4 308 DevOps skills from 392 authors. They ship releases, run infrastructure and keep watch over what is deployed. Half of them fit into 2 096 tokens or less — that is what one costs your context window when the agent loads it. 507 ship runnable scripts rather than instructions alone. 28 of them cannot work without an MCP server, most often rube. We also found 633 copies of these same skills sitting in other people's repositories — counted once here, not 633 times.
4 308 unique 392 authors 2 042 updated this month 543 from vendors
Expert in CI/CD pipeline design with focus on secret management, code signing, artifact security, and supply chain protection for desktop application builds
Expert in Cilium eBPF-based networking and security for Kubernetes. Use for CNI setup, network policies (L3/L4/L7), service mesh, Hubble observability, zero-trust security, and cluster-wide network troubleshooting. Specializes in high-performance, secure cluster networking.
Expert DevSecOps engineer specializing in secure CI/CD pipelines, shift-left security, security automation, and compliance as code. Use when implementing security gates, container security, infrastructure scanning, secrets management, or building secure supply chains.
Expert in Kanidm modern identity management system specializing in user/group management, OAuth2/OIDC, LDAP, RADIUS, SSH key management, WebAuthn, and MFA. Deep expertise in secure authentication flows, credential policies, access control, and platform integrations. Use when implementing identity management, SSO, authentication systems, or securing access to infrastructure.
Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimization, and quality-performance tradeoffs for deploying LLMs in resource-constrained JARVIS environments.
Expert RabbitMQ administrator and developer specializing in message broker architecture, exchange patterns, clustering, high availability, and production monitoring. Use when designing message queue systems, implementing pub/sub patterns, troubleshooting RabbitMQ clusters, or optimizing message throughput and reliability.
Elite Talos Linux expert specializing in immutable Kubernetes OS, secure cluster deployment, machine configurations, talosctl CLI operations, upgrades, and production-grade security hardening. Expert in Talos 1.6+, secure boot, disk encryption, and zero-trust infrastructure. Use when deploying Talos clusters, configuring machine configs, troubleshooting node issues, or implementing security best practices.
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Configure Azure Monitor and Activity Log for auditing. Set up diagnostic settings and log analytics. Use when auditing Azure activity.
Configure AWS CloudTrail for audit logging. Set up organization trails and event analysis. Use when auditing AWS activity.
Implement centralized audit logging and SIEM integration. Configure log retention and security monitoring. Use when implementing audit trail requirements.
Configure GCP Cloud Audit Logs for compliance. Set up log routing and BigQuery analysis. Use when auditing GCP activity.
Implement FedRAMP requirements for federal cloud services. Configure NIST 800-53 controls and continuous monitoring. Use when providing cloud services to US federal agencies.
Implement policy as code with OPA, Sentinel, and Kyverno. Automate policy enforcement in CI/CD and infrastructure. Use when enforcing compliance through automation.
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
Build production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.
Set up Azure Pipelines for CI/CD, configure build and release pipelines, manage Azure DevOps projects, and integrate with Azure services. Use when working with Azure DevOps Services or Server for enterprise DevOps workflows.
Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.
Configure GitLab CI/CD pipelines and runners for automated building, testing, and deployment. Create .gitlab-ci.yml configurations, manage runners, and implement DevOps workflows. Use when working with GitLab repositories or self-hosted GitLab instances.
Build, test, and deploy applications using GitHub Actions workflows. Create CI/CD pipelines, configure runners, manage secrets, and automate software delivery. Use when working with GitHub repositories, automating builds, running tests, or deploying applications.
Configure CircleCI workflows and orbs for continuous integration and deployment. Create config.yml pipelines, use orbs for reusable configurations, and optimize build performance. Use when working with CircleCI for CI/CD automation.
Build, optimize, and troubleshoot Docker containers and images. Create efficient Dockerfiles, manage container lifecycle, configure networking and volumes, and debug container issues. Use when working with Docker, containerization, or container troubleshooting.
Create and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds. Use when working with Jenkins servers, creating Jenkinsfiles, or setting up build automation for enterprise environments.
Manage containers using Podman, the daemonless container engine. Run rootless containers, create pods, manage images, and use Docker-compatible commands. Use when working with Podman or requiring rootless container operations.
Define and run multi-container Docker applications using Docker Compose. Create compose files, manage service dependencies, configure networks and volumes, and orchestrate local development environments. Use when setting up multi-service applications or development environments.
Manage container registries including ECR, ACR, GCR, and Docker Hub. Push and pull images, configure authentication, set up repository policies, and implement image lifecycle management. Use when working with container image storage and distribution.
Implement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up alerts, and implement distributed tracing. Use when implementing enterprise monitoring, APM, or unified observability platforms.
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring. Use when centralizing logs, implementing search functionality, or building log analytics platforms.
Configure New Relic observability platform for infrastructure and application monitoring. Set up APM agents, create dashboards, configure alerts, and implement distributed tracing. Use when implementing full-stack observability with New Relic One.
Use eBPF for deep kernel-level observability — trace syscalls, network flows, and application behavior without code changes using Cilium, Tetragon, and bpftrace.
Configure Grafana Loki for log aggregation and analysis. Set up Promtail for log collection, write LogQL queries, and integrate with Grafana for visualization. Use when implementing lightweight log aggregation, especially in Kubernetes environments.
Set up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.
Instrument applications and infrastructure with OpenTelemetry for unified traces, metrics, and logs. Use when implementing distributed tracing, service-level troubleshooting, or vendor-neutral observability.
Implement GitOps with ArgoCD for declarative Kubernetes deployments. Configure applications, manage sync policies, implement progressive delivery, and automate deployments from Git repositories. Use when implementing GitOps workflows or continuous deployment to Kubernetes.
Create, manage, and deploy Helm charts for Kubernetes package management. Build reusable chart templates, manage releases, configure values, and use Helm repositories. Use when packaging Kubernetes applications or managing K8s deployments with Helm.
Customize Kubernetes manifests without templating using Kustomize. Create base configurations with environment overlays, manage configuration variants, and patch resources declaratively. Use when managing Kubernetes configurations across multiple environments without Helm.
Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.
Build internal developer platforms (IDPs) with self-service infrastructure, golden paths, and developer portals using Backstage, Crossplane, and score.
Manage Red Hat OpenShift clusters and deployments. Configure projects, routes, builds, and deploy applications using OpenShift-specific features. Use when working with OpenShift Container Platform or OKD for enterprise Kubernetes.
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.
Configure zero-downtime deployment strategies including blue-green, canary, and rolling deployments. Implement traffic shifting, health checks, and rollback procedures. Use when implementing production deployment strategies or zero-downtime releases.
Deploy containers on ECS and Fargate. Configure task definitions, services, and load balancing. Use when running containerized workloads on AWS.
Manage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.
Reduce AWS spend with rightsizing, autoscaling, commitment planning, and storage lifecycle policies. Use when running FinOps reviews, lowering cloud bills, or improving cost-per-request metrics.
Manage IAM users, roles, and policies. Implement least-privilege access and security best practices. Use when configuring AWS identity and access management.
Build and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.
Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.