Kubernetes

Kubernetes orchestration

Showing 601-624 of 1312 skills
ancoleman

operating-kubernetes

by ancoleman

Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.

Kubernetes 388 7mo ago
ancoleman

designing-distributed-systems

by ancoleman

When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.

Database 388 7mo ago
ancoleman

implementing-tls

by ancoleman

Configure TLS certificates and encryption for secure communications. Use when setting up HTTPS, securing service-to-service connections, implementing mutual TLS (mTLS), or debugging certificate issues.

API Dev 388 7mo ago
enuno

dokploy-mcp

by enuno

AI-driven deployment management using Dokploy MCP server for projects, applications, and databases

API Dev 13 6mo ago
kcns008

gitops

by kcns008

GitOps Agent (Flow) — manages ArgoCD applications, Helm charts, Kustomize overlays, deployment strategies (canary, blue-green, rolling), multi-cluster GitOps, and drift detection for Kubernetes and OpenShift clusters.

CLI Tools 25 4mo ago
kcns008

observability

by kcns008

Observability Agent (Pulse) — handles Prometheus/PromQL metrics, Thanos queries, Loki/ELK log analysis, Grafana dashboards, alert triage and tuning, SLO/SLI management, incident response, and post-incident reviews for Kubernetes and OpenShift.

Database 25 4mo ago
alffei

springboot-init

by alffei

Define development specifications for Spring Boot monolithic projects, supporting multiple technology stack configurations.

Code Gen 69 5mo ago
10K-Digital

yolo

by 10K-Digital

Browser automation skill for Lovable deployments. Activates when: - yolo_mode: on in CLAUDE.md - Running /deploy-edge or /apply-migration commands - After git push when auto_deploy: on (automatic detection) - Any mention of "yolo mode", "automate Lovable", "browser automation" Automatically navigates to Lovable.dev and submits deployment prompts. Runs verification tests based on configuration. Auto-deploys after git push when enabled.

CI/CD 15 6mo ago
personamanagmentlayer

sre-expert

by personamanagmentlayer

Expert-level site reliability engineering, SLOs, incident management, and operational excellence

Debugging 38 6mo ago
chaterm

service-ingress

by chaterm

Kubernetes Service 与 Ingress

API Dev 49 6mo ago
personamanagmentlayer

helm-expert

by personamanagmentlayer

Expert-level Helm 3 package management, chart development, templating, and production operations

Analytics 38 6mo ago
yoanbernabeu

supabase-extract-service-key

by yoanbernabeu

CRITICAL - Detect if the Supabase service_role key is leaked in client-side code. This is a P0 severity issue.

Code Review 57 5mo ago
martinholovsky

cilium-expert

by martinholovsky

"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."

Kubernetes 45 7mo ago
metalagman

github-flow

by metalagman

Use this skill when working with the lightweight GitHub Flow branching model. Ideal for projects with continuous deployment where 'main' is always deployable.

Git & VCS 18 6mo ago
metalagman

go-adk

by metalagman

Use this skill to build, run, deploy, evaluate, and troubleshoot Go agents with Google's Agent Development Kit (google.golang.org/adk), including llmagent config, tools/integrations, callbacks/plugins, sessions/state/memory, workflows, streaming, MCP/A2A, and runtime/deployment patterns.

Agents 18 5mo ago
personamanagmentlayer

devops-expert

by personamanagmentlayer

Expert-level DevOps practices, culture, automation, and continuous delivery

CI/CD 38 6mo ago
personamanagmentlayer

argocd-expert

by personamanagmentlayer

Expert-level ArgoCD GitOps deployment, application management, sync strategies, and production operations

Git & VCS 38 6mo ago
personamanagmentlayer

prometheus-expert

by personamanagmentlayer

Expert-level Prometheus monitoring, metrics collection, PromQL queries, alerting, and production operations

API Dev 38 6mo ago
personamanagmentlayer

linkerd-expert

by personamanagmentlayer

Expert-level Linkerd service mesh management, traffic control, reliability, and production operations

CLI Tools 38 6mo ago
personamanagmentlayer

monitoring-expert

by personamanagmentlayer

Expert-level monitoring and observability with Prometheus, Grafana, logging, and alerting

API Dev 38 6mo ago
Tyler-R-Kendrick

iac

by Tyler-R-Kendrick

Use when working with Infrastructure as Code tools and platforms. Covers Terraform, Pulumi, CloudFormation, Bicep, ARM, Kubernetes, Helm, Docker, Crossplane, and Dagger. USE FOR: choosing IaC tools, comparing Terraform vs Pulumi vs CloudFormation, infrastructure strategy DO NOT USE FOR: specific tool syntax (use the sub-skills: terraform, pulumi, bicep, etc.)

Cloud 9 5mo ago
rocky2431

testing-rules

by rocky2431

Ultra Builder Pro testing discipline rules

Database 9 5mo ago
Tyler-R-Kendrick

kubernetes

by Tyler-R-Kendrick

Use when writing Kubernetes manifests for deploying and managing containerized applications. Covers Deployments, Services, ConfigMaps, Secrets, Ingress, and resource management. USE FOR: Kubernetes manifests, Deployments, Services, Ingress, ConfigMaps, resource management, kubectl DO NOT USE FOR: Helm chart templating (use helm), cloud resource provisioning (use terraform or crossplane), container image builds (use docker)

Docker 9 5mo ago
Aznatkoiny

cpp-reinforcement-learning

by Aznatkoiny

C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime

Kubernetes 9 5mo ago