AGENT SKILLS · EQUIPAMENTO DE MISSÃO
Agent Skills úteis classificados pelo uso real
Compare Skills verificados por finalidade, conteúdo do pacote, instalações e evidências da fonte antes de adicioná-los.
- ESCOPO DO CATÁLOGO
- VERIFICADO
- Skills
- 23.248
- repositórios
- 3589
- última sincronização
- 4 de nov. de 2026
googlecloud-databases-onboarding
Guides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation. Use when a user asks 'What database service should I use?', 'Help me pick a database', or when a user wants to create a new database on Google Cloud. Don't use for general Google Cloud maintenance, managing existing databases, or database migrations.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlecloud-logging-configuration-basics
Configure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlecloud-logging-cross-project-configuration
Configure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlecloud-logging-finops
Audits Cloud Logging costs for a Google Cloud project: the charges for log entries written to log buckets, the services, log streams and severities that drive them, and the log sinks that route them. Reconciles Cloud Billing export costs with Cloud Monitoring volume metrics, and generates a FinOps report with charts and copy-paste exclusion filters. Use when auditing Cloud Logging spend, finding logging waste, identifying top logging contributors, generating log cost reduction reports, or creati
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlecloud-network-insights
Guides and automates setup, onboarding, and synthetic monitoring operations for Cloud Network Insights in Google Cloud and Broadcom AppNeta. Use when enabling Cloud Network Insights, deploying or troubleshooting Monitoring Points across cloud and on-premises environments, configuring Network or Web monitoring policies and AppNeta alarm rules, configuring alert policies, querying path alarms and performance metrics, or verifying synthetic path reachability. Don't use for generic network observabi
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googledatalineage-bigquery-asset-impact-analysis
Analyzes the downstream impact (blast radius) using data lineage on Google Cloud when a BigQuery table or view is broken, stale, or modified. Identifies all downstream tables, dashboards, and processes that will be affected. Use when: - Performing a blast radius or impact analysis for a BigQuery table or view. - Assessing the consequences of modifying, deleting, or pausing updates to a BigQuery asset. - Identifying downstream dependencies (tables, dashboards, processes) of a BigQuery asset. Don'
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googledeveloping-genkit-go
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-handle-disruption-gpu-tpu
Diagnoses, predicts, and mitigates node disruptions during Compute Engine host maintenance and hardware or software maintenance events for GPU and TPU workloads on GKE. Use when diagnosing node disruptions, predicting host maintenance events on GPU/TPU nodepools, inspecting node interruption PromQL metrics, auditing node taints, or configuring workload protection strategies (graceful termination, opportunistic maintenance, PodDisruptionBudgets). Don't use for general GKE cluster creation, networ
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-node-unresponsive-timeout
Diagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown ("Kubelet stopped posting node status") due to host kernel panics, hardware lockups, or disabled node auto-repair. Use when nodes stop heartbeating beyond the node auto-repair threshold and pods remain stuck in Terminating. Don't use for healthy nodes, pod-only application crashes, or routine GKE upgrades.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-tpu-metrics-monitoring
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-tpu-partition-overlap
Diagnose and resolve GKE TPU slice creation failures (SliceCreationFailed) caused by partition overlap conflicts where requested TPU partitions or their nodes are already used by another slice or JobSet. Use when diagnosing GKE TPU slice creation failures with SliceCreationFailed partition or node conflicts. Don't use for general slice lifecycle states or slice provisioning failures without node overlap (use gke-ai-troubleshooting-tpu-dynamic-slices-monitoring), quota exhaustion, or unresponsive
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-tpu-reservation-stockout
Diagnose and resolve cluster-wide GKE TPU node pool creation or scale-up failures caused by Compute Engine reservation stockouts (GCESTOCKOUT, ZONERESOURCEPOOLEXHAUSTED) when existing unhealthy or NotReady TPU node pools in the cluster have node auto-repair disabled and hold reserved TPU capacity. Use when TPU node pool creation or scale-up fails with GCESTOCKOUT, ZONERESOURCEPOOLEXHAUSTED, or ZONERESOURCEPOOLEXHAUSTEDWITHDETAILS despite having a specific Compute Engine TPU reservation. Don't us
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-tpu-slice-mig-stuck-updating
Diagnose and resolve GKE TPU Dynamic Slice creation and JobSet scheduling failures blocked by underlying Compute Engine managed instance groups (MIGs) stuck in an updating or unstable state (isStable=False). Use when TPU slice creation fails with a SliceCreationFailed status reason, when JobSets remain stuck in pending, or when MIG status reflects isStable=False or versionTarget.isReached=False during TPU slice formation. Don't use for SliceCreationFailed causes unrelated to MIG stability (use g
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-ai-troubleshooting-tpu-vm-repair-stuck
Diagnose GKE TPU VM instances stuck in Compute Engine repair (REPAIRING state) after host errors, maintenance events, or faulty host reports in single-host, multi-host, dynamic slicing, and TPU All Capacity mode node pools. Use when TPU instances in a slice node pool remain in REPAIRING, host error events appear in audit logs, or TPU slices are unschedulable due to a VM in repair. Don't use for nodes reporting Ready: Unknown when no VM is in REPAIRING (use gke-ai-troubleshooting-node-unresponsiv
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-alert-configuration
Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using Multi-Window Multi-Burn-Rate SLO alerts, memory saturation, and cluster health such as CrashLoopBackOff and Node NotReady conditions. Don't use for non-GKE compute runtimes such as stand
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-app-onboarding
Manages 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).
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-backup-dr
Configures Backup for GKE: the BackupRestore cluster addon, BackupPlan and RestorePlan resources, restore workflows, and CMEK-encrypted backups. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-cluster-autoscaler
Trigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. Do not use for ComputeClass-specific YAML generation or priority configuration (defer to gke-compute-classes skill).
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-compute-classes
Configures, 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.
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-custom-golden-image-discovery
Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-manifest-generation
Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod tro
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-networking
Plans, configures, and manages core GKE cluster networking. Covers private clusters, VPC-native configurations, DNS, node egress, Dataplane V2, and IP planning. Use when designing GKE networking layouts, configuring private clusters, setting up Dataplane V2, planning GKE IP ranges, or managing VPC- native cluster modes. Don't use for application ingress, load balancing, or service networking (use gke-service-networking instead).
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-observability
Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection, to diagnose GKE control plane, API server, admission webhook, etcd storage, node registration or label, and pod eviction, preemption, or scheduling issues using GKE metrics, Kubernetes events, and Cloud Logging, and to troubleshoot Managed Service for Prometheus (GMP) issues such as missing metr
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.
googlegke-service-networking
Configures GKE edge networking, traffic routing, load balancing, and private service endpoints. Use when configuring Gateway API manifests, standard Ingress, Cloud Armor WAF security policies, Container-Native Load Balancing (NEGs), Private Service Connect (PSC), or Google-managed SSL certificates on GKE, and to troubleshoot Ingress and load-balancer 502/5xx errors, backend health-check failures, connection draining, and TLS/SSL policy enforcement. Don't use for core cluster IP planning, Datapla
- Instalações / 1h
- 3
- GitHub Stars
- 21,8 mil
- Atualizado
- 3 de nov.