Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Optimize Google Kubernetes Engine costs through right-sizing resources, choosing cost-effective cluster modes, and implementing autoscaling strategies. Use when analyzing GKE spending, comparing Autopilot vs St...
Configure OADP for AWS with S3 storage, EBS snapshots, IAM policies, and support for standard clusters and ROSA (Red Hat OpenShift Service on AWS).
Deploy and update applications on GKE using rolling updates, blue-green deployments, and health checks. Use when deploying new versions, rolling back failed deployments, configuring Spring Boot health probes (l...
k3d Kubernetes cluster management - lightweight k3s clusters running in Podman containers on the bazzite-ai network. Supports GPU passthrough, multi-instance, and service discovery with other bazzite-ai pods. U...
To keep in mind when working with Kubernetes
Provision and manage cloud infrastructure using Infrastructure as Code. Use when creating or modifying GCP resources, managing Pub/Sub topics and subscriptions, configuring IAM bindings, deploying multi-environ...
Provision and manage GCP resources with Terraform. Use when working with Pub/Sub topics/subscriptions, GKE clusters, Cloud SQL, IAM roles, Cloud Storage, VPCs, service accounts, or any GCP service. Covers provi...
A high-level orchestration skill designed for end-to-end workflows, moving a project from a PRD to full Production deployment.
Create or update APISIX ApisixRoute (v2) YAML for Gold Card services. Use when asked to add or modify gateway routes, map hosts/paths to Kubernetes services, configure APISIX route plugin configs (plugin_config...
Handle sensitive data securely in Terraform. Use when managing passwords, API keys, database credentials, encryption keys, or other secrets. Covers Google Secret Manager integration, preventing secrets in state...
Guide for building CI/CD pipelines, managing infrastructure as code, and implementing deployment best practices. Use when setting up pipelines, containerizing applications, or configuring infrastructure.
Load when editing Dockerfile, docker-compose*.yml, or managing containers. Provides container management patterns for development and production environments.
Automates Dockerfile optimization, multi-stage build configurations, and container security hardening.
Safe Docker cleanup and compose stack management. Prune unused containers/images/volumes, redeploy stacks.
Implement Workload Identity for secure, keyless authentication between GKE pods and Google Cloud services. Use when setting up pod authentication to Pub/Sub, Cloud SQL, Secret Manager, or other GCP services. El...
Set up and configure Google Kubernetes Engine (GKE) clusters for production use. Use when creating new GKE clusters, choosing between Autopilot vs Standard modes, configuring networking (VPC-native, private clu...
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and re...
Manage Portainer deployments - create stacks from Git repos, check deployment status, redeploy, view logs. Use when user asks about deploying to Portainer, checking stack status, or managing Docker deployments.
ユーザーの責任範囲定義から、Agentのマークダウンファイルを生成する。エージェント作成時、プラグイン要素生成時、またはユーザーがエージェント定義、責任範囲、Agent生成、エージェントドキュメントに言及した際に使用する...
Collect and analyze OADP diagnostic data using oadp-must-gather to troubleshoot backup, restore, and deployment issues.
Check currently firing Grafana alerts, analyze alert status, and investigate alert issues in the Kagenti platform
Investigate platform incidents, perform RCA, create incident documentation, and follow alert runbooks in the Kagenti platform
Query and analyze logs using Grafana Loki for the Kagenti platform, search for errors, and investigate issues
Implement comprehensive audit logging for all admin actions, capturing user ID, action type, entity changes, IP address, and user agent. Use when tracking system activities or adding audit trails.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.