across AWS, Azure, and GCP while preserving forensic evidence.
  26. GitLab Workflow Automator — Streamline GitLab project management, issue tracking, and CI/CD pipeline operations for developers using the Rube MCP integration to enhance productivity.
  27. Cloud Resource Analyzer — The Cloud Resource Analyzer scans AWS, GCP, and Azure accounts to locate orphaned, idle, and underutilized resources such as unused EBS volumes, stale snapshots, unattached IPs, idle load balancers, and oversized RDS instances. By identifying these inefficiencies, it enables finance and operations teams to audit cloud spending, streamline infrastructure, and reduce unnecessary costs. The tool delivers actionable insights that help organizations maintain a lean, cost‑effective cloud environment.
  28. DevOps Deployment Specialist — Automates containerization, CI/CD pipeline configuration, and production deployment workflows to help developers transition local code into reliable, shippable cloud environments.
  29. Hybrid Cloud Architect — Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware).
  30. Terraform AWS Architect — This skill assists DevOps engineers in designing reusable, production-grade Terraform modules and implementing secure state management strategies for AWS cloud infrastructure.
  31. Azure Diagnostics — Azure Diagnostics provides engineers with real‑time telemetry, log analysis, and root‑cause insights for production issues across Azure services such as App Service, Container Apps, Functions, AKS, VMs, and messaging platforms. By integrating AppLens, Azure Monitor, and resource health, it identifies problems like high CPU usage, deployment failures, network blocks, pod crashes, and message delivery errors. DevOps and platform teams use these insights to maintain uptime and optimize performance with confidence.
  32. Helm Charts — Create, manage, and deploy Helm charts for Kubernetes package management.
  33. Serverless Debugger — The Serverless Debugger analyzes and optimizes serverless functions on platforms such as AWS Lambda, Vercel Functions, and Cloudflare Workers. It correlates logs across invocations, identifies performance bottlenecks like cold starts and init duration, and generates actionable fixes. Developers and DevOps teams benefit by reducing timeouts, improving function efficiency, and streamlining troubleshooting.
  34. Google Cloud Slo Alert Configuration — The skill configures PromQL-based Service Level Objective alerting policies in Google Cloud Monitoring for resources registered in App Hub or specified individually. It generates Terraform output that can be applied to the target environment. DevOps and SRE teams benefit from precise SLO monitoring without creating standard alerting policies.
  35. Ci Cd And Automation — Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
  36. GKE Cluster Provisioning — Provisions and operates production-ready Google Kubernetes Engine (GKE) clusters, especially using Autopilot, benefiting DevOps and cloud engineers.
  37. Cost Optimization — Strategies and patterns for optimizing cloud costs across AWS, Azure, and GCP.
  38. Lambda IAM Hardener — This tool helps cloud engineers and security teams implement least-privilege IAM policies to secure AWS Lambda execution roles against unauthorized access.
  39. Jenkins — Create and manage Jenkins CI/CD pipelines, configure agents, manage plugins,
  40. AWS Cloud Architect — Provides expert AWS architecture design for startups, focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices.
  41. Github Actions Debugger — Specialized skill for diagnosing, analyzing, and fixing failing GitHub Actions workflows by parsing run logs and pipeline definitions.
  42. Supply Chain Security — Software supply-chain security assessment: SBOM generation, SCA scanning, CI/CD pipeline review, container image audit, build integrity, dependency provenance, and vulnerability reachability verification.
  43. AWS Lambda — The skill enables developers to deploy event‑driven functions in Node.js, Python, Go, Rust, Java, or container images that respond to API Gateway, S3, SQS, DynamoDB streams, and scheduled triggers. It automatically scales from zero to thousands of concurrent executions, charging only for actual invocations. Teams benefit from highly scalable, cost‑efficient compute without server management.
  44. Azure Deploy — The Azure Deploy skill automates the rollout of applications that include a .azure/deployment-plan.md and infrastructure files, running azd up, azd deploy, terraform apply, and az deployment commands with built‑in error recovery. It enables development and operations teams to push a prepared application to production on Azure, ensuring a smooth, validated launch. The skill is not used for creating new applications or setting up infrastructure; those tasks are handled by azure-prepare.
  45. AWS Serverless Architect — This skill assists developers in building, deploying, and optimizing production-ready serverless applications using AWS Lambda, API Gateway, and infrastructure-as-code frameworks like SAM or CDK.
