Skill Claude CodeCodex
Covers running workloads through Kubernetes's control loop — requests/limits, liveness/readiness/startup probes, reading describe/events to debug CrashLoopBackOff, OOMKilled, Pending, or empty endpoints, safe rollouts and undo, and guardrails like PodDisruptionBudgets. Use this whenever the user is debugging a pod…
Skill Claude CodeCodex
Hardens the cluster and its workloads — RBAC least-privilege, Pod Security Standards, admission control with OPA/Kyverno, securityContext, secrets at rest, image provenance, and disabling default service-account automount. Use this whenever the user asks about RBAC roles, hardening pod security, writing an admission…
Skill Claude CodeCodex
Covers persistent data in the cluster — PersistentVolumes/Claims, StorageClasses and dynamic provisioning, access modes, StatefulSets, volume lifecycle, and reclaim policy so data survives rescheduling. Use this whenever the user is provisioning a PVC, choosing a StorageClass or access mode, running a stateful…
Skill Claude CodeCodex
Covers safely sharing a Kubernetes cluster across teams or customers — namespace isolation, ResourceQuota and LimitRange, NetworkPolicy tenant boundaries, per-tenant RBAC, noisy-neighbor control, and soft versus hard multi-tenancy. Use this whenever the user is onboarding a team onto a shared cluster, setting quotas…
Skill Claude CodeCodex
Covers extending Kubernetes with CustomResourceDefinitions and controllers — the reconciliation pattern, a CRD as an API contract, why controllers must be level-triggered not edge-triggered, and when to build an operator versus buy one versus not bother. Use this whenever the user is designing a CRD's schema, writing…
Skill Claude CodeCodex
Covers when and how to adopt a service mesh — mTLS between services, traffic shifting, retries/timeouts enforced at the mesh layer, near-free observability, and the real latency and complexity cost of running one. Use this whenever the user asks whether they need a service mesh, is configuring mTLS or…
Skill Claude CodeCodex
Covers the managed front-door pattern for APIs — request routing, centralized auth, rate limiting and quotas, request/response shaping, and recognizing when a gateway helps versus becomes a bottleneck or single point of failure. Use this whenever the user is designing an API entry point, adding rate limits or quotas…
Skill Claude CodeCodex
Covers caching and serving content at the edge — cache keys and TTL design, invalidation strategies, origin shielding, deciding what is safely cacheable, and moving static and dynamic content closer to users. Use this whenever the user is configuring a CDN, choosing cache-control headers, debugging stale or leaking…
Skill Claude CodeCodex
Covers DNS as production infrastructure that can take down everything downstream — record types, TTL tradeoffs, propagation and caching, health-checked failover, and split-horizon setups for internal versus external views. Use this whenever the user is planning a DNS cutover, choosing a TTL, debugging why a domain…
Skill Claude CodeCodex
Covers distributing traffic across healthy backends — L4 versus L7 balancing, algorithms, health checks that detect real failure, connection draining during deploys, and the real latency and capacity cost of sticky sessions. Use this whenever the user is choosing a load balancer type, configuring health checks…
Skill Claude CodeCodex
Covers diagnosing connectivity failures methodically, layer by layer, with the right tool per symptom — dig/nslookup for DNS, curl/openssl for TLS and HTTP, traceroute/mtr for routing, tcpdump for packet capture, and ss/netstat for local socket state. Use this whenever the user reports a connection timing out…
Skill Claude CodeCodex
Covers making service-to-service connections reliable and secure — service discovery, mutual TLS, timeouts and retries with circuit breakers, backpressure under load, and secure links across hybrid or multi-cloud boundaries. Use this whenever the user is setting retry or timeout policy, adding mTLS between services…
arjunprabhulal/ai-boutique-assit-mcp
MCP server Claude CodeCodexCursor
MCP Server for Online Boutique AI Assistant - exposing microservices via Model Context Protocol. Runs locally from the ai-boutique-assit-mcp Python package.