DevOps Claude Skills
4 344 DevOps skills from 392 authors. They ship releases, run infrastructure and keep watch over what is deployed. Half of them fit into 2 094 tokens or less — that is what one costs your context window when the agent loads it. 513 ship runnable scripts rather than instructions alone. 28 of them cannot work without an MCP server, most often rube. We also found 649 copies of these same skills sitting in other people's repositories — counted once here, not 649 times.
4 344 unique 392 authors 4 updated this month 579 from vendors
| Terraform infrastructure specialist for deploying Genkit applications to production. Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring, and CI/CD for Genkit AI workflows.
| Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go. Deploy to Firebase Functions or Cloud Run with AI monitoring. Use when asked to "create genkit flow" or "implement RAG". Trigger with relevant phrases based on skill purpose.
| Automatically validates and enforces GitHub Actions best practices for Vertex AI and Google Cloud deployments. Expert in Workload Identity Federation (WIF), Vertex AI Agent Engine deployment pipelines, security validation, and CI/CD automation.
| Provides a GitHub pull request dashboard directly in the terminal. Use when the user wants to view PR status, check CI/CD progress, review bot comments, or merge pull requests without leaving Claude Code. Trigger with phrases like "show PR dashboard", "PR status", "check CI progress", "merge this PR", or "review pull request".
| This skill enables Claude to construct GitOps workflows using ArgoCD and Flux. It is designed to generate production-ready configurations, implement best practices, and ensure a security-first approach for Kubernetes deployments. Use this skill when the user explicitly requests "GitOps workflow", "ArgoCD", "Flux", or asks for help with setting up a continuous delivery pipeline using GitOps principles. The skill will generate the necessary configuration files and setup code based on the user's specific requirements and infrastructure.
| Gke Cluster Config - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Gpu Resource Optimizer - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Helm Chart Generator - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Helm Values Manager - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| This skill enables Claude to automatically check for HIPAA (Health Insurance Portability and Accountability Act) compliance issues in codebases, infrastructure configurations, and documentation. It leverages the hipaa-compliance-checker plugin to identify potential violations related to data privacy, security, and access controls. Use this skill when the user explicitly requests to "check HIPAA compliance", "scan for HIPAA violations", "assess HIPAA readiness", or similar phrases related to HIPAA audits and security best practices. It is useful for projects handling protected health information (PHI) and requiring adherence to HIPAA regulations.
| Iam Binding Creator - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Iam Policy Creator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| Iam Role Generator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
Implement Real User Monitoring (RUM) to capture actual user performance data including Core Web Vitals and page load times. Use when setting up user experience monitoring or tracking custom performance events. Trigger with phrases like "setup RUM", "track Core Web Vitals", or "monitor real user performance".
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| This skill enables Claude to detect infrastructure drift from a desired state. It uses the `drift-detect` command to identify discrepancies between the current infrastructure configuration and the intended configuration, as defined in infrastructure-as-code tools like Terraform. Use this skill when the user asks to check for infrastructure drift, identify configuration changes, or ensure that the current infrastructure matches the desired state. It is particularly useful in DevOps workflows for maintaining infrastructure consistency and preventing configuration errors. Trigger this skill when the user mentions "drift detection," "infrastructure changes," "configuration drift," or requests a "drift report."
| This skill enables Claude to collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. It is triggered when the user requests "collect infrastructure metrics", "monitor server performance", "set up performance dashboards", or needs to analyze system resource utilization. The skill configures metrics collection, sets up aggregation, and helps create infrastructure dashboards for health monitoring and capacity tracking. It supports configuration for Prometheus, Datadog, and CloudWatch.
| Manage this skill enables AI assistant to seamlessly integrate with various secrets managers like hashicorp vault and aws secrets manager. it generates configurations and setup code, ensuring best practices for secure credential management. use this skill when... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
| Jenkins Pipeline Intro - Auto-activating skill for DevOps Basics. Part of the DevOps Basics skill category.
| Kubernetes Configmap Handler - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Kubernetes Deployment Creator - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Kubernetes Ingress Config - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Kubernetes Rbac Analyzer - Auto-activating skill for Security Advanced. Part of the Security Advanced skill category.
| Kubernetes Secrets Manager - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Kubernetes Service Manager - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Lambda Function Generator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| Lambda Layer Creator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| This skill configures load balancers, including ALB, NLB, Nginx, and HAProxy. It generates production-ready configurations based on specified requirements and infrastructure. Use this skill when the user asks to "configure load balancer", "create load balancer config", "generate nginx config", "setup HAProxy", or mentions specific load balancer types like "ALB" or "NLB". It's ideal for DevOps tasks, infrastructure automation, and generating load balancer configurations for different environments.
| This skill sets up log aggregation solutions using ELK (Elasticsearch, Logstash, Kibana), Loki, or Splunk. It generates production-ready configurations and setup code based on specific requirements and infrastructure. Use this skill when the user requests to set up logging infrastructure, configure log aggregation, deploy ELK stack, deploy Loki, deploy Splunk, or needs help with observability. It is triggered by terms like "log aggregation," "ELK setup," "Loki configuration," "Splunk deployment," or similar requests for centralized logging solutions.
| Execute use when you need to work with containerization. This skill provides container management and orchestration with comprehensive guidance and automation. Trigger with phrases like "containerize app", "manage containers", or "orchestrate deployment".
| Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".
| Execute use when managing Kubernetes network policies and firewall rules. Trigger with phrases like "create network policy", "configure firewall rules", "restrict pod communication", or "setup ingress/egress rules". Generates Kubernetes NetworkPolicy manifests following least privilege and zero-trust principles.
| Memorystore Config - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."
| Model Drift Detector - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Export Helper - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Pruning Helper - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Quantization Tool - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Registry Manager - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Versioning Manager - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill when the user mentions "track versions", "model registry", "MLflow", or requests assistance with AI/ML model deployment and management. This skill facilitates the implementation of best practices for model versioning, automation of model workflows, and performance optimization.
| Build real-time API monitoring dashboards with metrics, alerts, and health checks. Use when tracking API health and performance metrics. Trigger with phrases like "monitor the API", "add API metrics", or "setup API monitoring".
| Monitor this skill enables AI assistant to monitor and analyze cpu usage patterns within applications. it helps identify cpu hotspots, analyze algorithmic complexity, and detect blocking operations. use this skill when the user asks to "monitor cpu usage", "opt... Use when setting up monitoring or observability. Trigger with phrases like 'monitor', 'metrics', or 'alerts'.
| Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions. Trigger with phrases like "monitor bridges", "compare bridge fees", "track bridge tx", "bridge TVL", or "cross-chain transfer status".
| Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".
| Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".
Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like "monitor error rates", "track application errors", or "analyze error patterns".
| This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.