  46. Cloud Logging Cross Project Configuration — The skill enables the configuration and troubleshooting of centralized logging across multiple Google Cloud projects, folders, or organizations, routing logs to a single central bucket. It guides the creation of cross‑project log sinks and the setup of central log buckets, ensuring efficient read‑time aggregation. This capability benefits system administrators and DevOps teams managing multi‑project environments who require unified log visibility and streamlined troubleshooting.
  47. Cloud Logging Configuration Basics — The skill teaches how to set up single‑project Cloud Logging on Google Cloud, covering regional log buckets, log sinks, log views, and the use of the default view filter to hide sensitive logs. It also covers IAM permissions for log views, logs‑based metrics, exclusions, and sampling, ensuring secure and efficient log management for organizations that operate within a single project. This knowledge benefits system administrators and DevOps engineers who need precise control over log visibility and compliance in a single‑project environment.
  48. GCP Infrastructure Orchestrator — This skill automates GCP infrastructure design, validation, and deployment workflows for cloud architects using Terraform within the Application Design Center environment.
  49. Azure Monitor Exporter — This tool enables Python developers to export OpenTelemetry traces, metrics, and logs directly to Azure Application Insights for comprehensive cloud monitoring.
  50. GCP Gke — Deploy and manage Google Kubernetes Engine clusters. Configure node pools,
  51. Trivy Security Scanner — Automates vulnerability, misconfiguration, and secret scanning for container images and infrastructure code to help DevSecOps teams enforce security gates in CI/CD pipelines.
  52. Fastlane — Fastlane automates mobile app builds, code signing, and deployment for iOS and Android, handling TestFlight and Play Store uploads, screenshot generation, and CI/CD integration. It streamlines the release pipeline, ensuring consistent, repeatable releases. Developers and DevOps teams benefit from reduced manual effort and faster, error‑free deployments.
  53. GCP Binary Authorization — This skill automates GCP Binary Authorization deployment, helping security engineers enforce container supply-chain integrity by validating cryptographic attestations before GKE or Cloud Run deployments.
  54. Azure Aks — Deploy and manage Azure Kubernetes Service clusters. Configure node pools,
  55. OPA Policy Automator — Automates policy-as-code enforcement using Open Policy Agent and Gatekeeper to help DevOps engineers secure Kubernetes clusters and CI/CD deployment pipelines.
  56. Terraform GCP — Provision GCP infrastructure with Terraform. Configure providers and
  57. Azure Prepare — The Azure Prepare skill generates the azure.yaml, infrastructure files (Bicep or Terraform), and Dockerfiles needed for the Azure Developer CLI workflow. It is used when a project explicitly adopts azd for deployment, enabling modern Azure infrastructure and application configuration. Developers deploying function apps, timer or service bus triggers, or event‑driven workloads benefit from streamlined, cloud‑native setup and deployment.
  58. Pulumi Infrastructure Manager — Assists DevOps engineers in defining and managing cloud infrastructure using Pulumi with familiar programming languages like TypeScript and Python.
  59. Secrets Management Specialist — This tool assists developers and DevOps engineers in implementing secure secret retrieval, workload identity, and automated rotation policies for CI/CD pipeline environments.
  60. Workflow Specification Generator — Generates structured, implementation-agnostic specifications for GitHub Actions workflows to assist DevOps teams in maintaining and understanding complex CI/CD automation processes.
  61. AWS Architecture Designer — Designs scalable and cost-effective AWS architectures using serverless patterns and IaC, assisting startups with cloud infrastructure needs.
  62. GCP Policy Enforcer — This tool automates GCP organization policy implementation via Terraform and gcloud to help security engineers enforce compliance and harden cloud resource configurations.
  63. Cloud Enumeration Assistant — This tool automates CloudFox reconnaissance to help security professionals map attack paths and identify misconfigurations within AWS and Azure cloud environments.
  64. GuardDuty Response Automation — This skill helps security engineers build automated AWS GuardDuty response pipelines using EventBridge and Lambda to accelerate cloud threat remediation and incident response.
  65. GCP Reliability Optimizer — Applies Google Cloud's Well-Architected Framework reliability pillar, helping DevOps engineers build resilient and user-centric production workloads.
  66. Serverless Security Hardener — This tool hardens serverless compute platforms by implementing least-privilege IAM roles, dependency scanning, and runtime monitoring to assist cloud security engineers and developers.
  67. Kubernetes Ops — Deploy, scale, and manage Kubernetes workloads.
  68. Deployment Pipeline Design — Architecture patterns for multi-stage CI/CD pipelines with approval gates and deployment strategies.
  69. Cloud Build Basics — The skill teaches the fundamentals of Google Cloud Build, covering core concepts, API enablement, and console navigation to the Build History page. It guides developers and DevOps engineers through the end‑to‑end workflow for creating and manually running a basic build trigger, providing a solid foundation without delving into private pools or complex pipeline architectures.
