DevOps & Cloud

Deployment, cloud, containers, CI/CD, monitoring, and infrastructure

skills in category: 19,645
pages available: 819

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Showing 3,817–3,840 of 19,645 skills

Jahro SetupADetects Jahro in Unity projects and guides installation, API key configuration, and feature overview. Use when the user mentions Jahro setup, installation, getting started, debug console, or asks what Jahro can do. Also triggers when no Jahro references are found in a Unity project and the user asks about debugging.devopsc#testingVotes: 0GitHub stars: 36
Jahro ProductionAConfigures Jahro lifecycle controls for safe production deployment including JAHRO_DISABLE, auto-disable, and build validation. Use when the user mentions production builds, release builds, disabling Jahro, shipping, CI/CD, lifecycle controls, or production safety.devopsbashtestingVotes: 0GitHub stars: 36
Indexing Performance OptimizationADiagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.devopsgogitVotes: 0GitHub stars: 36
Hf CliDHugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; con...devopspythongoVotes: 0GitHub stars: 36
Horizontal ScalingADiagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.devopsgonodeVotes: 0GitHub stars: 36
Google Agents Cli OnboardingAOnboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle.devopsgobashVotes: 0GitHub stars: 36
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Gke UpgradesAPlans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters. Produces upgrade plans, pre/post-upgrade checklists, maintenance runbooks with gcloud commands, release channel strategy, and troubleshooting guides. Handles node pool upgrade strategies (surge, blue-green), version compatibility, PDB management, and workload-specific concerns (stateful, GPU, operators). Use this skill whenever the user mentions G...devopsgonodeVotes: 0GitHub stars: 36
Gke StorageAManages GKE storage, including PVCs, PersistentVolumes, Filestore, and GCS FUSE. Use when configuring GKE storage, creating PVCs, or setting up GCS FUSE on GKE. Don't use for database administration or replication strategies outside volume provisioning context.devopsgobashVotes: 0GitHub stars: 36
Gke SecurityAPlans, configures, and hardens Google Kubernetes Engine (GKE) security. Covers Workload Identity Federation, Secret Manager integration, RBAC hardening, Binary Authorization, Network Policies (Dataplane V2), Pod Security Standards, and IAM roles. Use when securing GKE clusters, setting up Workload Identity, hardening RBAC configurations, or configuring GKE secrets. Don't use for general network routing configuration (use gke-networking instead).devopsrustgoVotes: 0GitHub stars: 36
Gke ScalingAConfigures GKE autoscaling, including HPA, VPA, and Node Auto-Provisioning (NAP). Use when configuring GKE autoscaling, setting up GKE HPA, setting up GKE VPA, or configuring GKE NAP. Don't use for configuring static cluster sizes or setting node-level machine styles directly (use gke-compute-classes instead).devopsgobashVotes: 0GitHub stars: 36
Gke ReliabilityAImproves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).devopsgonodeVotes: 0GitHub stars: 36
Gke ObservabilityAConfigures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local application logging frameworks or external APMs outside GKE.devopsgobashVotes: 0GitHub stars: 36
Gke NetworkingAPlans, configures, and manages GKE networking. Covers private clusters, VPC- native configurations, Gateway API, DNS, ingress/egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Gateway API, planning GKE IP ranges, or configuring GKE ingress/egress. Don't use for basic application routing that does not require dedicated network configuration.devopsgobashVotes: 0GitHub stars: 36
Gke InferenceADeploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for generic batch jobs or HPC task queues (use gke-batch-hpc instead).devopsgobashVotes: 0GitHub stars: 36
Gke Golden PathAProvides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns. Use when designing GKE clusters, verifying GKE production readiness, or checking configurations against GKE defaults. Don't use for setting up node autoscaling specifically (use gke-scaling instead).devopsgonodeVotes: 0GitHub stars: 36
Gke CostAOptimizes GKE costs, rightsizes workloads, and configures Spot VMs and CUDs. Use when optimizing GKE costs, rightsizing GKE workloads, or configuring GKE Spot VMs. Don't use for general compute class provisioning or GPU Selection (use gke-compute-classes instead).devopsgobashVotes: 0GitHub stars: 36
Gke Compute ClassesAConfigures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.devopsrustgoVotes: 0GitHub stars: 36
Gke Cluster CreationAPlans and executes GKE cluster creation, provisioning, and production readiness audits. Use when creating GKE clusters, provisioning GKE environments, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).devopsgobashVotes: 0GitHub stars: 36
Gke Batch HpcARuns batch and HPC workloads on GKE, utilizing job queues and parallel processing. Use when running GKE batch jobs, configuring GKE HPC, or setting up GKE job queues. Don't use for standard web application deployments (use gke-app-onboarding instead).devopsgobashVotes: 0GitHub stars: 36
Gke BasicsACore GKE cluster discovery and hub. Use to route to specialized GKE skills. Do not use for specialized tasks (networking, security, etc.) directly.devopsgobashVotes: 0GitHub stars: 36
Gke App OnboardingAManages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).devopsgobashVotes: 0GitHub stars: 36
Cloud Run BasicsAManages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).devopspythongoVotes: 0GitHub stars: 36
Alloydb BasicsAManages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.devopspythongoVotes: 0GitHub stars: 36
Agent Platform TuningAAgent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).devopspythongoVotes: 0GitHub stars: 36