  70. Terraform Azure — Provision Azure infrastructure with Terraform. Configure providers, manage
  71. Cloud Trace Querying — The skill queries Cloud Trace spans, filtering by latency thresholds or error status, and correlates distributed traces with Cloud Logging to diagnose latency bottlenecks across Google Cloud services. Engineers investigating slow requests, analyzing trace hierarchies, or resolving latency regressions use it to pinpoint performance issues quickly. It does not support querying non‑GCP telemetry or database query optimization outside Cloud Trace.
  72. Ship Gate — Ship Gate audits a codebase before production, detecting security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. It blocks deployment until all critical problems are resolved, ensuring only fully vetted code reaches production. Developers and release managers rely on Ship Gate as a dependable go‑live checklist that confirms readiness without requiring CI/CD setup or infrastructure provisioning.
  73. K8s Cost Optimizer — The K8s Cost Optimizer evaluates Kubernetes cluster resource allocation against actual usage to identify waste and produce right‑sizing recommendations. It helps cluster administrators and cloud cost managers reduce overprovisioned pods, fine‑tune CPU and memory requests, and lower overall cloud spend while improving cluster efficiency.
  74. Deployment Pipeline Architect — This skill assists DevOps engineers in designing secure, automated CI/CD pipelines and robust GitOps workflows to ensure reliable and efficient software delivery.
  75. Deploy — The Deploy skill provisions Azure resources from validated infrastructure‑as‑code, generating a deploy‑result.json report. It reads prepare‑plan.json and scaffold‑manifest.json to ensure reliable, consistent deployments. Azure administrators and DevOps engineers use it to automate cloud provisioning and perform health checks with confidence.
  76. Azure Weights Biases — This SDK enables developers to deploy and manage Weights & Biases machine learning experiment tracking instances directly within the Azure cloud ecosystem.
  77. Container Security Scanner — This skill deploys Trivy to detect vulnerabilities, misconfigurations, and secrets in container images, helping DevSecOps teams secure their CI/CD pipelines and registries.
  78. Serverless Architecture Architect — This skill assists developers in designing and deploying secure, multi-tier serverless web applications on Google Cloud using private networking and infrastructure-as-code best practices.
  79. Azure WeightsBiases Manager — This SDK enables developers to programmatically deploy and manage Weights & Biases machine learning experiment tracking instances directly within Azure cloud environments.
  80. Container Registries — Manage container registries including ECR, ACR, GCR, and Docker Hub.
  81. GCP Auth — The GCP Auth skill configures authentication and authorization for Google Cloud, managing Application Default Credentials, service account impersonation, Workload Identity Federation for GKE and external clouds, and OIDC ID tokens for service‑to‑service communication. It enables developers and operations teams to set up local development access, deploy to Cloud Run, Cloud Functions, or GKE, and securely call private Google Cloud APIs, streamlining secure access across environments, improving deployment speed, and reducing configuration errors.
  82. Azure Monitor Audit — Configure Azure Monitor and Activity Log for auditing. Set up diagnostic
  83. Azure Arize Management — This .NET SDK enables developers to programmatically manage and configure Arize AI Observability and Evaluation resources within their Azure cloud infrastructure.
  84. GCP Security Hardening — This skill helps DevOps engineers and security architects apply Google Cloud's Well-Architected Framework for security hardening and compliance evaluations.
  85. Azure Infrastructure Architect — This tool enables cloud engineers to design, analyze, and deploy Azure infrastructure using natural language, generating interactive architecture diagrams and Bicep templates automatically.
  86. Porter Deployment Assistant — Provides expert guidance for deploying applications on managed Kubernetes clusters using Porter, a PaaS on your cloud account.
  87. Terraform AWS — Provision AWS infrastructure with Terraform. Create modules, manage state,
  88. Pipeline Automation Architect — This skill helps developers design, implement, and optimize robust CI/CD pipelines for various tech stacks, ensuring efficient build and deployment automation.
  89. Grype — Grype scans container images, directories, and SBOMs for known CVEs, allowing teams to detect vulnerabilities early in CI/CD pipelines. It fails builds according to severity thresholds, triages findings, suppresses false positives, and uploads SARIF reports to GitHub code scanning for seamless integration. Developers and security engineers rely on Grype to keep container deployments secure and compliant.
  90. CI/CD Security Auditor — Automates the identification of supply chain vulnerabilities in GitHub Actions and CI/CD pipelines to help security engineers harden build system configurations.

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